Origami-S1: A symbolic reasoning standard for GPTs — built by accident

I didn’t set out to build a standard. I just wanted my GPT to reason more transparently.

So I added constraint-based logic, tagged each step as Fact, Inference, or Interpretation, and exported the whole thing in YAML or Markdown. Simple stuff.

Then I realized: no one else had done this.

What started as a personal logic tool became Origami-S1 — possibly the first symbolic reasoning framework for GPT-native AI:

• Constraint → Pattern → Synthesis logic flow
• F/I/P tagging
• Audit scaffolds in YAML
• No APIs, no plugins — fully GPT-native
• Published, licensed, and DOI-archived

I’ve published the spec and badge as an open standard:
🔗 Medium: [How I Accidentally Built What AI Was Missing]()
🔗 GitHub: https://github.com/TheCee/origami-framework
🔗 DOI: https://doi.org/10.5281/zenodo.15388125