Every resume now reads the same. AI polish and keyword optimization have made it nearly impossible to distinguish who actually did the work from who described it convincingly. MPE exists because that problem has no current solution.
MPE is a forensic capability evaluation engine built for recruiters and executive search professionals. Paste a job description. Upload a resume. MPE extracts the real capabilities the role demands — not keywords — then examines every claim in the candidate's history against the evidence that supports it.
The output is a forensic capability report: each capability scored on the Dreyfus proficiency model (Novice through Expert), grounded in verbatim evidence citations pulled directly from the resume. Where evidence exists, the candidate is rated. Where claims appear without supporting proof, MPE flags them. Where the role demands something the candidate never addressed, that gap is visible.
This is not keyword matching. It is not AI screening. MPE does not decide who to hire. It gives the recruiter a structured, evidence-based evaluation that answers one question: does this candidate's record prove they can do what this role requires?
The methodology:
— Role DNA Extraction: AI deconstructs the job description into its core capability requirements, decision scopes, and autonomy levels.
— Multi-agent forensic pipeline: Six specialized AI agents examine the resume independently, cross-checking claims against evidence, flagging recycled language, and scoring each capability.
— Dreyfus Proficiency Scoring: Every capability is scored L1 (Novice) through L5 (Expert) based on demonstrated evidence, not self-reported skill labels.
— Execution Risk and Readiness: The report surfaces domain gaps, confidence levels, and structural blind spots no traditional review would catch.
MPE is built and operated by EvolveThinking. The engine is live at mpe-copilot.com.
Meritum Probatum Est — Merit Has Been Proven.
