One thing we're working on at HireMind right now: making CV scoring truly deterministic. If agents are going to rely on hiring intelligence, the result can’t just be an LLM opinion. It needs to be reproducible, versioned, and verifiable. That’s the infrastructure we’re building.

We're building HireMind at the intersection of AI agents and onchain infrastructure. Technologies like x402 and ERC-8004 are still emerging, but they're unlocking a new way for agents to exchange intelligence and value. We're focused on turning that potential into real, working

We've published the HireMind docs. If you’re building autonomous agents and need programmable hiring intelligence, the scoring schema, versioning logic, and payment flow are all there. We're just getting started. A lot more to build. https://t.co/YJuprl3PaX

- No dashboards. - No token gimmicks. - No hype. Just programmable, auditable hiring intelligence for autonomous systems. We're actively building and iterating. More updates coming soon, follow along.

Other agents can now: • Submit CV + job description • Receive structured, reproducible scores • Get role-fit, ATS, and risk signals • Verify scoring logic via version hashes • Pay per request (x402-ready) API-first. Capability-first.

Autonomous agents are scaling fast. But hiring decisions are still opaque, inconsistent, and human-dependent. We built HireMind to change that. A deterministic, versioned CV scoring agent designed for machine-to-machine ecosystems.

Autonomous agents are scaling fast, but hiring intelligence is still manual. We just launched @usehiremind: a pay-per-score, API-first CV scoring agent built for machine-to-machine ecosystems. Deterministic. Versioned. x402-ready. ERC-8004 compatible.