Run the autonomous check using the loop instructions established earlier in this conversation. If you cannot find them, treat this as a no-op tick.
You scheduled this tick via the ScheduleWakeup tool (not a recurring cron). To keep the loop alive, call ScheduleWakeup again at the end of this turn with prompt set to the literal sentinel <<autonomous-loop-dynamic>> — otherwise the loop ends after this tick.
If a Monitor is armed (check TaskList), keep delaySeconds at 1200–1800s — the Monitor is the wake signal and this is only the fallback heartbeat. If you were woken by a <task-notification>, handle the event before rescheduling. To stop the loop, also TaskStop the monitor (use TaskList to find its task ID if no longer in context).
Use PushNotification when the loop can't move further without the user, or when something landed that they'd want to act on now: newly blocked on a decision you won't make alone, third straight tick with nothing to do, you're ending the loop, or a major update arrived (CI went red, a review changes the plan). Progress you made yourself isn't a trigger — the transcript covers that. One ping per state, not per tick.
Autonomous tick — quota should have reset at 2:33. Relaunching the two failed lanes (content-mining, growth-distribution) in their existing worktrees and checking PR state. Status sweep + relaunch:
#!/usr/bin/env bash set +e CODEX="codex exec --json --dangerously-bypass-approvals-and-sandbox --model gpt-5.3-codex-spark -c model_reasoning_effort=high --skip-git-repo-check -" OPS=/srv/aina/ops/lanes WS=/home/ali/agent-workspaces echo "== pre-state ==" pgrep -af "codex exec" | grep -v pgrep | wc -l # content-mining (failed max_output_tokens) — reuse existing worktree CM="$WS/aina-academy-content-mining-20260629" if [ -d "$CM" ]; then cd "$CM" nohup bash -c "cat '$OPS/lane-content-mining.md' | $CODEX" > /srv/aina/ops/codex-content-mining.log 2>&1 & echo "content-mining RELAUNCHED pid=$!" else echo "content-mining worktree MISSING"; fi # growth-distribution (failed quota + skills-bloat) — reuse existing worktree GD="$WS/aina-academy-growth-dist-20260629" if [ -d "$GD" ]; then cd "$GD" nohup bash -c "cat '$OPS/lane-growth-distribution.md' | $CODEX" > /srv/aina/ops/codex-growth-distribution.log 2>&1 & echo "growth-distribution RELAUNCHED pid=$!" else echo "growth-dist worktree MISSING"; fi sleep 12 echo "== post-state (procs) =="; pgrep -af "codex exec" | grep -v pgrep | wc -l echo "== content-mining tail =="; tail -2 /srv/aina/ops/codex-content-mining.log 2>/dev/null | tr -d '\000' | head -2 echo "== growth-distribution tail =="; tail -2 /srv/aina/ops/codex-growth-distribution.log 2>/dev/null | tr -d '\000' | head -2
File created successfully at: /Users/Ali/PKM/scratch/pkm-deepdive/relaunch-failed-lanes.sh (file state is current in your context — no need to Read it back)
cd /Users/Ali/PKM/scratch/pkm-deepdive base64 < relaunch-failed-lanes.sh | ./vds-exec.sh runl 'base64 -d > /tmp/relaunch.sh && bash /tmp/relaunch.sh'
== pre-state ==
0
content-mining RELAUNCHED pid=2073829
growth-distribution RELAUNCHED pid=2073830
== post-state (procs) ==
6
== content-mining tail ==
{"type":"item.started","item":{"id":"item_9","type":"command_execution","command":"/bin/bash -lc \"python - <<'PY'\nfrom pathlib import Path\nimport os\npaths=[\n Path('/home/ali/PKM-monorepo/pkm-agent'),\n Path('/Users/Ali/PKM-monorepo/pkm-agent'),\n Path('/srv/aina-hq/pkm-agent'),\n Path('/home/ali/.venv'),\n]\nfor p in paths:\n print(p, p.exists())\nPY\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_9","type":"command_execution","command":"/bin/bash -lc \"python - <<'PY'\nfrom pathlib import Path\nimport os\npaths=[\n Path('/home/ali/PKM-monorepo/pkm-agent'),\n Path('/Users/Ali/PKM-monorepo/pkm-agent'),\n Path('/srv/aina-hq/pkm-agent'),\n Path('/home/ali/.venv'),\n]\nfor p in paths:\n print(p, p.exists())\nPY\"","aggregated_output":"/bin/bash: line 1: python: command not found\n","exit_code":127,"status":"failed"}}
== growth-distribution tail ==
{"type":"item.started","item":{"id":"item_7","type":"command_execution","command":"/bin/bash -lc 'git status --short'","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_7","type":"command_execution","command":"/bin/bash -lc 'git status --short'","aggregated_output":"","exit_code":0,"status":"completed"}}Both lanes relaunched and running (6 procs, no quota error — the reset cleared it). content-mining is locating the pkm-agent, growth-distribution is reconciling git state. The P2 bot-comment fixes on the 3 PRs are deferred to next tick to avoid quota contention with these priority relaunches — the PRs are already review-ready, so the nits aren't blocking.
Re-arming the heartbeat for after the lanes should finish:
{
"delaySeconds": 1500,
"reason": "content-mining + growth-distribution relaunched and running (~15-30min); waking to verify their reports/PRs and then dispatch the deferred P2 bot-comment fixes on PRs #106/#107/#11 once they free the quota.",
"prompt": "<<autonomous-loop-dynamic>>"
}Next wakeup scheduled for 15:05:00 (in 1540s). Nothing more to do this turn — the harness re-invokes you when the wakeup fires or a task-notification arrives.
Tick complete. Both previously-failed lanes (content-mining, growth-distribution) are relaunched and running cleanly now that the model quota reset; the 3 PRs remain review-ready. Next check ~15:05 to verify the lane outputs and dispatch the deferred P2 bot-comment fixes. Nothing needs you.
Run the autonomous check using the loop instructions established earlier in this conversation. If you cannot find them, treat this as a no-op tick.
You scheduled this tick via the ScheduleWakeup tool (not a recurring cron). To keep the loop alive, call ScheduleWakeup again at the end of this turn with prompt set to the literal sentinel <<autonomous-loop-dynamic>> — otherwise the loop ends after this tick.
If a Monitor is armed (check TaskList), keep delaySeconds at 1200–1800s — the Monitor is the wake signal and this is only the fallback heartbeat. If you were woken by a <task-notification>, handle the event before rescheduling. To stop the loop, also TaskStop the monitor (use TaskList to find its task ID if no longer in context).
Use PushNotification when the loop can't move further without the user, or when something landed that they'd want to act on now: newly blocked on a decision you won't make alone, third straight tick with nothing to do, you're ending the loop, or a major update arrived (CI went red, a review changes the plan). Progress you made yourself isn't a trigger — the transcript covers that. One ping per state, not per tick.
Tick — checking whether the relaunched lanes finished and produced reports/PRs, plus the 3 PRs' current state:
cd /Users/Ali/PKM/scratch/pkm-deepdive
./vds-exec.sh run 'set +e
export PATH=$PATH:/usr/local/bin
echo "== codex procs =="; pgrep -af "codex exec" | grep -v pgrep | wc -l
echo "== reports (content-mining / growth-distribution) =="; ls -lt --time-style=+%H:%M /srv/aina/ops/{content-mining,growth-distribution}-report.md 2>/dev/null
echo "== lane log tails =="
for l in content-mining growth-distribution; do echo "### $l"; tail -2 "/srv/aina/ops/codex-$l.log" 2>/dev/null | tr -d "\000" | head -2; done
echo "== branch commits =="
cd /srv/repos/aina-academy 2>/dev/null
for b in content-mining-2026-06-29 growth-distribution-strategy-2026-06-29; do echo "--- $b ---"; git log --oneline -2 "ali/$b" 2>/dev/null; done
echo "== open PRs in aina-academy (recent) =="
gh pr list --repo ainative-academy/aina-academy --state open --limit 10 --json number,title,headRefName 2>/dev/null | python3 -c "import sys,json
for p in json.load(sys.stdin): print(p[\"number\"],p[\"headRefName\"],\"|\",p[\"title\"][:50])" 2>/dev/null
echo "== 3 PRs state =="
for pr in "ainative-academy/aina-academy 106" "ainative-academy/aina-academy 107" "ainative-academy/aina-mission-control 11"; do
set -- $pr; gh pr view $2 --repo $1 --json number,mergeStateStatus,mergeable,reviewDecision 2>/dev/null
done'== codex procs ==
0
== reports (content-mining / growth-distribution) ==
-rw-rw-r-- 1 ali ali 3899 14:46 /srv/aina/ops/content-mining-report.md
== lane log tails ==
### content-mining
{"type":"item.completed","item":{"id":"item_262","type":"agent_message","text":"Implemented on `ali/content-mining-2026-06-29` with canon-filtered content and markdown/HTML pair coverage.\n\n- Added and staged all requested docs:\n - [docs/content-mining/mined-catalog.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/mined-catalog.md) + [docs/content-mining/mined-catalog.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/mined-catalog.html)\n - [docs/content-mining/library-explainers.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/library-explainers.md) + [docs/content-mining/library-explainers.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/library-explainers.html)\n - [docs/content-mining/reuse-inventory.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/reuse-inventory.md) + [docs/content-mining/reuse-inventory.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/reuse-inventory.html)\n - [docs/content-mining/constitution-draft.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/constitution-draft.md) + [docs/content-mining/constitution-draft.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/constitution-draft.html) (inventory-only, no canon promotion)\n - [docs/content-mining/report.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/report.md) + [docs/content-mining/report.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/report.html)\n - [docs/content-mining/lessons/prompt-to-skill-converter.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/prompt-to-skill-converter.md) + [docs/content-mining/lessons/prompt-to-skill-converter.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/prompt-to-skill-converter.html)\n - [docs/content-mining/lessons/marketing-signal-to-action.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/marketing-signal-to-action.md) + [docs/content-mining/lessons/marketing-signal-to-action.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/marketing-signal-to-action.html)\n - [docs/content-mining/lessons/agent-tool-menu-auditor.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/agent-tool-menu-auditor.md) + [docs/content-mining/lessons/agent-tool-menu-auditor.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/agent-tool-menu-auditor.html)\n - [docs/content-mining/lessons/skill-supply-chain-hygiene.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/skill-supply-chain-hygiene.md) + [docs/content-mining/lessons/skill-supply-chain-hygiene.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/skill-supply-chain-hygiene.html)\n - [docs/content-mining/lessons/mcp-tool-menu-design.md](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/mcp-tool-menu-design.md) + [docs/content-mining/lessons/mcp-tool-menu-design.html](/home/ali/agent-workspaces/aina-academy-content-mining-20260629/docs/content-mining/lessons/mcp-tool-menu-design.html)\n\n- Wrote the ops copy to [ /srv/aina/ops/content-mining-report.md ](/srv/aina/ops/content-mining-report.md).\n\n- Commit: `f1ba485` \n- Branch: `ali/content-mining-2026-06-29` \n- Pushed to origin and opened PR: [https://github.com/ainative-academy/aina-academy/pull/109](https://github.com/ainative-academy/aina-academy/pull/109)\n\n✅ **Landed — committed, backed up to GitHub, and ready for merge in PR #109. The next chat builds on it once merged.**\n"}}
{"type":"turn.completed","usage":{"input_tokens":10913827,"cached_input_tokens":10076800,"output_tokens":92630,"reasoning_output_tokens":32164}}
### growth-distribution
{"type":"error","message":"Error running remote compact task: Codex ran out of room in the model's context window. Start a new thread or clear earlier history before retrying."}
{"type":"turn.failed","error":{"message":"Error running remote compact task: Codex ran out of room in the model's context window. Start a new thread or clear earlier history before retrying."}}
== branch commits ==
--- content-mining-2026-06-29 ---
f1ba485 Add content-mining lane deliverables and lesson artifacts
c0b77c3 Anchor AINA canon routing gaps
--- growth-distribution-strategy-2026-06-29 ---
c0b77c3 Anchor AINA canon routing gaps
dc79869 docs: record recovered Vertex staging proof
== open PRs in aina-academy (recent) ==
109 ali/content-mining-2026-06-29 | Content mining lane: operator lessons and curation
108 ali/flags-on-staging-2026-06-29 | feat(admin): expose factory kanban on staging
107 ali/practice-arena-v2-2026-06-29 | feat(practice): v2 mode engine for Practice Arena
106 ali/landing-ab-fixes-2026-06-29 | fix landing variants: CTA routing, claims-safe cop
== 3 PRs state ==
{"mergeStateStatus":"CLEAN","mergeable":"MERGEABLE","number":106,"reviewDecision":""}
{"mergeStateStatus":"CLEAN","mergeable":"MERGEABLE","number":107,"reviewDecision":""}
{"mergeStateStatus":"CLEAN","mergeable":"MERGEABLE","number":11,"reviewDecision":""}Mixed results: - content-mining SUCCEEDED → all deliverables (catalog, 5 lesson specs, library explainers, reuse inventory, constitution inventory-only) + PR #109. ✅ - growth-distribution FAILED again — this time on context-window exhaustion ("ran out of room"), not quota. The 5-workstream scope is too big for one codex thread (compounded by the repo's skill-discovery bloat). The fix is to split it, not retry whole. - The 3 PRs (#106/#107/#11) remain green/clean/mergeable.
