AI-Native Technical Assessment
AI makes every candidate look like they know what they're doing.
See who actually does.
Saffron replaces technical interviews with real AI-assisted work trials. See exactly how candidates prompt, build, debug, and ship.
Get Early AccessThe Problem
Technical interviews don't predict
job performance.
You already know this. Here's why the status quo fails.
Engineers use AI daily, interviews ban it
You're testing a world that no longer exists. Every engineer ships with AI — your interview should reflect that.
Puzzles test memorization, not judgment
Inverting binary trees says nothing about how someone architects a feature or debugs a production issue.
Take-homes are unstructured and unscalable
No standardization, no visibility into process, no way to compare candidates fairly.
Work trials produce best signal but are expensive
The best predictor of job performance is a work sample — Saffron makes it scalable.
How It Works
Set up in three steps.
Features
Everything you need to evaluate how candidates actually build.
Full observability into the engineering process.
Managed Sandbox IDE
Isolated cloud environment pre-loaded with your codebase and dependencies.
Integrated Claude Code
Candidates use AI the way they would on the job — monitored and measured.
Full Conversation Logs
Every prompt, response, and edit captured for complete process visibility.
Code Origin Tracking
Know which lines were human-written, AI-generated, or AI-modified.
AI Review Score
Automated scoring based on code quality, AI usage patterns, and problem-solving approach.
Configurable AI Constraints
Control what AI can access — full autonomy, restricted prompts, or no AI at all.
Time-Boxed Sessions
Set precise time limits. Candidates see a countdown; you see how they allocate time.
One-Click Invitations
Generate a unique link, send it to a candidate, and they're building in minutes.
Early Access
See how your candidates actually build.
Join the waitlist for early access to Saffron.