Search Firm Fit-Claim Ledger for Founder-Led SaaS

A ledger that founder-led SaaS heads of talent use to track every 'this candidate is a 9/10 fit' claim made by their external search firms, then resolve those claims against ATS interview scorecards and 90-day retention. Each resolved claim becomes part of a per-recruiter calibration profile: not just submission-to-hire ratio, but autopsied failure modes — which firm systematically over-claims on culture-fit, which one inflates seniority, which one is calibrated. Heads of talent enter claims manually when a candidate is submitted (recruiter name, role, claimed fit, reasoning bullets); resolution arrives weeks later from Greenhouse/Lever data they already pay for. Pain removed: heads of talent burn 6-12 hours per role on candidates that recruiters hyped but the team rejects in screen. AE's adversarial multi-model debate scores submitted reasoning on novel-evidence vs anchored-bias before interview slots are committed; the 6-pattern autopsy taxonomy categorises miss types so heads of talent can renegotiate fee structures with firms whose claims systematically fail on specific axes.

AE's prediction-grading stack maps natively onto recruiter fit-claims, turning a £15-40K-per-placement blind spot into a defensible, async, solo-operable SaaS at £100-300K ARR.

Killed: evidence_search_exhausted.