Splitting growth into two smaller lanes and dispatching the deferred P2 bot-fixes (quota is fine — the failure was context, not quota). Writing tight scoped prompts:
cd /Users/Ali/PKM/scratch/pkm-deepdive cat > lane-growth-A.md <<'EOF' # Lane: Growth A — AI-Fluenting campaign + domain portfolio + assessment products ## AUTONOMY: proceed without asking; build, verify, honest gaps; canon=/srv/aina/ops/FACTORY-GUARDRAILS.md. ## SCOPE — do ONLY workstreams 1+2 from /srv/aina/ops/lanes/lane-growth-distribution.md (READ IT for full detail). Keep output focused to fit the context window; do NOT attempt the MCP/skills/referral parts (that is Lane B). 1. **AI-Fluenting / Building-Fluency campaign** — concept, taglines, channel angles (Reddit/X/X-Articles/YouTube/Vertical), daily-tip/weekly-podcast/daily-clips cadence. Creative + TRUE (claims-floor not boring). SIMULATE media prompting, do NOT generate (cost guard). 2. **Domain portfolio activation** — reconcile the ~26 purchased + 6 bought (measureaifluency/aifluencyplatform/forbusiness/careers/aifluenthub/ainativeacademy.io) + AIFluencyScore; find the 25-domain Cloudflare Workers portfolio repo (wiki 2026-05-16/17, "useful-site-first→academy-next", per-domain D1 lead capture, 4-bucket tiering); plan which become assessment products (AIFluencyScore/measureaifluency = "score your AI fluency" diagnostic→funnel), lead-magnet properties, or parked. AI Fluency = category/diagnostic/ladder/credential UNDER aina, NOT a rebrand. ## DELIVER: branch ali/growth-A-campaign-domains-2026-06-29, docs under docs/growth/, report /srv/aina/ops/growth-A-report.md, commit+push+PR. Honest gaps; harness vets before founder. Address Codex bot comments before done. EOF cat > lane-growth-B.md <<'EOF' # Lane: Growth B — AI Fluency category + release own MCP/Skills/Plugins + referral ## AUTONOMY: proceed without asking; build, verify, honest gaps; canon=/srv/aina/ops/FACTORY-GUARDRAILS.md. ## SCOPE — do ONLY workstreams 3+4+5 from /srv/aina/ops/lanes/lane-growth-distribution.md (READ IT). Keep focused to fit context; do NOT do the campaign/domains (Lane A). 3. **AI Fluency CATEGORY positioning** — ride the Anthropic tailwind (Claude desktop shipped an AI Fluency Settings tab, wiki anthropic-ai-fluency-feature); AINA COMPLEMENTS model-agnostically, NO endorsement claim. 4. **Release our own MCP + Skills + Plugins** — reconcile the ALREADY-BUILT free MCP distribution server (ACAD-110 M6, flag-off) → publish plan; plan public AINA Skills + Plugins as distribution. These surfaces make Constitution 3.9 "practice anywhere" literally true over time (future-tense in marketing until shipped). 5. **Referral mechanics** — design FROM the existing spec: wiki aina-referral-mechanic-spec-2026-05-16 + aina-plg-activation-playbook-2026-05-16 + 2026-05-12 Claude "Building referral mechanics into onboarding" (ADR+D1 schema). Wire into onboarding (assessment→free practice→upgrade→invite). IGNORE the parked Constitution-draft anti-referral line (superseded; not canon). ## DELIVER: branch ali/growth-B-channels-2026-06-29, docs under docs/growth/, report /srv/aina/ops/growth-B-report.md, commit+push+PR. Honest gaps; harness vets before founder. Address Codex bot comments before done. EOF cat > botfix-106.md <<'EOF' # Lane: Address Codex bot P2 comments on PR #106 (aina-academy landing fixes) ## AUTONOMY: proceed without asking; small fix pass. In worktree on branch ali/landing-ab-fixes-2026-06-29. Address the 2 P2 Codex-bot review comments on PR https://github.com/ainative-academy/aina-academy/pull/106: 1. **MarketingLanding.tsx (~line 231):** secondary CTAs that only jump to #practice (and senior-pro /playground) still go through onCtaClick which emits signup-intent telemetry — don't count secondary clicks as signup intent (emit a distinct/secondary event or none). 2. **marketing.css (~line 198):** ops-manager variant overrides highlighted headline/section span to --aina-cream (off-white) on a LIGHT bg → low contrast; fix so the ops accent stays readable on light. Run pnpm claims:scan + build + tests; commit + push to the PR branch; reply to the bot threads noting the fix. Honest if anything can't be fixed. Do NOT merge. EOF cat > botfix-107.md <<'EOF' # Lane: Address Codex bot P2 comment on PR #107 (aina-academy practice-arena-v2) ## AUTONOMY: proceed without asking; small fix pass. In worktree on branch ali/practice-arena-v2-2026-06-29. Address the P2 Codex-bot comment on PR https://github.com/ainative-academy/aina-academy/pull/107: - **workers/api/src/modules/practice/routes.ts (~line 79):** when a run starts as pure_simulation or client_side_llm, an attempt request that does NOT echo the mode (direct API client, retry, page reload) can be mis-scored. Persist the arena mode on the run and use the persisted mode for scoring rather than trusting the per-attempt echo. Run the practice tests + typecheck; commit + push to the PR branch; reply to the bot thread. Honest if blocked. Do NOT merge. EOF cat > botfix-mc11.md <<'EOF' # Lane: Address Codex bot P2 comments on PR #11 (aina-mission-control roadmap) ## AUTONOMY: proceed without asking; small fix pass. Repo /home/ali/aina-mission-control, branch ali/roadmap-mission-control-2026-06-29. Address the 2 P2 Codex-bot comments on PR https://github.com/ainative-academy/aina-mission-control/pull/11: 1. **src/pages/Roadmap.tsx (~line 152):** when /api/roadmap-analytics returns available:false (no POSTHOG_API_KEY), show an "analytics not wired" empty-state instead of zero metrics (which read as real zeros). 2. **functions/api/roadmap-track.js (~line 28):** safeTrack never supplies anonymousId, so every event shares one distinct_id — generate a per-visitor distinct_id (cookie/localStorage) so views/card-opens aren't collapsed. Run npm test + build; commit + push to the PR branch; reply to the bot threads. Honest if blocked. Do NOT merge. EOF echo "prompts written:"; ls -1 lane-growth-A.md lane-growth-B.md botfix-*.md
prompts written: botfix-106.md botfix-107.md botfix-mc11.md lane-growth-A.md lane-growth-B.md
Now pushing all 5 and launching — growth A/B in fresh worktrees, the 3 bot-fixes reusing their existing PR worktrees:
#!/usr/bin/env bash
set +e
HI="exec --json --dangerously-bypass-approvals-and-sandbox --model gpt-5.3-codex-spark -c model_reasoning_effort=high --skip-git-repo-check -"
MED="exec --json --dangerously-bypass-approvals-and-sandbox --model gpt-5.3-codex-spark -c model_reasoning_effort=medium --skip-git-repo-check -"
OPS=/srv/aina/ops/lanes
WS=/home/ali/agent-workspaces
mkdir -p "$OPS"
for f in lane-growth-A lane-growth-B botfix-106 botfix-107 botfix-mc11; do cp "/tmp/$f.md" "$OPS/$f.md" 2>/dev/null; done
launch_new() { # name base newbr wt prompt log args
local name=$1 base=$2 newbr=$3 wt=$4 prompt=$5 log=$6 args=$7
cd /srv/repos/aina-academy || return
git worktree add -B "$newbr" "$wt" "$base" >/dev/null 2>&1
cd "$wt" || return
nohup bash -c "cat '$prompt' | codex $args" > "$log" 2>&1 &
echo "$name pid=$!"
}
launch_existing() { # name dir prompt log args
local name=$1 dir=$2 prompt=$3 log=$4 args=$5
[ -d "$dir" ] || { echo "$name DIR MISSING $dir"; return; }
cd "$dir" || return
nohup bash -c "cat '$prompt' | codex $args" > "$log" 2>&1 &
echo "$name pid=$!"
}
launch_new growth-A ali/flags-on-staging-2026-06-29 ali/growth-A-campaign-domains-2026-06-29 "$WS/aina-academy-growth-A-20260629" "$OPS/lane-growth-A.md" /srv/aina/ops/codex-growth-A.log "$HI"
launch_new growth-B ali/flags-on-staging-2026-06-29 ali/growth-B-channels-2026-06-29 "$WS/aina-academy-growth-B-20260629" "$OPS/lane-growth-B.md" /srv/aina/ops/codex-growth-B.log "$HI"
launch_existing botfix-106 "$WS/aina-academy-landing-fixes-20260629" "$OPS/botfix-106.md" /srv/aina/ops/codex-botfix-106.log "$MED"
launch_existing botfix-107 "$WS/aina-academy-arena-v2-20260629" "$OPS/botfix-107.md" /srv/aina/ops/codex-botfix-107.log "$MED"
launch_existing botfix-mc11 /home/ali/aina-mission-control "$OPS/botfix-mc11.md" /srv/aina/ops/codex-botfix-mc11.log "$MED"
sleep 12
echo "== procs =="; pgrep -af "codex exec" | grep -v pgrep | wc -l
for l in growth-A growth-B botfix-106 botfix-107 botfix-mc11; do
echo "### $l"; tail -1 "/srv/aina/ops/codex-$l.log" 2>/dev/null | tr -d '\000' | head -c 240; echo
done
File created successfully at: /Users/Ali/PKM/scratch/pkm-deepdive/launch-wave5.sh (file state is current in your context — no need to Read it back)
cd /Users/Ali/PKM/scratch/pkm-deepdive tar czf - lane-growth-A.md lane-growth-B.md botfix-106.md botfix-107.md botfix-mc11.md launch-wave5.sh | base64 | ./vds-exec.sh runl 'base64 -d | tar xzf - -C /tmp 2>/dev/null && bash /tmp/launch-wave5.sh'
growth-A pid=2133516
growth-B pid=2133785
botfix-106 pid=2133786
botfix-107 pid=2133787
botfix-mc11 pid=2133788
== procs ==
21
### growth-A
{"type":"item.started","item":{"id":"item_14","type":"command_execution","command":"/bin/bash -lc 'pkm-agent think \"AI Fluenting campaign and AI Fluency domain portfolio activation status for AINA growth distribution\"'","aggregated_output
### growth-B
{"type":"item.started","item":{"id":"item_4","type":"command_execution","command":"/bin/bash -lc 'pkm-agent think \"What did we try or decide about Growth B workstream around AI Fluency positioning, releasing our own MCP/skills/plugins, and
### botfix-106
{"type":"item.completed","item":{"id":"item_12","type":"command_execution","command":"/bin/bash -lc \"sed -n '150,270p' apps/web/src/styles/marketing.css\"","aggregated_output":" background-size: contain;\n opacity: 0.34;\n}\n\n.marketing
### botfix-107
{"type":"item.started","item":{"id":"item_4","type":"command_execution","command":"/bin/bash -lc 'pkm-agent think \"arena mode mis-scored attempts in practice API; should persist run mode on start\"'","aggregated_output":"","exit_code":null
### botfix-mc11
{"type":"item.completed","item":{"id":"item_14","type":"command_execution","command":"/bin/bash -lc 'ls -la'","aggregated_output":"total 308\ndrwxr-xr-x 18 ali ali 4096 Jun 29 13:41 .\ndrwxr-x--- 71 ali ali 4096 Jun 29 12:58 ..\n-rw-rAll 5 launched and running (21 procs, all progressing — growth lanes now scoped to fit context, bot-fixes already digging into the right files). Recording + re-arming:
Activation (resume Finch) left as a deliberate step per governance.
Activation (resume Finch) left as a deliberate step per governance. **WAVE-5 (~15:05):** content-mining LANDED → **PR #109** (catalog + 5 lesson specs + library explainers + reuse-inventory + constitution inventory-only, all w/ HTML). growth-distribution FAILED TWICE (context-window exhaustion — 5 workstreams too big for one codex thread) → **SPLIT into growth-A** (campaign+domains+assessment, branch ali/growth-A-campaign-domains-2026-06-29) **+ growth-B** (category+MCP/skills/plugins+referral, ali/growth-B-channels-2026-06-29) — relaunched smaller. Also dispatched the 3 deferred **P2 bot-fix passes** (#106 secondary-CTA telemetry + ops accent contrast; #107 persist arena mode before scoring; #11 analytics empty-state + per-visitor distinct_id) in their existing PR worktrees (medium effort). LESSON: split big multi-workstream lanes; quota was fine (context was the limit). 5 PRs now: #106 #107 #109 (aina-academy) + MC#11, all green/clean/mergeable, review-ready.
The file /Users/Ali/.claude/projects/-Users-Ali-PKM/memory/project_aina_factory_build_2026_06_29.md has been updated successfully. (file state is current in your context — no need to Read it back)
{
"delaySeconds": 1500,
"reason": "5 lanes running (growth-A/B split + 3 bot-fixes); waking to verify growth-B now fits context, the bot-fixes pushed + resolved threads, and growth A/B reports/PRs landed.",
"prompt": "<<autonomous-loop-dynamic>>"
}Next wakeup scheduled for 15:34:00 (in 1558s). Nothing more to do this turn — the harness re-invokes you when the wakeup fires or a task-notification arrives.
Tick complete. content-mining landed (PR #109). The repeatedly-failing growth-distribution lane was diagnosed (context-window exhaustion, not quota) and split into two smaller lanes that now fit — both running. The 3 deferred P2 bot-fixes are also dispatched into their PR worktrees. Five PRs are review-ready. Next check ~15:34 to verify outcomes. Nothing needs you.
Run the autonomous check using the loop instructions established earlier in this conversation. If you cannot find them, treat this as a no-op tick.
You scheduled this tick via the ScheduleWakeup tool (not a recurring cron). To keep the loop alive, call ScheduleWakeup again at the end of this turn with prompt set to the literal sentinel <<autonomous-loop-dynamic>> — otherwise the loop ends after this tick.
If a Monitor is armed (check TaskList), keep delaySeconds at 1200–1800s — the Monitor is the wake signal and this is only the fallback heartbeat. If you were woken by a <task-notification>, handle the event before rescheduling. To stop the loop, also TaskStop the monitor (use TaskList to find its task ID if no longer in context).
Use PushNotification when the loop can't move further without the user, or when something landed that they'd want to act on now: newly blocked on a decision you won't make alone, third straight tick with nothing to do, you're ending the loop, or a major update arrived (CI went red, a review changes the plan). Progress you made yourself isn't a trigger — the transcript covers that. One ping per state, not per tick.
cd /Users/Ali/PKM/scratch/pkm-deepdive
./vds-exec.sh run 'set +e
export PATH=$PATH:/usr/local/bin
echo "== codex procs =="; pgrep -af "codex exec" | grep -v pgrep | wc -l
echo "== reports =="; ls -lt --time-style=+%H:%M /srv/aina/ops/growth-A-report.md /srv/aina/ops/growth-B-report.md 2>/dev/null
echo "== lane log final lines =="
for l in growth-A growth-B botfix-106 botfix-107 botfix-mc11; do
echo "### $l"; tail -1 "/srv/aina/ops/codex-$l.log" 2>/dev/null | tr -d "\000" | python3 -c "import sys,json
try:
o=json.loads(sys.stdin.read())
t=o.get(\"type\",\"\")
if t==\"turn.completed\": print(\"COMPLETED ok\")
elif t==\"turn.failed\": print(\"FAILED:\", o.get(\"error\",{}).get(\"message\",\"\")[:160])
elif o.get(\"item\",{}).get(\"type\")==\"agent_message\": print(\"MSG:\", o[\"item\"][\"text\"][:400])
else: print(t, str(o)[:160])
except Exception as e: print(\"(running/parse)\", )" 2>/dev/null
done
echo "== open PRs aina-academy =="
gh pr list --repo ainative-academy/aina-academy --state open --limit 12 --json number,headRefName --jq ".[] | \"\(.number) \(.headRefName)\"" 2>/dev/null | head
echo "== bot-fix branch latest commits =="
cd /srv/repos/aina-academy 2>/dev/null
for b in landing-ab-fixes-2026-06-29 practice-arena-v2-2026-06-29 growth-A-campaign-domains-2026-06-29 growth-B-channels-2026-06-29; do echo "--- $b ---"; git log --oneline -1 "ali/$b" 2>/dev/null; done
cd /home/ali/aina-mission-control 2>/dev/null; echo "--- MC roadmap ---"; git log --oneline -1 ali/roadmap-mission-control-2026-06-29 2>/dev/null'== codex procs ==
5
== reports ==
-rw-rw-r-- 1 ali ali 5825 15:11 /srv/aina/ops/growth-A-report.md
== lane log final lines ==
### growth-A
COMPLETED ok
### growth-B
item.started {'type': 'item.started', 'item': {'id': 'item_1422', 'type': 'command_execution', 'command': '/bin/bash -lc \'pkm-agent think "aina growth lane B workstreams AI
### botfix-106
COMPLETED ok
### botfix-107
COMPLETED ok
### botfix-mc11
COMPLETED ok
== open PRs aina-academy ==
110 ali/growth-A-campaign-domains-2026-06-29
109 ali/content-mining-2026-06-29
108 ali/flags-on-staging-2026-06-29
107 ali/practice-arena-v2-2026-06-29
106 ali/landing-ab-fixes-2026-06-29
== bot-fix branch latest commits ==
--- landing-ab-fixes-2026-06-29 ---
6a34cdb Fix marketing CTA telemetry and ops accent contrast
--- practice-arena-v2-2026-06-29 ---
c594c9a fix(practice): persist and enforce run mode for attempts
--- growth-A-campaign-domains-2026-06-29 ---
9491938 docs(growth): add AI-Fluenting campaign and domain activation plan
--- growth-B-channels-2026-06-29 ---
366c9bc Merge remote-tracking branch 'origin/main' into ali/flags-on-staging-2026-06-29
--- MC roadmap ---
c7f73a1 Handle roadmap analytics unavailable state and persist anonymous IDs4 of 5 done cleanly: growth-A → PR #110, and all 3 bot-fixes committed their fixes (CTA telemetry/contrast, arena mode persistence, MC analytics empty-state + anon IDs). growth-B is still running (fit context this time). Verifying the bot-fixes pushed to remote and CI is still green:
cd /Users/Ali/PKM/scratch/pkm-deepdive ./vds-exec.sh run 'set +e export PATH=$PATH:/usr/local/bin for pr in "ainative-academy/aina-academy 106" "ainative-academy/aina-academy 107" "ainative-academy/aina-academy 110" "ainative-academy/aina-academy 109" "ainative-academy/aina-mission-control 11"; do set -- $pr; repo=$1; num=$2 echo "===== $repo #$num =====" gh pr view $num --repo $repo --json mergeStateStatus,mergeable,headRefOid --jq "\"merge=\(.mergeStateStatus) able=\(.mergeable) head=\(.headRefOid[0:8])\"" 2>/dev/null gh pr checks $num --repo $repo 2>/dev/null | head -4 done'
===== ainative-academy/aina-academy #106 ===== merge=CLEAN able=MERGEABLE head=6a34cdb1 local launch-path checks pass 2m9s https://github.com/ainative-academy/aina-academy/actions/runs/28396211924/job/84135483890 ===== ainative-academy/aina-academy #107 ===== merge=CLEAN able=MERGEABLE head=c594c9af local launch-path checks pass 2m17s https://github.com/ainative-academy/aina-academy/actions/runs/28396241328/job/84135587557 ===== ainative-academy/aina-academy #110 ===== merge=CLEAN able=MERGEABLE head=9491938b local launch-path checks pass 1m58s https://github.com/ainative-academy/aina-academy/actions/runs/28396366643/job/84136015952 ===== ainative-academy/aina-academy #109 ===== merge=CLEAN able=MERGEABLE head=f1ba4853 local launch-path checks pass 2m3s https://github.com/ainative-academy/aina-academy/actions/runs/28394982104/job/84131315947 ===== ainative-academy/aina-mission-control #11 ===== merge=UNKNOWN able=UNKNOWN head=c7f73a17
All four aina-academy PRs (#106, #107, #109, #110) are green, clean, mergeable — the bot-fixes pushed and CI re-passed. MC #11 has its fix committed (mergeability still recomputing). growth-B is the only lane still running.
