Interviews that look like the job.
Run live coding, system design, and screening rounds in a sandboxed environment. Allow AI when you want to see how candidates work with it. Your team makes every decision.
Illustrative product screen with sample data.
Everything is recorded.
Replay the session file by file, with prompts, tests, and token usage.
AI only when you allow it.
Off, ask-only, or agent. Change it live. Candidates are always told.
People decide.
Scores come from your interviewers. AI only summarizes.
Puzzles don't show how people work.
Engineers work in real codebases, with real tools, and now with AI. An interview should show that, and give you evidence you can review and discuss as a team.
| Aspect | A typical interview | In Eyrie |
|---|---|---|
| The task | An isolated puzzle | A real codebase with tests and a database |
| AI and tools | Banned, or used where you cannot see | Your rules for AI, with every prompt recorded |
| Evidence | Notes and memory | A replayable session with diffs and test results |
| The decision | Gut feel | Blind scorecards and a side-by-side debrief |
The task
An isolated puzzle
A real codebase with tests and a database
AI and tools
Banned, or used where you cannot see
Your rules for AI, with every prompt recorded
Evidence
Notes and memory
A replayable session with diffs and test results
The decision
Gut feel
Blind scorecards and a side-by-side debrief
One room for the whole conversation
Video, a shared VS Code workspace, a terminal, and a resume viewer that only interviewers see. Add Postgres and Redis when the task needs a real database.
- No installs for candidates
- Pause, extend time, or send a hint without leaving the room
- Interviewers watch the candidate's workspace read-only
Allow AI on your terms
Choose off, ask-only, or agent for each interview and change it while it runs. You see every prompt, every tool call, and the tokens and cost they used.
- Candidates are told whenever the mode changes
- Set a token budget for each session
- The AI review is a summary with evidence, never a hire score
Design interviews without a sandbox
A shared whiteboard and notes pane, with a rubric for requirements, data model, scaling, and trade-offs. Sessions start instantly because there is no environment to build.
- Board snapshots appear in the replay
- Freeze the board when time is up
- Export the final diagram
Interview on your own codebase
Upload a project or start from a base environment. Eyrie builds it, checks that the tests behave as expected, and only then lets you publish. Hidden tests stay outside the candidate's environment.
- Versioned, so edits never change a scheduled interview
- Private to your organization
- Preview it exactly as a candidate would
See how they got there, not just the answer
Scrub through the session and watch the code, terminal, prompts, and test runs unfold. Totals for tokens, cost, and tests sit at the top of the results page.
- Unusual activity is shown as information, never a verdict
- Add notes at any timestamp
- Optional strict mode locks the workspace if a candidate leaves it
Decide together, with evidence
Interviewers score on their own first, so nobody anchors on the loudest voice. The debrief shows every score per rubric item, highlights disagreements, and links straight to the replay.
- Written descriptions for every score level
- Calibration reports for admins
- A person always records the final decision
Screen at volume without losing the human.
Run a campaign for a role and invite candidates in bulk. You choose the kind of round that fits.
Async take-home.
Candidates work in a timed sandbox at any time in your window. Hidden tests grade the code automatically.
AI spoken screen.
An AI asks the same structured questions of every candidate. Candidates are told it is an AI and can ask for a person or type their answers.
Human-led screen.
A short live interview with one of your team, for roles where you prefer a conversation.
Every advance or reject is recorded by a recruiter. AI suggestions are labeled as suggestions.
Learn more about screeningFrom invite to decision in four steps.
Create the interview.
Pick a template, set the AI mode and token budget.
Invite the candidate.
Send one link. