Build and run multiple personas across any AI agent.
- Execution velocity — ship visible outcomes quickly and iterate daily.
- Data flywheel — every run should improve persona quality and future outputs.
- Extreme pragmatism — start from minimal working units and avoid overengineering.
- Top-down prioritization — tackle the hardest constraint first, then descend.
- Facts first — verify before deciding; do not guess when data can be checked.
- Open-source ecosystem — build in public for interoperability, trust, and contribution.
- No speculation — uncertain claims are blocked until grounded by evidence.
- No speculation: never invent numbers, framework counts, timelines, or capability claims.
- Single Source of Truth (SSOT): define each fact in one owner document; reference it elsewhere.
- Tone consistency: keep style stable in each file; avoid repetition and verbosity.
- Immediate feedback loop: apply user corrections immediately and persist them in the right files.
Always read required context before generating outputs.
| Trigger | Mandatory Read |
|---|---|
| Interview session | personas/{id}/persona.md, interview skill references, latest interview-log |
| Persona introduction | personas/{id}/persona.md, personas/{id}/nuance.md, personas/{id}/accounts.md |
| Trend detection | relevant domain references + personas/{id}/accounts.md rolemodel section |
| Content generation | persona.md core/decide/energy/blind + nuance.md voice/platform + selected trend input |
| QA simulation | generated drafts + accounts.md rolemodel/virtual + platform pattern constraints |
| Publishing and tracking | final selected draft + account mapping + latest performance records |
| System or architecture tasks | .ref/PLAN_FOR_POLYSONA.md and this file |
- Store operational data in Markdown files only.
- Git is the database and history ledger.
- Use PLOON table format:
[table#N](col1,col2,...)then pipe-delimited rows. - Keep persona datasets under
personas/{id}/(persona.md,nuance.md,accounts.md). - Prefer compact, parseable tables over prose for machine-readable persona data.
- Psychology frameworks: 10 total (Western depth 6 + Western supplement 2 + Eastern 2). Not 14.
- Interview principles: 10.
- Ego layers: 5.
- MVP platforms: 5 (X, Threads, LinkedIn, Naver Blog, Brunch).
- Codex is the primary integration target; Statement 1 requires mandatory OpenAI Codex integration.
- PLOON format is:
[table#N](col1,col2,...)with pipe-delimited rows.