Everything is verified review-ready. I'm deliberately not auto-merging these — they're founder-facing product/marketing surfaces (which landing wins the A/B, the arena, the roadmap) that you explicitly want to review, so they stay as clean PRs for your call. Letting growth-B finish; re-arming:
{
"delaySeconds": 1200,
"reason": "growth-B (category+MCP/skills/plugins+referral) still running with many tool calls — waking to confirm it landed a PR or, if it hit context exhaustion again, split it further. All other lanes done + verified green.",
"prompt": "<<autonomous-loop-dynamic>>"
}Next wakeup scheduled for 15:56:00 (in 1244s). Nothing more to do this turn — the harness re-invokes you when the wakeup fires or a task-notification arrives.
Tick complete. Wave-5 verified: 5 PRs review-ready — the 3 bot-fixes pushed and CI re-passed (#106/#107/#110/#109 all green/clean/mergeable; MC#11 fix committed), and growth-A's campaign + domain-activation plan landed as PR #110. Only growth-B is still running. Holding all PRs as clean review-ready (not auto-merging — they're yours to review). Next check ~15:56. Nothing needs you.
I want you to go through in detail individually what Jessica and other department heads have listed and highlighted as the tasks they need for launch readiness and what their blockers are and skill mapping and lane mapping and bounded tasks and verifier and builder separation and scoped goals - along with defining what should we be deciding and targeting as milestones
Now you can run a full model council here from different lenses and CEO and Agent Ops and Structure and Bounded Tasks and Skill Mapping and Expanding the Agents and or designing workflows and pipeline and the whole train and mapping of the issues and how they move through the train and what should the criteria and everything else be. I want their priorities addressed and let them do whatever they want to and create those issues that they have mentioned
And a few things I’ll figure in parallel but now think and plan
Use ce-plan and auto plan and codex
This is a big, explicit planning + council request — and exactly the kind of multi-lens orchestration you're asking for. Before I can council on "what Jessica and the department heads have listed," I need to pull that material out of the org. Let me reconcile the command surface so I extract it cleanly:
cd /Users/Ali/PKM/scratch/pkm-deepdive ./vds-exec.sh run 'set +e export PATH=$PATH:/usr/local/bin for c in org goal issue dashboard "activity"; do echo "===== $c --help ====="; paperclipai $c --help 2>&1 | sed -n "1,22p"; done'
===== org --help ===== Usage: paperclipai org [options] [command] Organization chart operations Options: -h, --help display help for command Commands: get [options] Get org chart data svg [options] Download org chart SVG png [options] Download org chart PNG help [command] display help for command ===== goal --help ===== Usage: paperclipai goal [options] [command] Goal operations Options: -h, --help display help for command Commands: list [options] List goals for a company get [options] <goalId> Get one goal create [options] Create a goal update [options] <goalId> Update a goal delete [options] <goalId> Delete a goal help [command] display help for command ===== issue --help ===== Usage: paperclipai issue [options] [command] Issue operations Options: -h, --help display help for command Commands: list [options] List issues for a company get [options] <idOrIdentifier> Get an issue by UUID or identifier (e.g. PC-12) delete [options] <issueId> Delete an issue heartbeat-context [options] <issueId> Get heartbeat context for an issue create [options] Create an issue update [options] <issueId> Update an issue comment [options] <issueId> Add comment to issue comments [options] <issueId> List issue comments comment:get [options] <issueId> <commentId> Get one issue comment comment:delete [options] <issueId> <commentId> Delete or cancel one issue comment approvals [options] <issueId> List approvals linked to an issue approval:link [options] <issueId> <approvalId> Link an approval to an issue approval:unlink [options] <issueId> <approvalId> Unlink an approval from an issue read [options] <issueId> Mark an issue as read ===== dashboard --help ===== Usage: paperclipai dashboard [options] [command] Dashboard summary operations Options: -h, --help display help for command Commands: get [options] Get dashboard summary for a company help [command] display help for command ===== activity --help ===== Usage: paperclipai activity [options] [command] Activity log operations Options: -h, --help display help for command Commands: list [options] List company activity log entries create [options] Create a company activity log entry issue [options] <issueId> List activity for an issue help [command] display help for command
Now pulling the evidence base — org chart, goals, issues, dashboard — and summarizing concisely by department:
cd /Users/Ali/PKM/scratch/pkm-deepdive
./vds-exec.sh run 'set +e
export PATH=$PATH:/usr/local/bin
CO=7d58fc13-7c9a-4c87-b9f8-a7cfae8564a9
paperclipai org get --company-id $CO --json 2>/dev/null > /tmp/org.json
paperclipai goal list --company-id $CO --json 2>/dev/null > /tmp/goals.json
paperclipai issue list --company-id $CO --json 2>/dev/null > /tmp/issues.json
paperclipai dashboard get --company-id $CO --json 2>/dev/null > /tmp/dash.json
echo "sizes:"; wc -c /tmp/org.json /tmp/goals.json /tmp/issues.json /tmp/dash.json
python3 - <<"PY"
import json
def load(p):
try: return json.load(open(p))
except Exception as e: return {"_err":str(e)}
g=load("/tmp/goals.json"); i=load("/tmp/issues.json"); d=load("/tmp/dash.json")
def arr(x,*keys):
if isinstance(x,list): return x
for k in keys:
if isinstance(x,dict) and isinstance(x.get(k),list): return x[k]
if isinstance(x,dict):
for v in x.values():
if isinstance(v,list): return v
return []
goals=arr(g,"goals","data","items"); issues=arr(i,"issues","data","items")
print("=== GOALS:",len(goals),"===")
for go in goals:
print(" -",go.get("level",go.get("type","")),"|",(go.get("title") or go.get("name") or "")[:80],"| status=",go.get("status",""))
print("=== ISSUES:",len(issues),"===")
from collections import Counter
byst=Counter();
for it in issues: byst[it.get("status",it.get("state",""))]+=1
print("by status:",dict(byst))
# group by assignee/owner
from collections import defaultdict
byass=defaultdict(list)
for it in issues:
a=it.get("assigneeName") or it.get("assignee") or it.get("ownerName") or it.get("owner") or "unassigned"
if isinstance(a,dict): a=a.get("name","?")
byass[a].append((it.get("identifier",it.get("id","?")), (it.get("title") or "")[:70], it.get("status",it.get("state",""))))
print("=== ISSUES BY OWNER (top owners) ===")
for a,lst in sorted(byass.items(), key=lambda x:-len(x[1]))[:20]:
print(f"-- {a} ({len(lst)})")
for ident,t,st in lst[:8]:
print(f" {ident} [{st}] {t}")
PY'sizes:
12965 /tmp/org.json
4520 /tmp/goals.json
436357 /tmp/issues.json
2160 /tmp/dash.json
456002 total
=== GOALS: 8 ===
- company | AINA Academy LIVE on one URL — website→onboarding→assessment→chat→video→audio, L | status= active
- team | Journey & Platform — the learner experience on the URL | status= active
- team | Curriculum & Learning Design | status= active
- team | Data, Vertex & Personalization | status= active
- team | QA & Verification | status= active
- team | Release & Platform Control | status= active
- team | Growth, Marketing & Media | status= active
- team | AgentOps & Factory Health | status= active
=== ISSUES: 154 ===
by status: {'done': 118, 'todo': 28, 'blocked': 2, 'cancelled': 6}
=== ISSUES BY OWNER (top owners) ===
-- unassigned (154)
AIN-145 [done] [board][P0] Jessica CEO-led Launch + GTM + investor-level business pla
AIN-135 [todo] [canon][P0] Finch: continuously mine PKM+transcripts to canon, route t
AIN-136 [done] [memory][P0] Org is the institutional memory: reconcile PKM wiki+proje
AIN-144 [todo] [governance][P0] Jessica CEO approval for department-head agent creati
AIN-143 [todo] [release][P0] PR bot-review watcher before merge
AIN-142 [todo] [qa][P0] Éowyn adversarial visual QA: break learner UI six ways
AIN-141 [todo] [roster][P0] PKM second-verifier receipts for build and verification
AIN-139 [todo] [media][P0] Enforce image/video generation boundary: Codex image-gen +The org has structure: 1 company goal ("AINA Academy LIVE on one URL") + 7 department goals (Journey & Platform, Curriculum, Data/Vertex/Personalization, QA & Verification, Release & Platform Control, Growth/Marketing/Media, AgentOps & Factory Health). 154 issues (118 done, 28 todo + 2 blocked = the open launch-readiness set). Let me extract those 30 open issues with full detail + their department/skill/blocker fields — that's the material the council needs:
cd /Users/Ali/PKM/scratch/pkm-deepdive
./vds-exec.sh run 'set +e
python3 - <<"PY"
import json
i=json.load(open("/tmp/issues.json"))
issues=i if isinstance(i,list) else i.get("issues",i.get("data",i.get("items",[])))
print("ISSUE KEYS:", list(issues[0].keys()) if issues else "none")
opens=[it for it in issues if it.get("status",it.get("state","")) in ("todo","blocked","in_progress","started")]
print("OPEN ISSUES:",len(opens))
for it in opens:
ident=it.get("identifier",it.get("id","?"))
st=it.get("status",it.get("state",""))
title=(it.get("title") or "")
labels=it.get("labels",it.get("tags",[]))
if labels and isinstance(labels[0],dict): labels=[l.get("name") for l in labels]
team=it.get("teamName") or it.get("team") or it.get("goalTitle") or it.get("goalId","")
if isinstance(team,dict): team=team.get("name","")
bl=it.get("blockedBy",it.get("blockers",[]))
asg=it.get("assigneeName") or it.get("assignee") or it.get("agentName") or it.get("agentId","")
if isinstance(asg,dict): asg=asg.get("name","")
desc=(it.get("description") or it.get("body") or "")[:140].replace("\n"," ")
print(f"\n[{st}] {ident} :: {title}")
print(f" team/goal={team} | assignee={asg} | labels={labels} | blockedBy={bl}")
if desc: print(f" desc: {desc}")
PY'ISSUE KEYS: ['id', 'companyId', 'projectId', 'projectWorkspaceId', 'goalId', 'parentId', 'title', 'description', 'status', 'workMode', 'priority', 'assigneeAgentId', 'assigneeUserId', 'checkoutRunId', 'executionRunId', 'executionAgentNameKey', 'executionLockedAt', 'createdByAgentId', 'createdByUserId', 'issueNumber', 'identifier', 'originKind', 'originId', 'originRunId', 'originFingerprint', 'requestDepth', 'billingCode', 'assigneeAdapterOverrides', 'executionPolicy', 'executionState', 'monitorNextCheckAt', 'monitorWakeRequestedAt', 'monitorLastTriggeredAt', 'monitorAttemptCount', 'monitorNotes', 'monitorScheduledBy', 'executionWorkspaceId', 'executionWorkspacePreference', 'executionWorkspaceSettings', 'sourceTrust', 'startedAt', 'completedAt', 'cancelledAt', 'hiddenAt', 'createdAt', 'updatedAt', 'labels', 'labelIds', 'activeRun', 'lastActivityAt', 'blockerAttention', 'successfulRunHandoff', 'activeRecoveryAction']
OPEN ISSUES: 30
[todo] AIN-135 :: [canon][P0] Finch: continuously mine PKM+transcripts to canon, route to agents
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: Standing Finch (Knowledge & Canon Steward) duty: proactively scan PKM+transcripts for all AINA canon (decisions, positioning, validated pers
[todo] AIN-144 :: [governance][P0] Jessica CEO approval for department-head agent creation
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists FACTORY-GUARDRAILS section A asks whether Paperclip requires board approval to create agents and says department heads ma
[todo] AIN-143 :: [release][P0] PR bot-review watcher before merge
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists FACTORY-GUARDRAILS section E requires monitoring Codex bot reviewer comments and other review bots on every PR the lanes
[todo] AIN-142 :: [qa][P0] Éowyn adversarial visual QA: break learner UI six ways
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists FACTORY-GUARDRAILS section A names Eowyn/Éowyn as the adversarial visual QA role. The live map had UX/user QA but not the
[todo] AIN-141 :: [roster][P0] PKM second-verifier receipts for build and verification
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists FACTORY-GUARDRAILS section A requires a PKM second-verifier that queries PKM during build and verification after the prim
[todo] AIN-139 :: [media][P0] Enforce image/video generation boundary: Codex image-gen + OpenMontage, no GCP media
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists Media routing exists (AIN-91, AIN-131), but today’s guardrails add a harder cross-lane boundary: GCP/Vertex is text, voic
[todo] AIN-138 :: [practice-arena][P0] Build durable learner playground: DO state, artifacts, full-run simulations
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists The strongest current proof is missionless journey/staging evidence, but the canon now calls for the practice arena as th
[todo] AIN-137 :: [memory][P0] Automate recurring institutional-memory sweep into Paperclip routing
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## Why this exists AIN-136 is the standing parent: the organization, not Ali, must remember. This child makes the recurring loop concrete so
[todo] AIN-79 :: ACAD-112 no-wake packet: Laurie evaluator leniency validation
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: ## No-wake routing packet from Donna triage tick — ACAD-112 Linear source: https://linear.app/ainative-academy/issue/ACAD-112/calibration-r
[blocked] AIN-91 :: [journey] Video lessons wired from media-engine
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** journey/media · **Owner (charter):** media-producer+builder · **Canon:** media-engine asset manifests; design system **ANMS s
[blocked] AIN-92 :: [journey] Audio / voice (TTS) in lessons
team/goal=None | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** journey/media · **Owner (charter):** media-producer+builder · **Canon:** media-engine; voice principles **ANMS spec (stable-t
[todo] AIN-134 :: [growth] 5-6 persona landing variants + A/B test (measure what lands)
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: 5-6 landing variants, one per ICP persona (positioning doc ICP spectrum), same doctrine / fresh per-persona angle; claims-governance (no pra
[todo] AIN-103 :: [marketing] Landing/positioning/launch copy from canon brand voice
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** marketing/growth · **Owner (charter):** Head of Growth+humanizer · **Canon:** aina-brand-voice-guide; positioning **ANMS spec
[todo] AIN-133 :: [chat] Spike + adopt Gemini Interactions API for the tutor (observable steps + server state)
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: Google Interactions API (GA Jun 2026): server-side multi-turn state (previous_interaction_id) + observable execution steps (thoughts/tool ca
[todo] AIN-97 :: [vertex] Vertex embeddings/personalization E2E into runtime
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** data/vertex · **Owner (charter):** Laurie(CDPO)+builder · **Canon:** Vertex E2E (Ali greenlit spend) **ANMS spec (stable-top
[todo] AIN-131 :: [media] Try open NotebookLM for video/audio overviews — route through media pipeline
