Aggregate signals from Patent PreCheck scoring and USPTO corpus analysis. Published 2026-06-22. Directional statistics from anonymized free-tier analyze runs and corpus audit snapshots. Not legal advice or grant-rate predictions.
Key findings
of AI-assisted software modules score below our non-obviousness band on first pass — prior-art overlap is the dominant weak pillar.
fail eligibility on first score when the submission is primarily CRUD, dashboard, or generic API glue without a technical hook.
show weak human-conception documentation signals when builders paste agent output without design notes.
free scores surface a granted-patent or application match above 0.75 semantic similarity in the top-5 neighbors.
Corpus behind the scores
Patent PreCheck retrieval spans 1.05M+ active documents across 40+ implemented workers (patents, papers, code, standards). Daily scholarly backfill + weekly USPTO sprint.
Recommendations for builders
- Score the inventive module, not README marketing copy.
- Document rejected AI suggestions and benchmark-driven design choices.
- Run prior-art search before public launch — GitHub repos are §102 prior art.
- Use MCP/CI precheck in Cursor and GitHub Actions to catch weak pillars pre-filing.