Applied artifacts and strategy docs produced using the pmm-ops skills (analogous to devrel-playbook/applied/). Not skills themselves — worked outputs and roadmaps.
| File | What it is | Produced by |
|---|---|---|
aipmm-agent-blueprint.md |
Can we assemble an AI PMM from MStack's existing skills? Capability map (function → skill → gap), agent architecture with a POV "taste layer," and a gap-closing build sequence. | voice-engine + a survey of the live MStack skill inventory |
10x-100x-use-cases.md |
Ranked shortlist of what to build with voice-modeling + the PMM stack. 6 efficiency (10x) + 6 compounding (100x) use cases, with a decision filter. | The May-2026 voice-engine session |
Backstory. Both docs came out of a single session: harvest a top PMM voice (Logan Hendrickson) past LinkedIn's activity gate → distill it (../skills/voice-engine/data/logan-hendrickson_voice-profile.md) → ask "what can I build with this?" The voice profile and corpus live with the voice-engine skill; these two docs are the strategic output.