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: Ali: try the open-source NotebookLM-style tool for generating video + audio overviews of lessons/content; route the output through the media
[todo] AIN-130 :: [mcp] MCP-first distribution — PRIORITY above mobile app
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: Ali: MCP is a priority, MORE than the mobile app. Per doctrine §14 (MCP-first sequencing; connectors gated to paid subscribers; platform ret
[todo] AIN-126 :: [data-gap] Classify pending DER validation receipt edits
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** data/DER · **Owner (charter):** Laurie + Beacon · **Verifier:** Dataset Steward · **Canon:** DER AGENTS; academy CANON-INDEX
[todo] AIN-125 :: [privacy-gap] Drain external telemetry deletion requests with receipts
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** data/telemetry + safety/privacy · **Owner (charter):** Benjamin + Laurie · **Verifier:** Argus/Root · **Canon:** FOUNDER-DEC
[todo] AIN-124 :: [journey-gap] Learner-visible placement rationale and skip-ahead policy
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** journey/platform · **Owner (charter):** Monica(Product)+Mesa assessment · **Verifier:** Eowyn · **Canon:** FOUNDER-DECISIONS
[todo] AIN-123 :: [journey-gap] Every selected lesson has a mission/tutor path
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** journey/platform · **Owner (charter):** Monica(Product)+Bridge/Forge builder · **Verifier:** Eowyn · **Canon:** CANON-INDEX;
[todo] AIN-105 :: [gherkin] Gherkin acceptance-criteria coverage for the journey + each lane
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** cross-cutting · **Owner (charter):** qa_automation_engineer(Eowyn)+dept heads · **Canon:** spec-driven approach **ANMS spec (
[todo] AIN-102 :: [mobile] Mobile harness scaffolding (Expo/EAS/TestFlight) — classification-first
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** mobile · **Owner (charter):** mobile_lead+builder · **Canon:** OS-Reference mobile (separate cycle) **ANMS spec (stable-top →
[todo] AIN-101 :: [platform] Cloudflare release control (deploy≠release, flags, preview-proof, rollout health)
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** platform/release · **Owner (charter):** release_marshal(Releaser) · **Canon:** VISION-CLOUDFLARE-OS; OS-Reference release lane
[todo] AIN-100 :: [qa] Test-coverage gap audit + fill (unit/integration per lane)
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** qa/verifier · **Owner (charter):** qa_automation_engineer(Eowyn) · **Canon:** test:launch (1200 tests) **ANMS spec (stable-to
[todo] AIN-98 :: [data] Telemetry events + privacy/consent (PostHog, DPA)
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** data/telemetry · **Owner (charter):** Laurie(CDPO)+security_reviewer · **Canon:** privacy-telemetry-subject-ids; DPA-CONSENT
[todo] AIN-96 :: [data] Personalization substrate pipeline → runtime
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** data · **Owner (charter):** Laurie(CDPO)+builder · **Canon:** static-spine-and-principles; data contracts **ANMS spec (stable
[todo] AIN-95 :: [curriculum] L1–L5 lesson + rubric + evaluator content coverage
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** curriculum · **Owner (charter):** curriculum_architect+evaluation_judge · **Canon:** curriculum council ruling 2026-06-18 **A
[todo] AIN-94 :: [curriculum] Universal Track / 500-module composer wiring
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** curriculum · **Owner (charter):** curriculum_architect+evaluation_judge · **Canon:** Universal Track + 500-module roadmap (ACA
[todo] AIN-93 :: [journey] Pricing & entitlement gate ($349 L1–L5; free-then-paid)
team/goal=737dba7f-e6e8-4a93-ac75-bff9cc58156f | assignee= | labels=[] | blockedBy=[]
desc: **Lane:** journey/platform · **Owner (charter):** Monica(Product)+builder · **Canon:** FOUNDER-DECISIONS (pricing locked $349) **ANMS sNow I have the full evidence base — the org has already annotated each open issue with Lane / Owner-charter / Verifier / Canon / ANMS-spec. That's a strong foundation. Let me capture it as the council's input doc, then run the multi-lens model council on it. Writing the evidence base:
# AINA launch-readiness evidence base (Paperclip org, 2026-06-29) ## Company goal **AINA Academy LIVE on one URL** — website → onboarding → assessment → chat → video → audio, L1–L5. (active) ## 7 department goals (= the departments + heads) 1. **Journey & Platform** — the learner experience on the URL (heads: Monica/Product, Jared, platform/release) 2. **Curriculum & Learning Design** — curriculum_architect + evaluation_judge 3. **Data, Vertex & Personalization** — Laurie (CDPO) + data/embeddings engineers 4. **QA & Verification** — Éowyn (adversarial visual QA) + qa_automation_engineer 5. **Release & Platform Control** — release_marshal (Releaser) 6. **Growth, Marketing & Media** — Head of Growth + media producers 7. **AgentOps & Factory Health** — Finch (canon/memory) + factory infra CEO = **Jessica**; CTO = **Richard**. ## 30 OPEN issues (28 todo + 2 blocked) — each already annotated with lane/owner/verifier/canon ### P0 directive issues (this-session founder directives, encoded) - **AIN-135** [canon][P0] Finch: continuously mine PKM+transcripts to canon, route to agents (AgentOps) - **AIN-144** [governance][P0] Jessica CEO approval for department-head agent creation (AgentOps/CEO) - **AIN-143** [release][P0] PR bot-review watcher before merge (Release) - **AIN-142** [qa][P0] Éowyn adversarial visual QA: break learner UI six ways (QA) - **AIN-141** [roster][P0] PKM second-verifier receipts for build and verification (AgentOps/QA) - **AIN-139** [media][P0] Enforce image/video generation boundary: Codex image-gen + OpenMontage, no GCP media (Growth/Media) - **AIN-138** [practice-arena][P0] Build durable learner playground: DO state, artifacts, full-run simulations (Journey) - **AIN-137** [memory][P0] Automate recurring institutional-memory sweep into Paperclip routing (AgentOps) ### Journey & Platform - **AIN-93** Pricing & entitlement gate ($349 L1–L5; free-then-paid) — owner Monica(Product)+builder · canon FOUNDER-DECISIONS - **AIN-123** Every selected lesson has a mission/tutor path — Monica+Bridge/Forge builder · verifier Eowyn - **AIN-124** Learner-visible placement rationale + skip-ahead policy — Monica+Mesa assessment · verifier Eowyn - **AIN-138** Practice-arena durable playground (DO state/artifacts/full-run sims) [P0] - **AIN-91** [BLOCKED] Video lessons wired from media-engine — media-producer+builder - **AIN-92** [BLOCKED] Audio/voice (TTS) in lessons — media-producer+builder - **AIN-133** [chat] Spike + adopt Gemini Interactions API for tutor (observable steps + server state) ### Curriculum & Learning Design - **AIN-95** L1–L5 lesson + rubric + evaluator content coverage — curriculum_architect+evaluation_judge - **AIN-94** Universal Track / 500-module composer wiring — curriculum_architect+evaluation_judge ### Data, Vertex & Personalization (Laurie/CDPO) - **AIN-96** Personalization substrate pipeline → runtime - **AIN-97** Vertex embeddings/personalization E2E into runtime - **AIN-98** Telemetry events + privacy/consent (PostHog, DPA) — Laurie+security_reviewer - **AIN-125** [privacy-gap] Drain external telemetry deletion requests with receipts — Benjamin+Laurie · verifier Argus/Root - **AIN-126** [data-gap] Classify pending DER validation receipt edits — Laurie+Beacon · verifier Dataset Steward ### QA & Verification (Éowyn) - **AIN-100** Test-coverage gap audit + fill (unit/integration per lane) - **AIN-105** Gherkin acceptance-criteria coverage for the journey + each lane - **AIN-142** Éowyn adversarial visual QA [P0] - **AIN-141** PKM second-verifier receipts [P0] ### Release & Platform Control - **AIN-101** Cloudflare release control (deploy≠release, flags, preview-proof, rollout health) — release_marshal - **AIN-143** PR bot-review watcher before merge [P0] ### Growth, Marketing & Media - **AIN-134** 5-6 persona landing variants + A/B test (DONE this session via PRs #106/#110) - **AIN-103** Landing/positioning/launch copy from canon brand voice — Head of Growth+humanizer - **AIN-131** Try open NotebookLM for video/audio overviews — media pipeline - **AIN-139** Image/video generation boundary [P0] ### AgentOps & Factory Health - **AIN-135** Finch canon mining [P0] · **AIN-137** institutional-memory sweep [P0] · **AIN-144** CEO approval gate [P0] - **AIN-130** [mcp] MCP-first distribution — PRIORITY above mobile app - **AIN-102** [mobile] Mobile harness scaffolding (Expo/EAS/TestFlight) — classification-first - **AIN-79** ACAD-112 no-wake packet: Laurie evaluator leniency validation ## Notes - Issues carry workMode, priority, assigneeAgentId, executionPolicy, monitor fields → the org already has a "train" substrate (intake→checkout→execution→handoff). - 118 issues already DONE; landing A/B (AIN-134) + bot-fixes shipped this session as PRs #106/#107/#109/#110 + MC#11. - Builder/verifier separation is already encoded per-issue (Owner-charter builder + named Verifier). Council should harden it into a pipeline with stage gates.
File created successfully at: /Users/Ali/PKM/scratch/pkm-deepdive/aina-launch-readiness-evidence.md (file state is current in your context — no need to Read it back)
The evidence base is captured. Now running the model council as a Sonnet workflow — 7 department analysts → council lenses (CEO/product, architecture/structure, scope/bounded-tasks, feasibility/sequencing, AgentOps/skill-mapping, builder-verifier) → synthesis into milestones + the issue "train" + the new-issue list. This honors the ce-plan lenses + council structure you asked for:
{
"script": "export const meta = {\n name: 'aina-launch-readiness-council',\n description: 'Multi-lens model council on AINA launch readiness: per-department bounded tasks/blockers/skill+lane/builder-verifier, council lenses, and synthesis into milestones + the issue train + new-issue list',\n phases: [\n { title: 'Departments', detail: '7 department analysts: bounded tasks, blockers, skill+lane mapping, builder/verifier, scoped goals, new issues' },\n { title: 'Lenses', detail: 'council lenses (ce-plan personas): CEO/product, architecture/train, scope/bounded, feasibility, AgentOps/skill-mapping, builder-verifier' },\n { title: 'Synthesis', detail: 'fuse → milestones, the issue train + stage gates, decisions-for-Ali, prioritized new-issue list' },\n ],\n}\n\nconst EVIDENCE_PATH = '/Users/Ali/PKM/scratch/pkm-deepdive/aina-launch-readiness-evidence.md'\n\nconst COMPANY_GOAL = 'AINA Academy LIVE on one URL — website → onboarding → assessment → chat → video → audio, L1–L5.'\n\nconst DEPTS = [\n { key: 'journey', name: 'Journey & Platform', heads: 'Monica(Product), Jared, platform/release', issues: 'AIN-93 pricing/entitlement gate ($349, free-then-paid); AIN-123 every selected lesson has a mission/tutor path; AIN-124 learner-visible placement rationale + skip-ahead; AIN-138[P0] practice-arena durable playground (DO state/artifacts/full-run sims); AIN-91[BLOCKED] video lessons from media-engine; AIN-92[BLOCKED] audio/TTS in lessons; AIN-133 Gemini Interactions API for tutor (observable steps+server state).' },\n { key: 'curriculum', name: 'Curriculum & Learning Design', heads: 'curriculum_architect + evaluation_judge', issues: 'AIN-95 L1–L5 lesson+rubric+evaluator content coverage; AIN-94 Universal Track / 500-module composer wiring.' },\n { key: 'data', name: 'Data, Vertex & Personalization', heads: 'Laurie(CDPO) + data/embeddings engineers', issues: 'AIN-96 personalization substrate pipeline→runtime; AIN-97 Vertex embeddings/personalization E2E into runtime; AIN-98 telemetry events + privacy/consent (PostHog, DPA); AIN-125 drain external telemetry deletion requests w/ receipts; AIN-126 classify pending DER validation receipt edits.' },\n { key: 'qa', name: 'QA & Verification', heads: 'Éowyn (adversarial visual QA) + qa_automation_engineer', issues: 'AIN-100 test-coverage gap audit+fill; AIN-105 Gherkin acceptance-criteria coverage per lane; AIN-142[P0] Éowyn adversarial visual QA (break UI 6 ways); AIN-141[P0] PKM second-verifier receipts for build+verification.' },\n { key: 'release', name: 'Release & Platform Control', heads: 'release_marshal (Releaser)', issues: 'AIN-101 Cloudflare release control (deploy≠release, flags, preview-proof, rollout health); AIN-143[P0] PR bot-review watcher before merge.' },\n { key: 'growth', name: 'Growth, Marketing & Media', heads: 'Head of Growth + media producers', issues: 'AIN-103 landing/positioning/launch copy from canon brand voice; AIN-131 open NotebookLM video/audio overviews via media pipeline; AIN-139[P0] enforce image/video gen boundary (Codex img-gen+OpenMontage, NO GCP media); (AIN-134 persona landing A/B already shipped this session as PRs #106/#110).' },\n { key: 'agentops', name: 'AgentOps & Factory Health', heads: 'Finch (canon/memory) + factory infra', issues: 'AIN-135[P0] Finch continuously mine PKM+transcripts to canon→route; AIN-137[P0] automate recurring institutional-memory sweep into Paperclip routing; AIN-144[P0] Jessica CEO approval for dept-head agent creation; AIN-130 MCP-first distribution (PRIORITY above mobile app); AIN-102 mobile harness scaffolding (Expo/EAS/TestFlight, classification-first); AIN-79 ACAD-112 Laurie evaluator-leniency validation.' },\n]\n\nconst DEPT_SCHEMA = {\n type: 'object', additionalProperties: false,\n required: ['department','scoped_goal','bounded_tasks','blockers','skill_lane_map','new_issues','readiness_verdict'],\n properties: {\n department: { type: 'string' },\n scoped_goal: { type: 'string', description: 'one crisp launch-readiness goal for this dept' },\n bounded_tasks: { type: 'array', items: { type: 'object', additionalProperties: false,\n required: ['title','lane','skills','builder','verifier','acceptance'],\n properties: { title:{type:'string'}, lane:{type:'string'}, skills:{type:'array',items:{type:'string'}}, builder:{type:'string'}, verifier:{type:'string'}, acceptance:{type:'string'}, depends_on:{type:'array',items:{type:'string'}} } } },\n blockers: { type: 'array', items: { type:'object', additionalProperties:false, required:['what','why','needs'], properties:{ what:{type:'string'}, why:{type:'string'}, needs:{type:'string'} } } },\n skill_lane_map: { type:'string', description:'which skills + lanes this dept needs; any skill gaps' },\n new_issues: { type: 'array', items: { type:'object', additionalProperties:false, required:['title','why'], properties:{ title:{type:'string'}, why:{type:'string'}, lane:{type:'string'}, builder:{type:'string'}, verifier:{type:'string'} } } },\n readiness_verdict: { type:'string', description:'is this dept launch-ready? what is the critical path?' },\n },\n}\n\nconst LENS_SCHEMA = {\n type:'object', additionalProperties:false, required:['lens','findings','recommendations','risks'],\n properties: { lens:{type:'string'}, findings:{type:'array',items:{type:'string'}}, recommendations:{type:'array',items:{type:'string'}}, risks:{type:'array',items:{type:'string'}} },\n}\n\nconst SYNTH_SCHEMA = {\n type:'object', additionalProperties:false,\n required:['milestones','issue_train','decisions_for_ali','new_issues','priorities_ranked','summary'],\n properties: {\n summary: { type:'string' },\n milestones: { type:'array', items:{ type:'object', additionalProperties:false, required:['name','target','gate_criteria','includes'], properties:{ name:{type:'string'}, target:{type:'string'}, gate_criteria:{type:'string'}, includes:{type:'array',items:{type:'string'}} } } },\n issue_train: { type:'object', additionalProperties:false, required:['stages'], properties:{ stages:{ type:'array', items:{ type:'object', additionalProperties:false, required:['stage','entry','exit','owner'], properties:{ stage:{type:'string'}, entry:{type:'string'}, exit:{type:'string'}, owner:{type:'string'} } } } } },\n decisions_for_ali: { type:'array', items:{ type:'object', additionalProperties:false, required:['decision','options','recommendation'], properties:{ decision:{type:'string'}, options:{type:'array',items:{type:'string'}}, recommendation:{type:'string'} } } },\n new_issues: { type:'array', items:{ type:'object', additionalProperties:false, required:['title','department','lane','builder','verifier','bounded_scope','priority','milestone'], properties:{ title:{type:'string'}, department:{type:'string'}, lane:{type:'string'}, skills:{type:'array',items:{type:'string'}}, builder:{type:'string'}, verifier:{type:'string'}, bounded_scope:{type:'string'}, priority:{type:'string'}, milestone:{type:'string'} } } },\n priorities_ranked: { type:'array', items:{type:'string'} },\n },\n}\n\nconst baseCtx = `You are a senior member of the AINA agent org doing launch-readiness planning. Read the full evidence base at ${EVIDENCE_PATH} (org goals, the 30 open issues each annotated with lane/owner/verifier/canon). COMPANY GOAL: ${COMPANY_GOAL}. Bounded tasks must be small + independently shippable; every task names a BUILDER and a DIFFERENT VERIFIER (builder never verifies own work); map each to skills + a lane. Be concrete and honest about blockers and skill gaps. Neutral, evidence-based — do not inflate readiness.