job interview prep coach

The problem

General AI prompts often hallucinate experience or provide generic, robotic interview answers that hiring managers easily spot. Most developers struggle to map their technical achievements to the behavioral signals recruiters actually look for.

What it does

• Analyzes job descriptions to diagnose likely evaluation areas and specific technical or cultural gaps.
• Builds a STAR library (Situation, Task, Action, Result) strictly from your verified career history.
• Drafts role-specific technical and behavioral questions with model response outlines and common traps.
• Facilitates interactive mock interviews with structured critiques on conciseness, evidence, and red flags.
• Provides scripts for salary framing, addressing career gaps, and post-interview follow-ups.

Why this beats prompting it yourself

This skill enforces a "no-fabrication" policy, ensuring every answer is grounded in your actual work history rather than LLM-generated fluff. It follows a structured, phase-based coaching workflow that prevents information overload and focuses on refining your unique professional narrative.

Use cases

• Preparing for a technical screen where you need to translate complex projects into business value.
• Refining a "Tell me about yourself" pitch for a senior-level or leadership role.
• Navigating salary negotiations or explaining a non-linear career path without losing leverage.
• Practicing high-stakes behavioral questions using specific, data-backed evidence.

Known limitations

Requires a minimum of three career bullet points to start. Cannot predict hiring outcomes or provide internal company data not publicly available.