# ForScience

- **Event:** [OpenAI Codex Hackathon](https://cerebralvalley.ai/e/openai-codex-hackathon)
- **When:** Thu, Feb 5 at 9:00 AM – 9:00 PM (PST)
- **Where:** Location TBA
- **Team:** [Viraj T](https://cerebralvalley.ai/u/tunedgradient)
- **GitHub:** https://github.com/vrtnis/patent_sci_workflow
- **Demo video:** https://youtu.be/eyTvdJUWwP8
- **Gallery:** https://cerebralvalley.ai/e/openai-codex-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openai-codex-hackathon/hackathon/gallery/40

patents are packed with methods, but they’re written like legal mazes. patent workflow compiler is an open-source tool that compiles patent-style technical text into a structured scientific workflow: ordered steps, extracted parameters with ranges and units, and  packaged as json plus a human-readable report and diagram. 

for researchers, it turns dense prose into a machine-usable protocol and flags what patents often leave underspecified, like missing units

for developers, it’s a regression-tested extraction pipeline where every new weird pattern becomes a fixture. it generates edge-case packs on demand, runs ci, and uses trace-driven fixes in isolated worktrees so edge cases steadily become permanent regression tests. 

it was built in the codex app using parallel agents and worktrees, which made it fast to generate fixtures, debug failures, and merge clean diffs back to main.

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