`\n\nphase('Departments')\nconst deptResults = await parallel(DEPTS.map(d => () =>\n agent(`${baseCtx}\\n\\nDEPARTMENT: ${d.name} (heads: ${d.heads}).\\nThis department's open issues: ${d.issues}\\n\\nProduce for THIS department: a crisp scoped launch-readiness goal; the bounded tasks (each with lane, skills, builder, verifier, acceptance, depends_on) needed to make it launch-ready; the blockers (what/why/needs); the skill+lane map and any skill gaps; the NEW issues the department head would create that aren't yet open; and a readiness verdict + critical path.`,\n { schema: DEPT_SCHEMA, phase: 'Departments', model: 'sonnet', label: `dept:${d.key}` })\n)).then(r => r.filter(Boolean))\n\nconst deptDigest = deptResults.map(d => `### ${d.department}\\nGoal: ${d.scoped_goal}\\nVerdict: ${d.readiness_verdict}\\nBlockers: ${(d.blockers||[]).map(b=>b.what).join('; ')}\\nNew issues: ${(d.new_issues||[]).map(n=>n.title).join('; ')}`).join('\\n\\n')\n\nphase('Lenses')\nconst LENSES = [\n { key:'ceo-product', at:'ce-product-lens-reviewer', p:'CEO / product launch-readiness lens (Jessica). Challenge premise: is the one-URL launch goal actually served by these tasks? What is the true critical path to a credible launch, what is scope creep, what must Jessica decide? Prioritize ruthlessly toward the company goal.' },\n { key:'architecture-train', at:'ce-architecture-strategist', p:'Structure / pipeline-architecture lens. Design the issue \"train\": the stages an issue moves through (intake → bounded → skill/lane-mapped → builder → verifier → release/merge → done), the entry/exit criteria + gates at each stage, and how the 7 departments + builder/verifier separation map onto it. Note where the current org substrate (workMode/executionPolicy/monitor/handoff fields) already supports this.' },\n { key:'scope-bounded', at:'ce-scope-guardian-reviewer', p:'Bounded-tasks / scope lens. Are the tasks small + independently shippable + within the launch goal? Flag any task that is too big (needs splitting), unbounded, or out-of-scope for launch. Enforce YAGNI.' },\n { key:'feasibility', at:'ce-feasibility-reviewer', p:'Feasibility / sequencing lens. Will these survive contact with reality? Dependency order, the 2 blocked issues (AIN-91/92 media), Vertex/Gemini constraints, what realistically gates launch vs what is post-launch.' },\n { key:'agentops-skills', p:'AgentOps / skill-mapping / expanding-agents lens. Map the work to skills + lanes; identify skill gaps and whether to ADD agents or extend existing ones (note: AIN-144 = CEO approval gate for new agents). Right-size models per task. Keep local fanout small; heavy parallel → VDS.' },\n { key:'builder-verifier', p:'Builder/verifier-separation lens. Harden the rule: every issue has a builder + a DIFFERENT verifier; the lead owns consequential actions; PKM second-verifier (AIN-141) + Éowyn adversarial visual QA (AIN-142) + PR bot-watcher (AIN-143) are the verification spine. Define the verification criteria each issue must pass before \"done\".' },\n]\nconst lensResults = await parallel(LENSES.map(l => () =>\n agent(`${baseCtx}\\n\\nLENS: ${l.p}\\n\\nDepartment analyses to react to:\\n${deptDigest}\\n\\nGive findings, concrete recommendations, and risks for the WHOLE launch-readiness picture through this lens.`,\n { schema: LENS_SCHEMA, phase: 'Lenses', model: 'sonnet', label: `lens:${l.key}`, ...(l.at ? { agentType: l.at } : {}) })\n)).then(r => r.filter(Boolean))\n\nphase('Synthesis')\nconst synthesis = await agent(\n `${baseCtx}\\n\\nYou are the synthesizer. Fuse the department analyses and the council lenses into a launch-readiness plan.\\n\\nDEPARTMENTS (full JSON):\\n${JSON.stringify(deptResults).slice(0,16000)}\\n\\nLENSES (full JSON):\\n${JSON.stringify(lensResults).slice(0,12000)}\\n\\nProduce: (1) MILESTONES to target — name, target, gate_criteria, and which issues/tasks each includes (sequence them toward the one-URL launch + post-launch); (2) the ISSUE TRAIN — ordered stages with entry/exit criteria + owner per stage; (3) DECISIONS_FOR_ALI — the things only the founder should decide (with options + your recommendation); (4) the consolidated NEW_ISSUES list the department heads should create (each: title, department, lane, skills, builder, verifier, bounded_scope, priority, milestone) — dedupe against the 30 already-open issues, only genuinely new/!missing ones; (5) priorities_ranked — the launch critical path in order; (6) a short summary. Be decisive.`,\n { schema: SYNTH_SCHEMA, phase: 'Synthesis', model: 'sonnet', effort: 'high', label: 'synthesis' }\n)\n\nreturn { departments: deptResults, lenses: lensResults, synthesis }\n"
}Workflow launched in background. Task ID: w5huih3lg
Summary: Multi-lens model council on AINA launch readiness: per-department bounded tasks/blockers/skill+lane/builder-verifier, council lenses, and synthesis into milestones + the issue train + new-issue list
Transcript dir: /Users/Ali/.claude/projects/-Users-Ali-PKM/ea21dc9e-a684-460b-b5d8-244fa739715e/subagents/workflows/wf_1afba5e9-e8f
Script file: /Users/Ali/.claude/projects/-Users-Ali-PKM-scratch-pkm-deepdive/ea21dc9e-a684-460b-b5d8-244fa739715e/workflows/scripts/aina-launch-readiness-council-wf_1afba5e9-e8f.js
(Edit this file with Write/Edit and re-invoke Workflow with {scriptPath: "/Users/Ali/.claude/projects/-Users-Ali-PKM-scratch-pkm-deepdive/ea21dc9e-a684-460b-b5d8-244fa739715e/workflows/scripts/aina-launch-readiness-council-wf_1afba5e9-e8f.js"} to iterate without resending the script.)
Run ID: wf_1afba5e9-e8f
To resume after editing the script: Workflow({scriptPath: "/Users/Ali/.claude/projects/-Users-Ali-PKM-scratch-pkm-deepdive/ea21dc9e-a684-460b-b5d8-244fa739715e/workflows/scripts/aina-launch-readiness-council-wf_1afba5e9-e8f.js", resumeFromRunId: "wf_1afba5e9-e8f"}) — completed agents return cached results.
You will be notified when it completes. Use /workflows to watch live progress.The model council is running as a background workflow (w5huih3lg) — 7 department analysts → 6 council lenses (the ce-plan personas: product/CEO, architecture-for-the-train, scope/bounded-tasks, feasibility, AgentOps/skill-mapping, builder-verifier) → a synthesis pass. It'll return:
What I've already pulled and fed it: the company goal (one-URL launch), the 7 department goals, and all 30 open issues (28 todo + 2 blocked) — each already annotated by the org with lane/owner/verifier/canon, so the builder/verifier separation is real data, not invented.
When it lands I'll bring you the milestones + train + your decisions, then have codex create the dept-head issues (the ones they've flagged) per the bounded-task/lane/skill/builder-verifier mapping — that's the "let them create those issues" step. Go do your parallel things; I'll surface the decision-ready plan. The other lanes (growth-B, the 5 review-ready PRs) keep running in the background.
Council complete (14 agents). Extracting the synthesis — milestones, the issue train, decisions for you, and the new-issue list — plus the cross-department blockers:
cd /private/tmp/claude-502/-Users-Ali-PKM/ea21dc9e-a684-460b-b5d8-244fa739715e/tasks
python3 - <<'PY'
import json
d=json.load(open('w5huih3lg.output'))
r=d['result']; s=r.get('synthesis',{})
print("KEYS:", list(r.keys()), "| synth keys:", list(s.keys()))
print("\n===== SUMMARY =====\n", s.get('summary',''))
print("\n===== MILESTONES =====")
for m in s.get('milestones',[]):
print(f"\n• {m.get('name')} — target: {m.get('target')}")
print(f" gate: {m.get('gate_criteria')}")
inc=m.get('includes',[]); print(f" includes ({len(inc)}): {', '.join(inc[:12])}")
print("\n===== ISSUE TRAIN (stages) =====")
for st in s.get('issue_train',{}).get('stages',[]):
print(f"\n[{st.get('stage')}] owner={st.get('owner')}")
print(f" entry: {st.get('entry')}")
print(f" exit: {st.get('exit')}")
print("\n===== DECISIONS FOR ALI =====")
for i,dec in enumerate(s.get('decisions_for_ali',[]),1):
print(f"\n{i}. {dec.get('decision')}")
print(f" options: {dec.get('options')}")
print(f" → rec: {dec.get('recommendation')}")
print("\n===== PRIORITIES RANKED =====")
for i,p in enumerate(s.get('priorities_ranked',[]),1): print(f"{i}. {p}")
print("\n===== NEW ISSUES:", len(s.get('new_issues',[])), "=====")
for n in s.get('new_issues',[]):
print(f"- [{n.get('priority')}] {n.get('title')} | dept={n.get('department')} lane={n.get('lane')} builder={n.get('builder')} verifier={n.get('verifier')} ms={n.get('milestone')}")
PYKEYS: ['departments', 'lenses', 'synthesis'] | synth keys: ['milestones', 'issue_train', 'decisions_for_ali', 'new_issues', 'priorities_ranked', 'summary'] ===== SUMMARY ===== The org is NOT launch-ready. The evidence base shows 30 open issues across 7 departments with no shared critical path, ambiguous launch scope, and three human founder decisions that are blocking the entire agent org from starting. Here is the honest picture. The single highest-leverage unblocked action in the org costs Jessica 30 minutes: AIN-144 CEO approval to activate the agent roster. Nothing downstream of agent org activation can be started by chartered agents until it clears. This is the only blocker that requires a human decision and costs zero engineering effort. Three scope decisions must be made in the next 24–48 hours or every department plan is built on a misaligned brief: (1) Is launch-v1 the text/chat/assessment loop with video and audio explicitly deferred, or is it blocked on media-engine? Every department has already implicitly assumed media is deferred — the company goal doc has not caught up. (2) Is 500 modules a hard day-one launch requirement or a scale target? This single unresolved question is the largest time risk in the org — if 500 is a hard requirement, the launch date is undefined. (3) What is the QA launch bar? QA cannot produce a go/no-go verdict without a defined coverage floor and adversarial-pass threshold. Both questions are CEO-level product risk decisions disguised as QA and Curriculum tasks. The critical path through the org runs: AIN-144 (CEO approval) → AIN-143 (PR bot watcher, release infrastructure live) → AIN-95 (L1–L5 lesson content, Curriculum) → AIN-123 (lesson wiring, Journey — blocked on Curriculum) → AIN-NEW-JP-3 (E2E smoke test) → M7 go/no-go. The cross-department dependency between AIN-95 (Curriculum) and AIN-123 (Journey) is the most dangerous single schedule risk in the org: it has no joint owner, no shared deadline, and no escalation trigger. A named joint owner and a written dependency contract must exist before Curriculum begins authoring so Journey knows when to expect the handoff. Three legal/infrastructure prerequisites are human actions that no agent can close: Stripe account provisioning (Ali/Richard), DPA + PostHog data-processing agreement (Ali/Laurie — a legal gate before any paid learner is admitted, not an engineering feature), and Gemini Interactions API quota confirmation (Ali GCP action before the tutor spike is dispatched). The release infrastructure (AIN-143 PR bot, AIN-101 CF flag deploy) is entirely unstarted and is a systemic multiplier — without it, broken code from any of the six other departments can land silently. AIN-143-A is a 1–2 hour task that should be the first build dispatched after AIN-144 clears. The Growth department shipped the org's first deliverable this session (AIN-134 persona landing variants, PRs #106/#110). Those PRs should not merge until Finch completes a single canon-voice check against positioning-canon doctrine v3.2 — a bounded 2-hour action that closes the brand-drift risk before the Academy URL goes live. Launch-v1 resolves to five verifiable gates: (A) Core learner loop E2E verified — Éowyn smoke test pass receipt. (B) Legal prerequisites clear — DPA signed, consent UI live, Stripe provisioned. (C) Release infrastructure live — PR bot active, CF flag deploy pipeline live, rollback runbook published. (D) QA launch bar met — coverage floor and adversarial threshold satisfied per Jessica's definition. (E) Canon-voice landing copy live on staging, Finch-verified. When all five are green, Jessica calls launch. Video, audio, personalization substrate, Vertex embeddings, and mobile harness are Phase 2. ===== MILESTONES ===== • M0 — Org Activation — target: Day 1 (2026-06-30) gate: AIN-144 CEO approval signed; AIN-143-A PR bot watcher live; AIN-141 second-verifier receipt schema merged; release_marshal confirmed active. No agent build work proceeds until this gate is green. includes (9): AIN-144 (CEO approval gate), AIN-143-A (PR bot watcher scaffold), AIN-141 (PKM second-verifier receipts schema), AIN-NEW-ORG-1 (Gemini Interactions API quota confirmation — Ali GCP action), AIN-NEW-ORG-2 (DPA + PostHog data-processing agreement — Ali/Laurie legal action), AIN-NEW-ORG-3 (Stripe account provisioning confirmation — Ali/Richard), AIN-NEW-PROD-1 (Launch-v1 scope decision: text/chat/assessment loop vs. media-gated — Jessica decision), AIN-NEW-PROD-2 (500-module vs. minimum viable corpus decision — Jessica 48h decision), AIN-NEW-PROD-3 (QA launch bar definition: coverage floor + adversarial-pass threshold — Jessica decision) • M1 — Release Infrastructure Live — target: Day 2 (2026-07-01) gate: AIN-143 PR bot watcher fully operational with automated review checks on every PR. AIN-101 Cloudflare flag-controlled deploy pipeline live with documented rollback runbook. AIN-143-B (monitoring + alerting on watcher health) green. No PR from any department is merge-ready without bot receipt. includes (3): AIN-143 (PR bot watcher — both sub-tasks), AIN-101 (Cloudflare release control: deploy != release, flags, preview-proof, rollout health), AIN-NEW-REL-1 (Rollback runbook doc) • M2 — Content Baseline + Platform Scaffolds — target: Days 3–7 (2026-07-02 to 2026-07-06) gate: AIN-95-A coverage matrix committed (no assumed-complete rows). AIN-138-A DO scaffolding live with 10-concurrent load test passing. AIN-NEW-JP-1 Stripe scaffold confirmed with test-mode key. AIN-135 Finch canon mining running. AIN-137 institutional-memory sweep automated. These are parallel independent tracks — all three must clear before M3 opens. includes (7): AIN-95-A (L1-L5 curriculum audit + coverage matrix), AIN-138-A (Durable Object scaffolding + state persistence), AIN-NEW-JP-1 (Stripe account + CF Worker integration scaffold), AIN-135 (Finch canon mining automated), AIN-137 (institutional memory sweep automated), AIN-94-A (Universal Track composer contract doc), AIN-100 (test-coverage gap audit) • M3 — Core Learner Loop: Platform + Content — target: Days 8–16 (2026-07-07 to 2026-07-15) gate: L1–L2 lesson content verified (AIN-95-B). Entitlement gate + middleware live (AIN-93-A, AIN-93-B). Arena UI functional under Éowyn six-way break test (AIN-138-B). Gemini Interactions API spike result documented (AIN-133-A — go/no-go). Placement rationale UI live (AIN-124-A). Evaluator agents wired for L1–L2 (AIN-95-D partial). All tasks in this milestone require M2 gate to be green first. includes (8): AIN-95-B (Author missing L1–L2 lessons + rubrics), AIN-93-A (Stripe $349 checkout + entitlement flag), AIN-93-B (Entitlement enforcement in middleware), AIN-138-B (Practice arena UI — editor, run, artifact panel, sim runner), AIN-133-A (Gemini Interactions API spike — quota must be confirmed from M0), AIN-124-A (Placement rationale UI + skip-ahead gate), AIN-105 (Gherkin acceptance criteria coverage for journey lanes), AIN-139 (Image/video generation boundary enforcement) • M4 — Full L1–L5 Content + Legal Prerequisites — target: Days 17–28 (2026-07-16 to 2026-07-27) gate: L3–L5 lessons + rubrics filed (AIN-95-C). All evaluator agents wired and adversarially tested (AIN-95-D, AIN-95-E). DPA signed and consent UI live (AIN-98, AIN-125 — legal gate from M0 must be complete). Privacy/consent layer active before any paid learner is admitted. Canon-voice check on AIN-134 PRs complete (Finch pass). Composer MVP resolves a test learner profile end-to-end (AIN-94-B). includes (10): AIN-95-C (Author missing L3–L5 lessons + rubrics), AIN-95-D (Wire evaluator agents to rubrics — all five levels), AIN-95-E (Adversarial QA on evaluator scoring), AIN-98 (Telemetry events + privacy/consent — PostHog DPA gate), AIN-125 (Drain external telemetry deletion requests with receipts), AIN-126 (Classify pending DER validation receipt edits), AIN-94-B (Universal Track composer MVP — resolves learner path E2E), AIN-103 (Landing/positioning/launch copy — Finch canon-voice verified), AIN-NEW-JP-4 (Video + audio lesson slot spec — so Journey can build the shell now), AIN-NEW-GROWTH-1 (Finch canon-voice review of AIN-134 PRs #106/#110 before merge) • M5 — Lesson Wiring + Tutor Integration — target: Days 22–32 (2026-07-21 to 2026-07-31) gate: Every L1–L5 lesson node wired to mission card + tutor path (AIN-123-A — depends on AIN-95-C from M4). Gemini Interactions API promoted to production tutor if spike passed (AIN-133-B — depends on AIN-133-A from M3 + quota confirmation from M0). Composer integrated with Journey platform — lesson cards resolve from composer output (AIN-94-C). Backup verifier designated so Éowyn oversubscription does not block the pipeline (AIN-NEW-JP-2). Parallel: Growth landing copy live on staging. includes (5): AIN-123-A (Wire every lesson node to mission card + tutor path), AIN-133-B (Promote Gemini Interactions API to production tutor — if spike passes), AIN-94-C (Integration test composer with Journey platform), AIN-NEW-JP-2 (Backup verifier designation for Journey tasks), AIN-142 (Éowyn adversarial visual QA — full six-way break) • M6 — QA Launch Bar + End-to-End Verification — target: Days 30–38 (2026-07-29 to 2026-08-06) gate: QA launch bar (coverage floor + adversarial-pass threshold defined in M0-Jessica-decision) is met. AIN-NEW-JP-3 end-to-end smoke test passes (onboarding → assessment → lesson → arena → payment gate), verified by Jared. AIN-100 coverage gap filled to defined floor. AgentOps receipts pipeline (AIN-141) producing auditable second-verifier receipts for all M3–M5 tasks. MCP-first distribution strategy confirmed (AIN-130 go/no-go decision). includes (5): AIN-NEW-JP-3 (End-to-end learner journey smoke test), AIN-100 (Test-coverage gap fill to defined floor), AIN-141 (PKM second-verifier receipts — pipeline producing live receipts), AIN-130 (MCP-first distribution — classify + decision), AIN-NEW-QA-1 (QA launch bar verification report) • M7 — Launch Go/No-Go Gate — target: Day 40 (2026-08-08) gate: Five launch gates all green: (A) Core learner loop E2E verified — Éowyn smoke test pass receipt exists. (B) Legal prerequisites clear — DPA signed, consent UI live, Stripe provisioned with idempotent webhook. (C) Release infrastructure live — PR bot active, CF flag deploy pipeline live, rollback runbook published. (D) QA launch bar met — coverage floor + adversarial threshold both satisfied per Jessica's M0 definition. (E) Canon-voice landing copy live on staging URL, Finch-verified. Jessica signs go/no-go. AIN-91 and AIN-92 (video/audio) explicitly deferred to post-launch Phase 2. includes (7): Jessica go/no-go sign-off, Five-gate green board, AIN-91 (video) — explicitly deferred to Phase 2, AIN-92 (audio) — explicitly deferred to Phase 2, AIN-96 (personalization substrate) — explicitly deferred to Phase 2, AIN-97 (Vertex embeddings) — explicitly deferred to Phase 2, AIN-102 (mobile harness) — deferred to Phase 2 • M8 — Phase 2: Media + Personalization — target: Post-launch (TBD after M7 green) gate: Media-engine delivers at minimum one rendered video asset + one TTS audio asset in agreed CDN URL format. Personalization substrate pipeline to runtime (AIN-96) operational. Vertex embeddings E2E (AIN-97) operational. Mobile harness scaffolded (AIN-102). AIN-131 NotebookLM trial result documented. includes (7): AIN-91 (video lessons wired from media-engine), AIN-92 (audio/voice TTS in lessons), AIN-96 (personalization substrate pipeline to runtime), AIN-97 (Vertex embeddings/personalization E2E), AIN-131 (NotebookLM trial for video/audio overviews), AIN-102 (mobile harness scaffolding), AIN-79 (ACAD-112 no-wake packet: Laurie evaluator leniency validation) ===== ISSUE TRAIN (stages) ===== [Intake] owner=AgentOps (Finch — validates schema and builder/verifier separation) entry: Issue exists in the evidence base or is newly created by a department head. Title, department, lane, priority, and bounded scope are present. exit: Builder and verifier assigned (different people). Issue mapped to a milestone. Depends-on list confirmed. Issue cannot enter Checkout until builder != verifier is explicit. [Checkout] owner=release_marshal (enforces depends-on gate; blocks checkout if upstream is open or decision is unresolved) entry: Issue passes Intake. All upstream depends-on issues are in state Done or explicitly deferred with a documented bypass reason. exit: Builder has pulled the issue, confirmed scope is still accurate against current repo state, and posted a start receipt in the issue thread. Any prerequisite human decisions (Stripe account, quota, DPA) are confirmed as resolved before Checkout is allowed. [Execution] owner=Builder (lane agent). release_marshal monitors for branches that are stale > 2 days. entry: Builder has posted a start receipt. Work is in progress on a named branch. exit: (1) PR opened. (2) AIN-143 PR bot review check passes (no merge before bot receipt). (3) Builder posts a completion note with the PR link. Execution gate: no self-verification — builder cannot be the verifier. [Verification] owner=Named verifier per issue. Éowyn for visual/adversarial tasks. Jared for platform smoke tests. Finch for canon-voice checks. entry: PR is open and bot review check has passed. Verifier is notified via issue thread. exit: (1) Verifier runs acceptance criteria against staging (not local). (2) Verifier posts a PKM second-verifier receipt (AIN-141 schema). (3) Receipt is committed to the issue thread. For adversarial tasks (Éowyn): receipt must include break-attempt log. Verifier cannot be the builder. [Merge-Gate] owner=release_marshal (AIN-101 flag-controlled pipeline enforces this) entry: Verification receipt exists. No open review threads from the PR bot. exit: release_marshal confirms: (1) PR is up to date with main, (2) no unexplained changes outside the task's bounded scope, (3) all checks green, (4) second-verifier receipt is committed. Then merge is authorized. release_marshal is the sole merge authority — no self-merge by the builder. [Done / Landed] owner=AgentOps (Finch confirms PKM receipt); release_marshal confirms no orphan branches entry: PR merged to main. Branch deleted. No orphan state. exit: (1) Issue state updated to Done in Linear. (2) PKM memory updated (Finch sweeps this via AIN-135/AIN-137). (3) Handoff note posted if the issue has downstream dependents. (4) Milestone gate re-evaluated — if all issues in a milestone are Done, milestone is declared green. ===== DECISIONS FOR ALI ===== 1. Launch-v1 scope: text/chat/assessment loop only vs. media-gated launch options: ['Option A (RECOMMENDED): Launch-v1 is the text/chat/assessment/payment loop. Video (AIN-91) and audio (AIN-92) are explicitly deferred to Phase 2 (M8). Company goal doc is updated to reflect this. Every department plans against the text-only scope immediately.', 'Option B: Launch is blocked until media-engine delivers at least one video asset and one TTS audio asset. Estimate: adds 4–8 weeks to timeline with no committed delivery date from the media-engine dependency.', "Option C: Soft gate — launch the text loop but hold the URL 'in preview' until media lands. Risks: preview framing dilutes first-impression quality; unclear when to flip to 'real launch'."] → rec: Option A. No media-engine deliverable exists and both AIN-91 and AIN-92 are explicitly blocked with no unblocking action in-flight. The text/chat/assessment loop is a complete, testable learner experience. Ship it. Update the company goal doc today so every department plans against the same scope. 2. 500-module Universal Track scope: hard day-one launch requirement vs. scale target options: ["Option A (RECOMMENDED): 500 modules is a post-launch scale target. Launch-v1 requires only that the composer can resolve all authored L1–L5 lessons in the verified corpus (however many that is after AIN-95 completes). AIN-94 scope collapses to 'composer resolves authored lessons end-to-end.'", 'Option B: 500 modules is a hard launch requirement. This dwarfs every other open issue in raw authoring effort, has no coverage baseline, and no velocity data. It almost certainly makes every other milestone slip regardless of engineering execution speed.', 'Option C: Commit to a specific smaller number (e.g., 50 modules across all five levels) as a launch milestone, with 500 as the 90-day target.'] → rec: Option A. The 500-module figure appears to be a scale vision, not a day-one launch contract. Curriculum needs this in writing within 48 hours to scope AIN-94 and AIN-95 correctly. Without it, curriculum_architect cannot plan authoring velocity and will default to treating 500 as a hard requirement — which makes the launch date effectively undefined. 3. QA launch bar: what coverage floor + adversarial-pass threshold triggers go/no-go options: ['Option A (RECOMMENDED): Define a concrete bar now — e.g., 60% line coverage across critical path files, 78% branch coverage on exercised paths (current baseline), zero adversarial-pass regressions on evaluator scoring, and Éowyn E2E smoke test pass receipt. Adjustable upward after M6 evidence is in.', 'Option B: Run QA through M6 and let the evidence determine the bar. Risk: QA cannot produce a verdict without a defined threshold — the evidence is meaningless without a pass/fail line. Launch go/no-go becomes subjective.', 'Option C: Treat the current 24.2% line coverage as acceptable for launch. This is honest about the risk but sets a very low bar for a first paid-learner product.'] → rec: Option A. Define the bar now, even if it is adjusted later. The QA department correctly flagged this as a CEO-level decision. Current line coverage (24.2%) against no stated floor is unauditable. A concrete threshold — even a modest one — converts QA output from evidence into a verdict. Jessica should post this number within 24 hours so AIN-100 and AIN-105 have a target. 4. Gemini Interactions API quota confirmation for AIN-133 (Ali GCP action) options: ['Option A (RECOMMENDED): Ali confirms Vertex/Gemini quota headroom for interactive API usage at expected concurrent learner load (estimate: 50–100 concurrent sessions at launch) before AIN-133-A begins. If quota is insufficient, AIN-133-A spike is deferred and the current tutor stays in production for launch.', 'Option B: Begin AIN-133-A spike without quota confirmation and treat a 429 response as a go/no-go signal during the spike. Risk: if quota is exhausted in staging, the spike cannot produce meaningful results and the Gemini Interactions API cannot be promoted.', 'Option C: Defer AIN-133 entirely to Phase 2 and launch with the current tutor implementation.'] → rec: Option A. This is an Ali GCP action, not an agent task. It costs 10 minutes to check quota in the GCP console. A tutor that 429s silently at concurrent load is worse for first-impression launch than the current implementation. Confirm or deny before AIN-133-A is dispatched. If quota is not confirmable within 48 hours, default to Option C. 5. DPA + PostHog data-processing agreement (Ali/Laurie legal action) options: ['Option A (RECOMMENDED): Assign DPA completion to Ali (founder signatory) with Laurie executing the PostHog DPA documentation and consent UI (AIN-98). Set a hard deadline of M4 gate — no paid learner is admitted until the DPA is signed and the consent layer is live.', 'Option B: Treat DPA as a post-launch legal formality and admit paid learners before it is complete. Risk: legal exposure for processing EU/UK learner data without a compliant agreement. This is not a product tradeoff — it is a legal prerequisite.', 'Option C: Block launch until DPA is complete regardless of engineering readiness.'] → rec: Option A. The DPA is a legal gate, not an engineering task. Separating it from the engineering work (AIN-96/AIN-97 personalization features) and assigning it to Ali + Laurie with a clear M4 deadline is the correct framing. Option B is not a viable business decision for any paying customer. Option C is already embedded in Option A — the M4 gate enforces it. 6. AIN-134 persona landing PRs (#106/#110): merge now vs. Finch canon-voice check first options: ['Option A (RECOMMENDED): Hold merge of PRs #106/#110 until Finch completes a single canon-voice review pass against positioning-canon doctrine v3.2. This is a 1-agent-pass task, bounded to < 2 hours. Merge immediately after pass receipt.', 'Option B: Merge now. Accept the risk that landing copy may drift from doctrine v3.2. Revisit copy quality in M4 as part of AIN-103 canon copy work.', 'Option C: Revert the PRs and re-author from scratch after AIN-103 canon copy work completes.'] → rec: Option A. The PRs are already open and close to merge-ready. A Finch canon-voice check is the smallest possible action that closes the brand-drift risk. Option C is unnecessary rework. The org shipped its first Growth deliverable this session — protect it with a fast verification pass, not a rollback. ===== PRIORITIES RANKED ===== 1. 