Trace→Generator: Inverse Prompting Toy Scaffold¶
Status: Scaffold Scope: Minimal experiment design for searching prompt/control configurations from desired output constraints. Epistemic status: Engineering prototype template; no claim of full inverse recovery. Related files: - theory/emergence/trace-to-generator.md - theory/ai/llms-as-probabilistic-automata.md - theory/core/simulation-theory-map.md Failure conditions: - Treating prompt search success as proof of unique generator recovery. - Ignoring runtime and evaluator bias.
Goal¶
Given target output constraints, search for prompt candidates that generate outputs scoring well under an explicit evaluator.
Components¶
- Target constraints (style, facts, structure)
- Candidate prompts
- Generator interface (stub)
- Evaluator
- Mutation/search loop
Limits¶
- No API credentials required; generation backend is mocked by default.
- Reconstruction is non-unique.
- Evaluator choices strongly shape recovered candidates.