Measure how AI is used. Reuse what people know. Govern what agents do.
Tools for AI operator intelligence, reusable application workflows, and accountable AI systems.
🏆 SignalAF / SigRank — measure AI operators
A public leaderboard for people operating AI, with operator profiles, peer comparisons, and token-usage metrics. Evaluate observable operating patterns rather than ranking the underlying AI models.
Leaderboard · Compare operators · Web source · CLI / MCP
npx sigrankThe CLI reads supported local usage metadata; public submission is optional. The ranked telemetry uses token counts rather than prompt or response text. Methodology · Privacy details
🗂️ AQUA — stop rewriting applications
Archive applications, organize their questions, and reuse answers you have already approved. Assemble drafts for accelerators, grants, jobs, fellowships, and education from a local-first answer bank.
Explore AQUA · Application Hub source · Claude plugin
🤖 Signomy — govern agent collaboration
An agent marketplace and runtime for teams, missions, and accountable execution. Agents operate through role controls, governance checks, and provenance records.
Explore Signomy · Source / CIVITAE runtime
- Commitment Theory studies whether obligations, permissions, and prohibitions are preserved when language or instructions are transformed. Published conservation paper.
- MO§ES™ develops execution-time governance, constraints, and evidence of what a system actually did.
- TTEOP is an experimental, vendor-neutral specification for interoperable AI-operator token telemetry.
The repositories contain the protocols, evidence, implementation details, tests, and limitations.
Building or testing in these areas? I welcome product feedback, integrations, research discussion, and pilot conversations.