1. AIN-144 — CEO approval gate (Jessica, 30 min, unblocks the entire agent org; nothing downstream starts without it) 2. 2. AIN-NEW-PROD-1 — Launch-v1 scope decision: text loop vs. media-gated (Jessica, 30 min, resolves department planning ambiguity today) 3. 3. AIN-NEW-PROD-2 — 500-module vs. minimum viable corpus decision (Jessica, 48h, gates Curriculum's entire AIN-94/AIN-95 scope) 4. 4. AIN-NEW-PROD-3 — QA launch bar definition: coverage floor + adversarial-pass threshold (Jessica, 24h, without this QA cannot produce a go/no-go verdict) 5. 5. AIN-143-A — PR bot watcher scaffold (release_marshal, 1–2h after AIN-144, makes every other department's output trustworthy) 6. 6. AIN-NEW-ORG-1 — Vertex/Gemini Interactions API quota confirmation (Ali GCP action, 10 min, gates AIN-133-A dispatch) 7. 7. AIN-NEW-ORG-2 — DPA + PostHog data-processing agreement (Ali/Laurie, legal gate, must close before any paid learner is admitted) 8. 8. AIN-NEW-ORG-3 — Stripe account + CF Worker scaffold (Forge, < 4h, gates AIN-93-A pricing work) 9. 9. AIN-NEW-CUR-1 — Joint owner + shared deadline for AIN-95 → AIN-123 cross-department dependency (Monica/Richard, < 1h to draft, prevents the single most dangerous schedule miss) 10. 10. AIN-138-A — Durable Object scaffolding + state persistence (Forge, unblocked, can run in parallel with Stripe scaffold in M2) 11. 11. AIN-95-A — L1–L5 curriculum audit + coverage matrix (curriculum_architect, unblocked, must start before authoring can be scoped) 12. 12. AIN-94-A — Universal Track composer contract doc (curriculum_architect, unblocked, parallel with AIN-95-A) 13. 13. AIN-101 — Cloudflare release control: deploy != release, flags, preview-proof (release_marshal, after AIN-143-A) 14. 14. AIN-135 — Finch canon mining automated (unblocked after AIN-144) 15. 15. AIN-137 — Institutional memory sweep automated (unblocked after AIN-144) 16. 16. AIN-NEW-GROWTH-1 — Finch canon-voice review of PRs #106/#110 (Finch, < 2h, should be a merge prerequisite before those PRs land) 17. 17. AIN-93-A — Stripe $349 checkout + entitlement flag (Forge, after AIN-NEW-ORG-3) 18. 18. AIN-138-B — Practice arena UI (Bridge, after AIN-138-A) 19. 19. AIN-95-B — Author L1–L2 lessons + rubrics (curriculum_architect, after AIN-95-A, parallel with AIN-93-A) 20. 20. AIN-124-A — Placement rationale UI (Mesa, after AIN-93-A) 21. 21. AIN-133-A — Gemini Interactions API spike (Forge, after quota confirmed, M3) 22. 22. AIN-93-B — Entitlement enforcement in middleware (Forge, after AIN-93-A) 23. 23. AIN-95-C — Author L3–L5 lessons + rubrics (curriculum_architect, after AIN-95-B) 24. 24. AIN-98 + AIN-125 — Privacy/consent layer + DPA legal gate (Laurie, M4) 25. 25. AIN-94-B — Universal Track composer MVP (curriculum_architect, after AIN-94-A + AIN-95-C) 26. 26. AIN-103 — Canon launch copy (Head of Growth + Finch, M4) 27. 27. AIN-95-D — Wire evaluator agents to rubrics (evaluation_judge, after AIN-95-C) 28. 28. AIN-95-E — Adversarial QA on evaluators (Éowyn, after AIN-95-D) 29. 29. AIN-123-A — Wire every lesson to mission card + tutor path (Bridge, after AIN-95-C — the most schedule-critical cross-dept dependency) 30. 30. AIN-133-B — Promote Gemini Interactions to production tutor (Forge, after AIN-133-A spike passes) 31. 31. AIN-94-C — Composer integration with Journey platform (curriculum_architect + Forge, after AIN-94-B + AIN-123-A) 32. 32. AIN-142 — Éowyn adversarial visual QA six-way break (M5, after arena UI and lesson wiring complete) 33. 33. AIN-141 — PKM second-verifier receipts pipeline producing live receipts (AgentOps, M5–M6) 34. 34. AIN-NEW-JP-3 — End-to-end learner journey smoke test (Éowyn + Jared, M6, all upstream must be green) 35. 35. AIN-100 — Test-coverage gap fill to defined floor (qa_automation_engineer, M6) 36. 36. AIN-NEW-QA-1 — QA launch bar verification report (qa_automation_engineer + Éowyn, M6 → M7 gate) 37. 37. AIN-130 — MCP-first distribution: classify + go/no-go decision (AgentOps, M6, not on launch critical path but should be resolved before M7) 38. 38. Jessica M7 go/no-go sign-off — all five launch gates green ===== NEW ISSUES: 13 ===== - [P0] AIN-NEW-ORG-1: Confirm Vertex/Gemini Interactions API quota for concurrent learner load (Ali GCP action) | dept=AgentOps & Factory Health lane=platform builder=Ali (founder — GCP console action) verifier=Richard (CTO — confirms quota is sufficient for 50–100 concurrent sessions) ms=M0 — Org Activation - [P0] AIN-NEW-ORG-2: DPA + PostHog data-processing agreement — legal prerequisite for paid learner admission | dept=Data, Vertex & Personalization lane=privacy builder=Laurie (CDPO — executes PostHog DPA documentation + consent UI AIN-98) verifier=Ali (founder signatory — signs DPA before any paid learner is admitted) ms=M4 — Full L1–L5 Content + Legal Prerequisites - [P0] AIN-NEW-ORG-3: Stripe account + CF Worker integration scaffold (prerequisite for AIN-93) | dept=Journey & Platform lane=platform builder=Forge (platform builder agent) verifier=Richard (CTO — account-level confirmation + test-mode key verification) ms=M2 — Content Baseline + Platform Scaffolds - [P0] AIN-NEW-PROD-1: Launch-v1 scope decision — update company goal doc to reflect text-only vs. media-gated | dept=AgentOps & Factory Health lane=governance builder=Jessica (CEO — decision + doc update) verifier=Monica (Product — confirms department plans align to updated scope) ms=M0 — Org Activation - [P0] AIN-NEW-PROD-2: 500-module vs. minimum viable corpus decision for AIN-94/AIN-95 scope | dept=Curriculum & Learning Design lane=curriculum builder=Jessica (CEO — written decision) verifier=Curriculum department head (confirms AIN-94/AIN-95 scope is plannable after decision) ms=M0 — Org Activation - [P0] AIN-NEW-PROD-3: QA launch bar definition — coverage floor + adversarial-pass threshold | dept=QA & Verification lane=qa builder=Jessica (CEO — defines the threshold in writing) verifier=Éowyn (QA — confirms the bar is testable and auditable given current tooling) ms=M0 — Org Activation - [P1] AIN-NEW-JP-2: Backup verifier designation for Journey tasks when Éowyn is over-subscribed | dept=Journey & Platform lane=qa builder=Monica (Product — defines acceptance criteria coverage for backup role) verifier=Jessica (CEO — approves QA coverage policy) ms=M5 — Lesson Wiring + Tutor Integration - [P0] AIN-NEW-JP-3: End-to-end learner journey smoke test (onboarding → assessment → lesson → arena → payment gate) | dept=QA & Verification lane=qa builder=Éowyn (adversarial QA) verifier=Jared (platform lead) ms=M6 — QA Launch Bar + End-to-End Verification - [P1] AIN-NEW-JP-4: Video + audio lesson slot spec (CDN URL pattern + metadata shape + fallback behavior) | dept=Journey & Platform lane=curriculum-journey builder=Monica (Product) verifier=Jared (platform lead) ms=M4 — Full L1–L5 Content + Legal Prerequisites - [P1] AIN-NEW-GROWTH-1: Finch canon-voice review of AIN-134 PRs #106/#110 before merge to main | dept=Growth, Marketing & Media lane=growth builder=Finch (canon/memory agent) verifier=Head of Growth (confirms copy is usable after Finch review) ms=M4 — Full L1–5 Content + Legal Prerequisites - [P1] AIN-NEW-REL-1: Rollback runbook for CF release pipeline (prerequisite for launch go/no-go gate G-C) | dept=Release & Platform Control lane=platform builder=release_marshal (Releaser) verifier=Richard (CTO — confirms runbook is executable by a cold agent in < 15 minutes) ms=M1 — Release Infrastructure Live - [P1] AIN-NEW-QA-1: QA launch bar verification report (gate for M6 → M7) | dept=QA & Verification lane=qa builder=qa_automation_engineer verifier=Éowyn (adversarial QA) ms=M6 — QA Launch Bar + End-to-End Verification - [P0] AIN-NEW-CUR-1: Joint owner + shared deadline for AIN-95 → AIN-123 cross-department dependency | dept=Journey & Platform lane=curriculum-journey builder=Monica (Product — owns the dependency contract) verifier=Richard (CTO — confirms timeline is realistic) ms=M2 — Content Baseline + Platform Scaffolds Shell cwd was reset to /Users/Ali/PKM
Outstanding synthesis — decision-ready. The council's verdict: not launch-ready, but the critical path is clear and three founder decisions are gating the whole org. Let me extract the plan + issue specs into durable artifacts (one for you, one for codex to create the issues from):
cd /Users/Ali/PKM/scratch/pkm-deepdive
python3 - <<'PY'
import json
d=json.load(open('/private/tmp/claude-502/-Users-Ali-PKM/ea21dc9e-a684-460b-b5d8-244fa739715e/tasks/w5huih3lg.output'))
r=d['result']; s=r['synthesis']; depts=r['departments']
# --- issue-specs.json for codex ---
specs={'new_issues':s['new_issues'],
'milestones':[{'name':m['name'],'target':m['target'],'gate':m['gate_criteria'],'includes':m['includes']} for m in s['milestones']],
'department_bounded_tasks':[{'department':dp['department'],'scoped_goal':dp['scoped_goal'],
'bounded_tasks':dp.get('bounded_tasks',[]),'new_issues':dp.get('new_issues',[])} for dp in depts]}
json.dump(specs, open('aina-issue-specs.json','w'), indent=1)
print("issue-specs.json written. new_issues:",len(specs['new_issues']),
"| dept bounded-tasks total:", sum(len(x['bounded_tasks']) for x in specs['department_bounded_tasks']))
# --- plan markdown for Ali + canon ---
o=[]
o.append("# AINA Launch-Readiness Council — Plan (2026-06-29)\n")
o.append("## Verdict\n"+s['summary']+"\n")
o.append("## Milestones (M0→M8)\n")
for m in s['milestones']:
o.append(f"### {m['name']} — {m['target']}\n- **Gate:** {m['gate_criteria']}\n- **Includes:** {', '.join(m['includes'])}\n")
o.append("## The Issue Train (stage gates)\n")
for st in s['issue_train']['stages']:
o.append(f"**{st['stage']}** (owner: {st['owner']})\n - entry: {st['entry']}\n - exit: {st['exit']}\n")
o.append("## Decisions for Ali\n")
for i,dec in enumerate(s['decisions_for_ali'],1):
o.append(f"{i}. **{dec['decision']}**\n - Options: "+ " | ".join(dec['options'][:3]) +f"\n - **Recommendation:** {dec['recommendation']}\n")
o.append("## New issues to create ("+str(len(s['new_issues']))+")\n")
for n in s['new_issues']:
o.append(f"- [{n['priority']}] **{n['title']}** — {n['department']} / {n['lane']} · builder={n['builder']} · verifier={n['verifier']} · {n['milestone']}")
o.append("\n## Priorities (critical path)\n")
for i,p in enumerate(s['priorities_ranked'][:20],1):
pp=p.split('. ',1)[-1] if '. ' in p else p
o.append(f"{i}. {pp}")
open('AINA-LAUNCH-PLAN.md','w').write("\n".join(o))
print("AINA-LAUNCH-PLAN.md written,", len("\n".join(o)), "chars")
PY
ls -la aina-issue-specs.json AINA-LAUNCH-PLAN.mdissue-specs.json written. new_issues: 13 | dept bounded-tasks total: 52 AINA-LAUNCH-PLAN.md written, 27242 chars -rw-r--r--@ 1 Ali staff 27659 Jun 29 16:14 AINA-LAUNCH-PLAN.md -rw-r--r--@ 1 Ali staff 78465 Jun 29 16:14 aina-issue-specs.json
The council produced 13 new issues + 52 bounded sub-tasks (each with lane/skills/builder/verifier/acceptance). That's the full backlog the department heads want created. Let me dispatch codex to create them in Paperclip — mapped to department goals, bounded sub-tasks as children of their parent issues, with builder/verifier separation and milestone tags. Staging the specs + writing the creation lane:
# Lane: Create the council's launch-readiness issues in Paperclip ## AUTONOMY (overrides inherited protocol) Autonomous ISSUE-CREATION agent. PROCEED WITHOUT ASKING. Create issues in the Paperclip company from the council synthesis. Be idempotent (dedupe against existing titles). Report honestly. Company ID = `7d58fc13-7c9a-4c87-b9f8-a7cfae8564a9` (use `--company-id` on every call). Founder direction: "let the department heads create the issues they mentioned." ## Source Read `/srv/aina/ops/aina-issue-specs.json` — it has: - `new_issues` (13): the synthesis's net-new issues (each: title, department, lane, skills, builder, verifier, bounded_scope, priority, milestone). - `department_bounded_tasks` (7 depts, ~52 tasks): each dept's `bounded_tasks` (title like "AIN-93-A: ...", lane, skills, builder, verifier, acceptance, depends_on) + dept `new_issues`. - `milestones` (M0–M8): name/target/gate/includes — use to tag each issue's milestone. ## Steps 1. `paperclipai issue create --help` and `paperclipai goal list --company-id <CO> --json` — learn the create schema (goalId, parentId, labels, priority, title, description) and map each **department name → goalId** (the 7 team goals: Journey & Platform, Curriculum & Learning Design, Data Vertex & Personalization, QA & Verification, Release & Platform Control, Growth Marketing & Media, AgentOps & Factory Health). 2. `paperclipai issue list --company-id <CO> --json` — get existing issues (identifiers AIN-##, titles, ids). Use to (a) DEDUPE: skip creating any issue whose title already substantially exists; (b) resolve PARENTS: a bounded task titled "AIN-93-A: ..." is a child of existing issue AIN-93 → set `parentId` to AIN-93's id (strip the "AIN-93-A:" prefix into a clean title, keep the mapping in the description). 3. Create issues: - **13 new_issues** → top-level issues under the mapped department goalId. - **~52 bounded_tasks** → child issues (parentId = the parent AIN-## where the title implies one, e.g. AIN-95-A→AIN-95; else top-level under the dept goal). Skip any that duplicate an existing open issue. - For EACH issue set: `priority` (P0→1/critical, P1→2/high mapped to the enum the CLI accepts — check create --help), labels include the **lane**, the **milestone** (M0..M8), and `council-2026-06-29`. The **description** must contain: scoped goal (for dept top-levels), bounded scope/acceptance, **Builder:** <name>, **Verifier:** <name> (builder ≠ verifier), Skills, Depends-on. - **FOUNDER-DECISION issues** (AIN-NEW-ORG-1/2/3 + AIN-NEW-PROD-1/2/3): create them but prefix the title/description with **[FOUNDER-DECISION]** and note builder=Jessica/Ali — these are decisions to make, NOT agent-executable; do not assign to a build agent. 4. Do NOT start any execution. AIN-144 (CEO approval) still gates agents starting work — this lane only CREATES the backlog. ## Deliver Report to `/srv/aina/ops/issue-creation-report.md`: count created, skipped-as-duplicate, the new identifiers grouped by milestone + department, and any failures. Honest (no false-done). This is a backlog build; no PR needed (Paperclip issues, not repo files).
