Mathematical Autopsy
Every AI decision dissected through mathematical proof. From ambiguous intent to deterministic execution.
What is a Mathematical Autopsy?
A Mathematical Autopsy is a framework for decomposing complex natural language instructions into a deterministic, inspectable, and replayable series of logical transformations.
Instead of treating AI as a black box, the Mathematical Autopsy builds a complete symbolic trace from human intent to executable code, proving why it works and how it was derived.
Explainability
Every output grounded in an intermediate symbolic step.
Testability
Each transformation validated independently.
Replayability
Any result regenerated identically from original intent.
The Autopsy Pipeline
1. intent.md
The original human vision or instruction in natural language.
2. conversation.md
Simulated dialog exploring edge cases and clarifications.
3. calculus.md
Formal symbolic logic describing the mathematical solution.
4. calculus_trace.md
Validation trace proving behavior correctness.
5. calculus_map.md
Mapping of mathematical symbols to code artifacts.
6. code.py
Final executable code derived from proven mathematics.
Perfect For
Regulated Industries
Complete audit trail from requirement to implementation. Every decision traceable and provable.
Critical Systems
Mathematical proof before deployment. No ambiguity in safety-critical implementations.
AI Engineering
Transform complex AI workflows into deterministic pipelines with guaranteed behavior.
Prove Your AI's Reasoning
Mathematical Autopsy transforms black-box AI into transparent, provable systems. Every decision traced, every output verified.