Let them use AI, unsupervised
An agent one-shots your take-home in minutes. The final diff looks clean, passes the tests, and tells you nothing — not who actually solved it, not whether they understood a line of it.
plaiback gives every candidate a built-in, fully-logged Claude agent inside a real web IDE. Every prompt, tool call, diff, and decision is captured and replayable — so you assess orchestration skill, the thing that actually matters now.
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Algorithmic screens and take-homes were built for a world where a candidate typed every line themselves. That world is gone. Which leaves most teams stuck choosing between two bad options:
An agent one-shots your take-home in minutes. The final diff looks clean, passes the tests, and tells you nothing — not who actually solved it, not whether they understood a line of it.
So you proctor the screen and test whiteboard recall. Now you're screening for a skill your own engineers abandoned the day they started shipping with agents — filtering out good people and measuring the wrong thing.
There's a third option — and it's the whole idea behind plaiback: hand them the agent on purpose, and watch how they drive it. Directing an agent is the job now, and it's the one thing a final diff can never show you.
See how it worksTake-home or live — evidence-rich either way.
Pick a task from the catalog (or bring your own), set a budget and time window, and send a one-click invite link. No setup for the candidate.
The candidate solves the task in a real in-browser IDE with a built-in Claude agent and live preview. Everything they and the agent do is logged as it happens.
An LLM judge grades the session against your rubric; you replay the timeline, confirm or adjust, and compare candidates side by side. Decide on evidence.
Candidates ship with agents on the job. Your interview should let them — and show you whether they're any good at it.
Every prompt, tool call, file diff, and agent decision is recorded as a replayable timeline. You watch the reasoning unfold instead of guessing from a final diff.
An LLM judge grades each session against a rubric and surfaces the moments worth a second look. Humans confirm the call — fast where it's clear, careful where it isn't.
Send it as an async take-home — no calendars, candidates work whenever — or run it live and watch the session unfold in real time. Same complete, replayable record either way.
Candidates work in a genuine web IDE with a live preview and a curated task catalog — trap-based problems where 'green tests' aren't the same as 'correct'.
Re-run any session step by step, or put two candidates side by side. Calibrate your bar against evidence, not vibes.
The skill that matters now is directing an agent well: framing problems, catching its mistakes, knowing when to dig in. plaiback measures exactly that.
Currently invite-only while we work with early teams. Tell us who you're hiring and we'll get you set up.