# Cranot/agi-in-md

<https://repo.masters-masters.com/en/repos/Cranot/agi-in-md>

[Home](https://repo.masters-masters.com/en) › [Cranot](https://repo.masters-masters.com/en/owners/Cranot) › [agi-in-md](https://repo.masters-masters.com/en/repos/Cranot/agi-in-md)

Cranot/agi-in-md has 145 stars on GitHub. Its RepoMasters card: Prototype tier. Cognitive prisms for structural analysis — any domain, any model. 1000+…

| Field | Value |
| --- | --- |
| Owner | [Cranot](https://repo.masters-masters.com/en/owners/Cranot) |
| Stars | 145 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | ai-tools, claude, code-analysis, llm, prism, prompt-engineering, self-correction, structural-analysis, cognitive-compression, epistemic-typing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Cranot/agi-in-md](https://github.com/Cranot/agi-in-md) |

## Repository

Cognitive prisms for structural analysis — any domain, any model. 1000+ experiments, 58 prisms, 27 scan modes. The cheapest model + right prism beats the most expensive without one. Cross-architecture validated: Claude + Gemini converge on the same structural laws.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.