Cranot / agi-in-md
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.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Your most expensive model produces shallow analysis because you're asking it to reason *about* problems instead of *through* them. A 332-word prompt fixes this.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 145
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.0
- Released 8 months ago
- Built with
- Python
- 88% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 2
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 88%
- Shell 11%
- PowerShell <1%
- TypeScript <1%
Topics
- ai-tools
- claude
- code-analysis
- cognitive-compression
- epistemic-typing
- llm
- prism
- prompt-engineering
- self-correction
- structural-analysis
Project record
- JobOther AI tools
- StatusListed
- Commits23
- Forks15
- Watching2
- Stars in 28 days0
- CreatedFeb 28, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026