mrhavens 8cf833c729 feat: Content-Based Purpose Inference ...

Added content_infer.py - analyzes existing content to infer purpose:

- ContentPurposeInferer class
- Analyzes blog posts, articles, text
- Detects signals: tutorials, explainers, transformation stories, etc.
- Returns purpose, confidence, reasoning

Updated intake.py to weight all signals:
1. Explicit flags (weight: 1.0)
2. Content inference (weight: 0.4) - NEW
3. Keyword classification (weight: 0.3)
4. Conversational (weight: 0.5)

Now if you point at a blog:
- Tutorial posts → LEARN_HANDS_ON
- Explainers → UNDERSTAND
- Transformation stories → TRANSFORM
- Reviews/Comparisons → DECIDE
- Reference docs → REFERENCE
- Journey/Biography → BE_INSPIRED

2026-03-13 20:50:36 +00:00

..

__init__.py

feat: Content-Based Purpose Inference

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classifier.py

feat: Issue #18 - Purpose Classifier for Nonfiction

2026-03-13 20:15:20 +00:00

content_infer.py

feat: Content-Based Purpose Inference

2026-03-13 20:50:36 +00:00

intake.py

feat: Content-Based Purpose Inference

2026-03-13 20:50:36 +00:00