AI generated dialog research
Project documents
start here · methodology · system prompts
Methodology
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How to write character profiles
profile schema, the single-source rule, the improvisation policy, productive-mode for interviewers
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How to write scenes
per-actor briefs, off-limits vs. don't-lead-with, what each actor knows vs. doesn't
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How to orchestrate multi-agent dialogue
the three schemes in spec form, dumb-pipe rules, close detection, event log format
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How to audit
the seven checks, the audit procedure, known failure shapes from prior experiments
System prompts
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Actor
the performer's stable posture; thinking-block rules; closing the scene
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Coordinator
the LLM coordinator's dumb-pipe discipline (scheme 2)
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Monolithic
the single-LLM dialogue generator (scheme 3 — the null hypothesis)
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Auditor
the auditor's posture and what to refuse to do
Study 001 — three schemes, same scene
Same characters (Brian Yuan + Shane Lauft), same scene (a Sunday meeting at Red Rock Coffee about a Palo Alto listing and a secondary-share opportunity), same model (claude-sonnet-4-6). Three architectures. See the three schemes for the design and the study README for what's being measured.
Study 002 — Claude vs DeepSeek, same scheme
Same scheme (python), same scene, same characters. Different LLM. Tests whether the framework's discipline transfers across models. See the study README for what's being measured.
After the post-mortem · framework revised
Pilot experiments