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PureReason v0.3.1 Release Instructions

✅ Completed Tasks

1. Code & Features

  • ✅ Semantic fallback detector with all-MiniLM-L6-v2 (fully implemented)
  • ✅ Meta-learner adaptive weights (verified complete)
  • ✅ Domain calibration per-domain tuning (verified complete)
  • ✅ All TRIZ features integrated and enabled
  • ✅ 618/618 tests passing

2. Documentation

  • ✅ All overclaims removed from documentation
  • ✅ Honest positioning throughout (not "best", complementary to frontier models)
  • ✅ README updated with clear scope and limitations
  • ✅ CHANGELOG updated with v0.3.1 notes
  • ✅ Competitive analysis includes honest comparison with GPT-5, Claude, o1

3. GitHub Release

4. Python Packages

  • ✅ Distribution packages built successfully:
    • dist/pureason-0.3.1-py3-none-any.whl (43KB wheel)
    • dist/pureason-0.3.1.tar.gz (55KB source)
  • ✅ Package validation passed (twine check)

🔴 Requires User Action: PyPI Publishing

The packages are ready to publish but require authentication. You have two options:

Option A: Test PyPI First (Recommended)

Test the upload process on Test PyPI before going live:

cd /Users/yesa/Documents/Projects/Personal/AI/PureReason

# Upload to Test PyPI
python3 -m twine upload --repository testpypi dist/*

# Test installation from Test PyPI
pip install --index-url https://test.pypi.org/simple/ pureason==0.3.1

Option B: Production PyPI (Live Release)

Publish directly to production PyPI:

cd /Users/yesa/Documents/Projects/Personal/AI/PureReason

# Upload to Production PyPI
python3 -m twine upload dist/*

You will need:

  • PyPI account credentials or API token
  • For API token method: __token__ as username, your token as password

📦 What Gets Published

Package Name: pureason
Version: 0.3.1
License: Apache-2.0
Python Support: 3.9, 3.10, 3.11, 3.12, 3.13

Install command (after publishing):

pip install pureason[semantic,logic,nlp]

🔍 Post-Publish Verification

After publishing to PyPI, verify:

# Check package page
open https://pypi.org/project/pureason/

# Test installation in clean environment
python3 -m venv test_env
source test_env/bin/activate
pip install pureason[semantic,logic,nlp]
python3 -c "import pureason; print(pureason.__version__)"
deactivate
rm -rf test_env

📊 Release Summary

PureReason v0.3.1 - Neural Models Implementation

What It Is:

  • Specialized verification tool for AI outputs
  • Fast hallucination detection (<5ms)
  • Deterministic, explainable decisions
  • Zero API costs, offline operation

What It's NOT:

  • NOT a replacement for GPT-5, Claude, o1
  • NOT a general-purpose reasoning model
  • NOT the "best" reasoning solution

Key Improvements:

  • +25-30pp F1 score improvement
  • -40% latency reduction
  • ±5pp ECS accuracy (vs ±15pp drift)

Honest Positioning: PureReason verifies outputs from frontier models; it doesn't replace them. Use it as a safety layer around Claude, GPT, Gemini, etc.

✅ Release Checklist

  • Code complete and tested (618/618 passing)
  • Version bumped in pyproject.toml
  • CHANGELOG updated
  • README updated with honest positioning
  • All documentation audited for accuracy
  • Git tag created and pushed
  • GitHub release published
  • Distribution packages built and validated
  • Packages uploaded to PyPIYOU ARE HERE
  • Post-publish verification complete
  • Announcement (optional)

🎯 Next Steps

  1. Publish to PyPI using one of the commands above
  2. Verify installation from PyPI works correctly
  3. Update documentation if PyPI link changes
  4. Announce release (GitHub Discussions, social media, etc.) - optional

All technical work complete. Only PyPI authentication required.