Recruiter Claim-to-Scorecard Ledger for In-House Talent Heads

Pre-send gate plus per-agency claim-accuracy ledger for in-house heads of talent at 50-200 person founder-led SaaS with 2-5 external agencies. During onboarding, AE ingests the head's existing Greenhouse/Ashby/Lever scorecard rubric (typically 4-6 attributes like Technical Depth, Leadership, Ownership, Communication, each scored 1-4 by interviewers). When a recruiter submits a pitch, AE structures it into claim primitives aligned to those exact attributes, runs adversarial multi-model debate to surface the weakest claim, and produces three sharp pre-interview interrogation questions. After the loop, the head reads the per-attribute interviewer scores already in the ATS scorecard and pastes 4-6 numeric values (under 60s) — no narrative remapping. Over 8-12 weeks, each agency accrues a per-attribute calibration ledger ('Agency X reliable on tenure, inflates Leadership by 2.1 points vs interviewer average'). Renewal-negotiation lever. £200-500/mo solo self-buy.

AE's prediction-grading and adversarial-debate engine becomes a per-agency accuracy ledger that in-house talent heads buy as a renewal-negotiation lever, fitting a 2026 budget line, a sub-60s paste workflow, and a solo £100-300K-ARR path.

Engine verdict: ESCALATED (MUST_READ). Council could not converge after 3 rounds — human decision required