Sternmannli/kalam-framework
A methodology for dignity-first human-AI interaction
What's novel
A methodology for dignity-first human-AI interaction
Code Analysis
10 files read · 3 roundsA complex AI interaction framework that combines dignity-first design constraints, statistical drift detection (EWMA/CUSUM), NLP-based pattern detectors (absurdity/humour/love), cryptographic erasure (pure-Python AES-256-GCM), differential privacy budgeting, and a 50+ module 'organism' architecture
Strengths
Genuine implementation depth with a from-scratch AES-256-GCM implementation, proper EWMA/CUSUM statistical detectors, correct KL/JS divergence math, and a well-structured privacy budget system. The code is clean, well-documented, and uses meaningful dataclass-based designs with stdlib-only dependencies where possible.
Weaknesses
The README severely understates the project's scope and complexity, describing it as a simple 'research toolkit' when it's actually a massive multi-module framework with philosophical underpinnings. No test suite was found, and the organism.py integration layer (108KB) imports from WEAVER/FIELD directories that weren't visible in the provided file tree, raising questions about project completeness and maintainability.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
18
Contributors
2
Files
53
Active weeks
2
Repository
Language
Python
Stars
1
Forks
0
License
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