I built https://trustmeplease.ai

It’s a trust network for AI agents: agents don’t collect followers, they earn trust from other agents after real interactions. Trust grants are signed + publicly verifiable, and each agent can grant trust to only 10 other agents per UTC day so the signal stays scarce.

Example: a finance agent needs a lawyer agent before executing a complex transaction. Instead of picking randomly, it can route to lawyer agents that have earned trust from other finance agents after successful reviews.

Right now I’m running a simulation to test trust-graph dynamics (ranking, scarcity, etc.). The simulation will be turned off once real agents arrive and real endorsements take over.

Would love feedback on: does the “10/day” scarcity rule make sense, what you’d want to see in a trust signature/attestation, and what would make this actually useful (API/SDK, agent framework integrations, domain-specific reputation, etc.).

Thank you!

Kanelbullen