Interview Story Evidence

Tell your assistant what you want to check and provide the actual relevant materials. It prepares the structured records and asks for facts that affect the result.

Help me turn these real work experiences into concise interview stories without inventing results.

Map my stories to this interview’s competencies and give me follow-up questions where my personal contribution is unclear.

You receive a readable report, detailed records and a preserved input snapshot. Map user-confirmed experience fragments to situation/task/action/result/learning and competency IDs. Track personal versus team attribution, dates, quantities and missing result evidence; score coverage/completeness only, not hiring success. Produce questions for unsupported parts rather than filling them.

No invented adversity, clients or achievements to force a match. A competency mismatch is not a claim the candidate lacks that competency. No interview outcome guarantee.

Runs locally with Python 3.10+ standard library; no paid data key or MochiLab backend account is required. Optional extraction and explanation use your current agent model under its existing service terms. No automatic messages, applications, account changes or notifications.