Ship AI as PM
Action playbook from nine AI Engineer / World's Fair talks. Do not summarize talks — pick a workflow and execute it.
Supporting files (read when needed):
- workflows.md — workflows A–I (steps, deliverables, stop conditions)
- source-index.md — src-NNN → talk learnings in ingest-into-skills
Optional: {SKILL_OUTPUT_DIR}/ship-ai-as-pm/
Step 0 — Pick workflow
Use the decision tree below. Open the matching section in workflows.md.
What is the user trying to do?
├─ Define AI PM role / ownership → A
├─ Competitive strategy (knife fight, moats) → B
├─ Ship to real users fast → C
├─ Roadmap under capability uncertainty → D
├─ Expert-in-the-loop vertical product → E
├─ Domain expert + eval ownership → F
├─ Agent coordination in work tools → G
├─ Post-engineer engineering org → H
└─ Taste-led UX (anti-slop) → I
Stop summarizing once a workflow is identified — run its checklist.
Install
cp -r skills/ship-ai-as-pm ~/.claude/skills/
cp -r skills/ship-ai-as-pm ~/.cursor/skills/
cp -r skills/ship-ai-as-pm ~/.codex/skills/
From skills-i-use or ingest-into-skills (playlists/product-management-ai-engineer-world-s-fair/).
Cross-cutting rules
| Rule | Source |
|---|---|
| Ship to someone weekly beats platform build | [src-005 @ 0:19] |
| Evals as discovery under uncertainty | [src-004 @ 9:03] |
| Experts own rubrics in verticals | [src-006 @ 7:26] |
Disputed steps: see source-index.md. Name workflow A–I; save artifacts to ./skill-outputs/ship-ai-as-pm/ when requested; do not auto-commit.
Invocation examples
@ship-ai-as-pm AI product strategy for crowded market
roadmap when we dont know model limits