agentic-ai-engineering/products/DASHBOARD.md

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# TAC Products Dashboard
| Product | Price | Status | Class | Grade | Agentic layer | Skills | Deploy actions |
|---|---:|---|---:|---:|---|---:|---|
| Product Factory | $99 | mvp | 3 | 3 | orchestrator-adw | 8 | patch_skill_from_pr |
| Plan F3 (Mythos Planning Meta-Skill) | $49 | planned | 2 | 3 | planner-meta | 6 | patch_skill_from_pr |
| Security Gate | $49 | planned | 2 | 1 | out-loop-policy-gate | 6 | disable_skill, enable_skill |
| Verifier Pro | $39 | existing-kit | 1 | 4 | closed-loop-verifier | 5 | none |
| SkillOpt Lab | $39 | planned | 2 | 2 | eval-driven-improvement | 5 | run_skill_tests, patch_skill_from_pr |
| CEO Board | $49 | existing-kit | 1 | 7 | expert-panel-mental-models | 6 | none |
| Observability Cockpit | $29 | existing-kit | 2 | 1 | out-loop-observability | 4 | none |
| Multi-Agent Orchestrator | $49 | existing-kit | 3 | 2 | orchestrator-workflows | 6 | none |
| Task Discipline | $29 | existing-kit | 1 | 4 | closed-loop-task-prompts | 4 | none |
## Generated products
- `agent-powered-customer-support-triage-product`
## Last check
- No checks logged yet
## Deploy readiness
- No outcome logged yet
## Plan status
- Plans live in `plans/<product_id>/plan.md` and must validate before build/deploy.
- Amendments are append-only via `## Amendment <UTC timestamp>`.
## Open risks
- Do not overclaim arbitrary self-improvement; only verified canary/receipts belong here.
- Legacy direct `:8098` deploy-webhook is internal/stale for guarded deploy; use `:8099/deploy`.
## Current factory truth
- RSI status: live factory reports 65/65 healthy, cron + skill_health present, factory_watcher active, deploy_route present, and `auto_patch_proven=false`; `rsi_canary` recovery evidence is linked at `packages/pi-real-engineering/docs/receipts/rsi-proof-20260619T093724Z.md` and mirrored at `products/receipts/rsi-proof-20260619T093724Z.md`.
- Engine factory memory: 25 containers, 6 agents, 63 skills.
- Deploy path must use signed actions through git-proxy `:8099/deploy`, not raw shell or direct legacy `:8098` deploy.
## Loop engineering
- Loop 1 agent: ADW planner/builder/tester/reviewer/deployer phases run tools until done.
- Loop 2 verification: plan validation, pytest, verifier events, and receipts gate readiness.
- Loop 3 event-driven: GitHub webhooks, cron `skill_health`, JSONL events, and dashboard refresh trigger work.
- Loop 4 hill-climbing: SkillOpt/skill_health can request signed patches, but broader auto-patch autonomy stays unproven without degraded-skill recovery receipts.
## Next action
```bash
python products/product_factory.py "agent-powered customer support triage product"
python products/product_factory.py ladder
uv run --with pytest pytest -q
```