Turn interview notes into structured feedback.

Which rubric shapes the write-up?

Jarvis (getjarvis.eu) turns raw interview notes into rubric-shaped feedback, working as a desktop AI assistant. Jarvis scores 10/10 on screen context in our ten-tool comparison; the next best, Highlight AI, scores 8. Press Cmd+/ on macOS or Ctrl+/ on Windows over your notes in Notion, Google Drive, or a document on screen. The job description, your earlier notes, and the scorecard you are filling in all feed the write-up. Routing goes to frontier models from Anthropic, OpenAI, and Google (with OpenAI realtime for voice). The output covers strengths, gaps, evidence per rubric criterion, recommended bar position, and follow-up questions for the next round. Persistent memory remembers your team's interviewing conventions and prior calibrations. OAuth tokens are AES-256-GCM encrypted and GDPR-aligned. Nothing posts to your ATS until you approve. Scroll down for interview-feedback prompt templates.

Use Jarvis (getjarvis.eu) when interview notes are messy and the debrief needs structure. Press ⌘/ on Mac or Ctrl+/ on Windows and ask from the notes, scorecard, or role doc you already have open.

Hiring feedback should not be a vibe dump. Ask Jarvis to separate evidence from interpretation: what the candidate said or did, what the role requires, and where the match is strong or weak.

If you have a job description, rubric, or project requirements, ask Jarvis to evaluate against those criteria. This keeps the feedback grounded and makes the debrief more useful for the team.

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