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Verification

Dive into verified AI portfolios, where automated prompt tracking meets developer credibility. Free for developers.

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⌘Cursor◈Kiro◉Claude Code⬡GitHub Copilot◆Windsurf⟐OpenCode✦Gemini CLI

GitHub tracks commits.
We track the intelligence behind them.

Every day, developers spend hours building with AI — crafting prompts, iterating with models, shipping features. The code lands in git. But the AI process that produced it? Gone. Invisible. Unverifiable. Qmmit changes that.

How it works

One command. Then forget about it.

01

Install

curl -fsSL qmmit.dev/install.sh | bash
qmmit login
qmmit init

Detects Cursor, Kiro, Claude Code, Copilot, Windsurf, OpenCode, and Gemini CLI. Installs git hooks. 30 seconds.

02

Build

git commit -m "feat: OAuth"
[qmmit] 8 prompts → a3f9c12
       confidence: HIGH (87%)

Post-commit hooks read AI session files, extract prompts, and match them to commits using file overlap, timing, and code similarity.

03

Ship

git push
[qmmit] synced 8 prompts
       profile updated

Pre-push hooks sync verified prompt-commit links to your public profile. Models, tokens, tools — all updated automatically.

Verification Engine

Prompt-to-commit matching

Every prompt scored against every commit using five weighted signals. Matches above 80% linked automatically.

35%

File overlap

Files active during prompting match files in commit

25%

Temporal proximity

Prompt within 90 minutes before commit

20%

Keyword match

Prompt terms in commit message or diff

15%

Code similarity

AI-generated code appears in diff

5%

Session continuity

Same session as prior matched prompt

// Match: prompt → commit a3f9c12
file_overlap0.92
temporal_proximity0.85
keyword_match0.71
code_similarity0.68
session_continuity1.00
confidenceHIGH — 84%
Platform

Everything you need. Nothing you do not.

AI Score

Composite metric (0-100) measuring verification depth, consistency, model fluency, volume, breadth, and efficiency.

Token Analytics

Track consumption across all models and tools. See spend per project, per session, per commit.

Model Attribution

Which models produced which code. Percentage breakdowns per project. Compare output quality.

Build Feed

Every commit becomes a shareable build card showing prompts, tokens, and tools. Public and linkable.

Team Dashboards

Aggregate AI usage across your team. Track adoption, identify best practices, measure ROI.

Privacy Controls

Local-first. Auto-redaction. Per-prompt visibility. AES-256 encryption. You own your data.

For developers

Free for developers. Paid for enterprises.

Students, solo developers, and open source contributors use Qmmit at no cost. Forever.

Students

Build your AI track record in school. Graduate with a verified profile.

Job seekers

Verified proof of AI fluency. Backed by commits, not claims.

Open source

Attribution for AI-assisted contributions across public repos.

Teams

Track AI adoption, token spend, and model usage at org scale.

Your next commit could be your first verified build.

Free for developers. No credit card. 30 seconds to set up.

Create AccountDocumentation