AI generated dialog research
Project documents start here · methodology · system prompts
Start here
- The three schemes how a dialogue can be generated: two brains and a robot, one actor in many disciplines, or one writer scripting both sides
- Cost analysis — study 001 what each scheme actually cost; normalised tables (Opus, Sonnet); architecture vs model as cost levers
- Project conventions (CLAUDE.md) what the project is, file structure, working norms
- README public-facing overview
Methodology
- How to write character profiles profile schema, the single-source rule, the improvisation policy, productive-mode for interviewers
- How to write scenes per-actor briefs, off-limits vs. don't-lead-with, what each actor knows vs. doesn't
- How to orchestrate multi-agent dialogue the three schemes in spec form, dumb-pipe rules, close detection, event log format
- How to audit the seven checks, the audit procedure, known failure shapes from prior experiments
System prompts
- Actor the performer's stable posture; thinking-block rules; closing the scene
- Coordinator the LLM coordinator's dumb-pipe discipline (scheme 2)
- Monolithic the single-LLM dialogue generator (scheme 3 — one writer scripting both sides)
- Auditor the auditor's posture and what to refuse to do
User-AI forum live human + character panel · design preview
Wireframes — static, for design confirmation
- Forum wireframes — overview entry page; the design decisions locked so far, with links to both mockups
- Chat UI the live discussion front-end: opening self-intros, self-election bid traces, @-address, beat-cap; theme · engine · thinking toggles are live
- Architecture front ↔ back topology — browser ↔ local SSE server ↔ the two engines ↔ the same artefacts — plus one human turn stepped through each engine