Reality-Resolved Judgment Calibration for Boutique Research Firms

A monthly calibration service for boutique research and expert firms that produce client-facing recommendations, market calls, vendor shortlists, policy views, or investment theses. Instead of pretending to 'reality-grade' a draft before outcomes exist, AE converts each delivered memo into a structured claim ledger: explicit predictions, assumptions, confidence statements, disconfirmation triggers, and 2-8 week checkpoints. AE then runs its adversarial grading loop after those checkpoints resolve, producing objective pass/fail scoring plus six-pattern autopsies such as Premise-Conclusion Severing, Concession Laundering, and Temporal & Transmission Blindness. Over time the firm gets a judgment-quality dashboard by analyst, topic, and claim type, along with concrete editorial contract updates to reduce repeat failure modes. An optional pre-delivery step can flag untestable claims or missing checkpoints, but the core product is post-delivery reality resolution and learning, not LLM-style memo critique. The buyer is paying for measurable calibration of their firm's judgment engine, which directly supports renewals, referrals, and analyst development.

AE is compelling because it turns boutique research firms’ biggest hidden weakness—unmeasured judgment quality—into a reality-resolved, repeatable calibration system tied to actual outcomes.

Engine verdict: GATHER_MORE_SIGNAL (WORTH_SKIMMING). Promising white-space service, but no proof firms will share memos or that enough claims resolve fast enough for recurring spend.