File created successfully at: /Users/Ali/PKM/scratch/pkm-deepdive/lane-create-issues.md (file state is current in your context — no need to Read it back)
cd /Users/Ali/PKM/scratch/pkm-deepdive # stage specs + plan + lane prompt to VDS, push plan to canon, launch codex issue-creation lane tar czf - aina-issue-specs.json AINA-LAUNCH-PLAN.md lane-create-issues.md | base64 | ./vds-exec.sh runl ' base64 -d | tar xzf - -C /tmp 2>/dev/null cp /tmp/aina-issue-specs.json /srv/aina/ops/aina-issue-specs.json cp /tmp/AINA-LAUNCH-PLAN.md /srv/aina/ops/reference/AINA-LAUNCH-PLAN.md cp /tmp/lane-create-issues.md /srv/aina/ops/lanes/lane-create-issues.md echo STAGED CODEX="exec --json --dangerously-bypass-approvals-and-sandbox --model gpt-5.3-codex-spark -c model_reasoning_effort=high --skip-git-repo-check -" cd /srv/aina/ops nohup bash -c "cat /srv/aina/ops/lanes/lane-create-issues.md | codex $CODEX" > /srv/aina/ops/codex-create-issues.log 2>&1 & echo "create-issues LAUNCHED pid=$!" sleep 8 echo "== tail =="; tail -2 /srv/aina/ops/codex-create-issues.log 2>/dev/null | tr -d "\000" | head -2'
STAGED
create-issues LAUNCHED pid=2257378
== tail ==
{"type":"error","message":"You've hit your usage limit for GPT-5.3-Codex-Spark. Switch to another model now, or try again at 7:38 PM."}
{"type":"turn.failed","error":{"message":"You've hit your usage limit for GPT-5.3-Codex-Spark. Switch to another model now, or try again at 7:38 PM."}}Quota on gpt-5.3-codex-spark is exhausted again (resets 7:38 PM) — the council + earlier waves burned through it. But issue creation is deterministic — it doesn't need an LLM. I'll create them directly via a script instead of waiting 3 hours for codex. Checking the create-command shape + department→goal map first:
cd /Users/Ali/PKM/scratch/pkm-deepdive ./vds-exec.sh run 'set +e export PATH=$PATH:/usr/local/bin CO=7d58fc13-7c9a-4c87-b9f8-a7cfae8564a9 echo "== issue create --help =="; paperclipai issue create --help 2>&1 | sed -n "1,40p" echo "== goal id map =="; paperclipai goal list --company-id $CO --json 2>/dev/null | python3 -c "import sys,json d=json.load(sys.stdin); gs=d if isinstance(d,list) else d.get(\"goals\",d.get(\"data\",[])) for g in gs: print(g.get(\"id\"),\"::\",g.get(\"level\",\"\"),\"::\",(g.get(\"title\") or g.get(\"name\") or \"\")[:60])"'
== issue create --help ==
Usage: paperclipai issue create [options]
Create an issue
Options:
-C, --company-id <id> Company ID
--title <title> Issue title
--description <text> Issue description
--status <status> Issue status
--priority <priority> Issue priority
--assignee-agent-id <id> Assignee agent ID
--project-id <id> Project ID
--goal-id <id> Goal ID
--parent-id <id> Parent issue ID
--request-depth <n> Request depth integer
--billing-code <code> Billing code
-c, --config <path> Path to Paperclip config file
-d, --data-dir <path> Paperclip data directory root (isolates state from
~/.paperclip)
--context <path> Path to CLI context file
--profile <name> CLI context profile name
--api-base <url> Base URL for the Paperclip API
--api-key <token> Bearer token for agent-authenticated calls
--run-id <id> Heartbeat run id for agent-authenticated mutations
(checkout/release/interactions/in-progress update);
falls back to $PAPERCLIP_RUN_ID
--json Output raw JSON
-h, --help display help for command
== goal id map ==
737dba7f-e6e8-4a93-ac75-bff9cc58156f :: company :: AINA Academy LIVE on one URL — website→onboarding→assessment
b8b4bc2f-974b-4d64-9132-c171aee37ee8 :: team :: Journey & Platform — the learner experience on the URL
0f13f625-7aae-467c-a9b9-c6a55019f670 :: team :: Curriculum & Learning Design
3a343486-7bda-4e84-b9f1-b5b97b7ae25f :: team :: Data, Vertex & Personalization
f6b115a7-99d6-42b9-8897-fac6f80b45be :: team :: QA & Verification
4c2f4a4a-c45a-4106-844f-1ecb6b3f8d81 :: team :: Release & Platform Control
48356540-9a58-4f67-8721-e24e2e6a6069 :: team :: Growth, Marketing & Media
e764c04a-9691-4743-a7ac-d53ed9179b74 :: team :: AgentOps & Factory HealthI have everything needed (create flags, the 8 goal IDs, priority enum = critical/high/low). I'll create the 65 issues deterministically — no codex, quota-immune. Writing the creation script with a dry-run first so I can sanity-check the goal/parent/priority resolution before the real run:
#!/usr/bin/env python3
import json, subprocess, re, os, sys, time
CO="7d58fc13-7c9a-4c87-b9f8-a7cfae8564a9"
DRY = os.environ.get("DRY","1") == "1"
GOALS = {
"journey":"b8b4bc2f-974b-4d64-9132-c171aee37ee8",
"curriculum":"0f13f625-7aae-467c-a9b9-c6a55019f670",
"data":"3a343486-7bda-4e84-b9f1-b5b97b7ae25f",
"qa":"f6b115a7-99d6-42b9-8897-fac6f80b45be",
"verification":"f6b115a7-99d6-42b9-8897-fac6f80b45be",
"release":"4c2f4a4a-c45a-4106-844f-1ecb6b3f8d81",
"growth":"48356540-9a58-4f67-8721-e24e2e6a6069",
"marketing":"48356540-9a58-4f67-8721-e24e2e6a6069",
"media":"48356540-9a58-4f67-8721-e24e2e6a6069",
"agentops":"e764c04a-9691-4743-a7ac-d53ed9179b74",
"factory":"e764c04a-9691-4743-a7ac-d53ed9179b74",
}
def dept_goal(name):
n=(name or "").lower()
for k,v in GOALS.items():
if k in n: return v
return None
def run(args):
return subprocess.run(["paperclipai"]+args, capture_output=True, text=True)
specs=json.load(open("/srv/aina/ops/aina-issue-specs.json"))
# existing issues for dedup + parent resolution
r=run(["issue","list","--company-id",CO,"--json"])
try: ex=json.loads(r.stdout); ex=ex if isinstance(ex,list) else ex.get("issues",ex.get("data",[]))
except Exception: ex=[]
by_ident={}; titles=set()
for it in ex:
ident=it.get("identifier","")
if ident: by_ident[ident]=it.get("id")
t=(it.get("title") or "").strip().lower()
if t: titles.add(t)
print(f"existing issues={len(ex)} idents={len(by_ident)}")
# milestone map: AIN-id / keyword -> milestone name
ms_for={}
for m in specs.get("milestones",[]):
for inc in m.get("includes",[]):
mm=re.search(r'(AIN-[A-Z0-9-]+)', inc)
if mm: ms_for[mm.group(1)]=m["name"]
def milestone_of(title):
mm=re.search(r'(AIN-[A-Z0-9-]+)', title)
if mm and mm.group(1) in ms_for: return ms_for[mm.group(1)]
return ""
def prio(p):
p=(p or "").upper()
if "P0" in p or p=="CRITICAL": return "critical"
if "P1" in p or p=="HIGH": return "high"
return "high"
def parent_id(title):
mm=re.match(r'\s*(AIN-\d+)-[A-Z]', title)
if mm:
return by_ident.get(mm.group(1))
return None
planned=[]
# 1) synthesis new_issues
for n in specs.get("new_issues",[]):
title=n["title"]
founder = title.startswith("AIN-NEW-PROD") or title.startswith("AIN-NEW-ORG") or "FOUNDER" in (n.get("builder","")+title)
disp = ("[FOUNDER-DECISION] " if founder else "")+title
desc=(f"Department: {n.get('department')}\nLane: {n.get('lane')}\nSkills: {', '.join(n.get('skills',[]))}\n"
f"Builder: {n.get('builder')}\nVerifier: {n.get('verifier')}\nBounded scope: {n.get('bounded_scope','')}\n"
f"Milestone: {n.get('milestone','')}\nSource: council-2026-06-29"
+ ("\n[FOUNDER-DECISION — not agent-executable; Ali/Jessica to decide]" if founder else ""))
planned.append({"title":disp,"goal":dept_goal(n.get("department")),"parent":None,
"priority":prio(n.get("priority")),"desc":desc,"kind":"new"})
# 2) dept bounded_tasks
for dp in specs.get("department_bounded_tasks",[]):
dname=dp["department"]; g=dept_goal(dname)
for bt in dp.get("bounded_tasks",[]):
title=bt["title"]
desc=(f"Department: {dname}\nLane: {bt.get('lane')}\nSkills: {', '.join(bt.get('skills',[]))}\n"
f"Builder: {bt.get('builder')}\nVerifier: {bt.get('verifier')}\nAcceptance: {bt.get('acceptance','')}\n"
f"Depends-on: {', '.join(bt.get('depends_on',[]))}\nMilestone: {milestone_of(title)}\nSource: council-2026-06-29")
planned.append({"title":title,"goal":g,"parent":parent_id(title),
"priority":prio(""),"desc":desc,"kind":"bounded","ms":milestone_of(title)})
# dedup
final=[]; skipped=0
for p in planned:
if p["title"].strip().lower() in titles: skipped+=1; continue
final.append(p)
print(f"planned={len(planned)} to_create={len(final)} skipped_dup={skipped}")
from collections import Counter
print("by goal:", Counter([p['goal'][:8] if p['goal'] else 'NONE' for p in final]))
print("with parent:", sum(1 for p in final if p['parent']), "| founder:", sum(1 for p in final if p['title'].startswith('[FOUNDER')))
if DRY:
print("\n--- DRY RUN sample (first 18) ---")
for p in final[:18]:
print(f"[{p['priority']}] parent={'Y' if p['parent'] else '-'} goal={p['goal'][:8] if p['goal'] else 'NONE'} :: {p['title'][:80]}")
print("\n(set DRY=0 to create)")
sys.exit(0)
created=[]; failed=[]
for p in final:
args=["issue","create","--company-id",CO,"--title",p["title"][:200],"--description",p["desc"],
"--status","todo","--priority",p["priority"],"--json"]
if p["goal"]: args+=["--goal-id",p["goal"]]
if p["parent"]: args+=["--parent-id",p["parent"]]
rr=run(args)
if rr.returncode==0:
try: oid=json.loads(rr.stdout); ident=oid.get("identifier") or oid.get("id","?")
except Exception: ident="created"
created.append((ident,p["title"][:60]))
else:
failed.append((p["title"][:60], (rr.stderr or rr.stdout)[:120]))
time.sleep(0.2)
print(f"\nCREATED={len(created)} FAILED={len(failed)}")
for i,t in created: print(" +",i,t)
for t,e in failed: print(" x",t,"=>",e)
# report
with open("/srv/aina/ops/issue-creation-report.md","w") as f:
f.write(f"# Council issue creation (council-2026-06-29)\n\nCreated {len(created)}, skipped-dup {skipped}, failed {len(failed)}.\n\n")
for i,t in created: f.write(f"- {i} :: {t}\n")
if failed:
f.write("\n## Failed\n")
for t,e in failed: f.write(f"- {t} => {e}\n")
print("report -> /srv/aina/ops/issue-creation-report.md")
File created successfully at: /Users/Ali/PKM/scratch/pkm-deepdive/create_issues.py (file state is current in your context — no need to Read it back)
cd /Users/Ali/PKM/scratch/pkm-deepdive base64 < create_issues.py | ./vds-exec.sh run 'base64 -d > /tmp/create_issues.py && export PATH=$PATH:/usr/local/bin && DRY=1 python3 /tmp/create_issues.py'
existing issues=154 idents=154
planned=65 to_create=65 skipped_dup=0
by goal: Counter({'f6b115a7': 14, 'b8b4bc2f': 12, 'e764c04a': 9, '0f13f625': 9, '3a343486': 8, '4c2f4a4a': 7, '48356540': 6})
with parent: 40 | founder: 6
--- DRY RUN sample (first 18) ---
[critical] parent=- goal=e764c04a :: [FOUNDER-DECISION] AIN-NEW-ORG-1: Confirm Vertex/Gemini Interactions API quota f
[critical] parent=- goal=3a343486 :: [FOUNDER-DECISION] AIN-NEW-ORG-2: DPA + PostHog data-processing agreement — lega
[critical] parent=- goal=b8b4bc2f :: [FOUNDER-DECISION] AIN-NEW-ORG-3: Stripe account + CF Worker integration scaffol
[critical] parent=- goal=e764c04a :: [FOUNDER-DECISION] AIN-NEW-PROD-1: Launch-v1 scope decision — update company goa
[critical] parent=- goal=0f13f625 :: [FOUNDER-DECISION] AIN-NEW-PROD-2: 500-module vs. minimum viable corpus decision
[critical] parent=- goal=f6b115a7 :: [FOUNDER-DECISION] AIN-NEW-PROD-3: QA launch bar definition — coverage floor + a
[high] parent=- goal=b8b4bc2f :: AIN-NEW-JP-2: Backup verifier designation for Journey tasks when Éowyn is over-s
[critical] parent=- goal=f6b115a7 :: AIN-NEW-JP-3: End-to-end learner journey smoke test (onboarding → assessment → l
[high] parent=- goal=b8b4bc2f :: AIN-NEW-JP-4: Video + audio lesson slot spec (CDN URL pattern + metadata shape +
[high] parent=- goal=48356540 :: AIN-NEW-GROWTH-1: Finch canon-voice review of AIN-134 PRs #106/#110 before merge
[high] parent=- goal=4c2f4a4a :: AIN-NEW-REL-1: Rollback runbook for CF release pipeline (prerequisite for launch
[high] parent=- goal=f6b115a7 :: AIN-NEW-QA-1: QA launch bar verification report (gate for M6 → M7)
[critical] parent=- goal=b8b4bc2f :: AIN-NEW-CUR-1: Joint owner + shared deadline for AIN-95 → AIN-123 cross-departme
[high] parent=Y goal=b8b4bc2f :: AIN-93-A: Implement pricing/entitlement gate — Stripe $349 checkout + free-then-
[high] parent=Y goal=b8b4bc2f :: AIN-93-B: Entitlement enforcement in middleware — block paid routes for free use
[high] parent=Y goal=b8b4bc2f :: AIN-124-A: Surface placement rationale UI + skip-ahead gate after assessment
[high] parent=Y goal=b8b4bc2f :: AIN-123-A: Wire every lesson node to a mission card + tutor-path config — no orp
[high] parent=Y goal=b8b4bc2f :: AIN-138-A: Durable practice arena — Durable Object scaffolding + state persisten
(set DRY=0 to create)Dry-run is clean: 65 issues, 0 duplicates, 40 correctly resolved as sub-tasks of their parents, the 6 founder-decisions flagged, goal mapping correct. Creating for real:
cd /Users/Ali/PKM/scratch/pkm-deepdive ./vds-exec.sh run 'export PATH=$PATH:/usr/local/bin && DRY=0 python3 /tmp/create_issues.py 2>&1 | tail -75'
The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed. Note: The user's next message may contain a correction or preference. Pay close attention — if they explain what went wrong or how they'd prefer you to work, consider saving that to memory for future sessions.