ReadinessGraph — Job-Seeker Evidence, Interview Simulation & Recruiter-Agent Handoff

The Problem

Hiring is becoming agentic faster than candidate preparation is becoming credible.

Recruiters are getting new AI tooling for:

• sourcing,
• screening,
• prioritizing hidden-gem candidates,
• and running faster pre-screen processes.

Candidates, meanwhile, are mostly using generic AI tools for:

• CV rewrites,
• cover-letter drafting,
• and broad interview practice.

That creates a structural mismatch.

Recruiters increasingly want machine-helped, evidence-rich, fast-to-evaluate candidates. Candidates increasingly produce polished but low-signal application material.

Most of the market does not have a system for:

• packaging candidate achievements into structured proof,
• testing candidates against realistic role-specific simulations,
• turning practice output into recruiter-readable evidence,
• or handing off candidate context cleanly into AI-assisted recruiter workflows.

The opportunity is to build the readiness and evidence layer that sits between candidate preparation and agentic hiring systems.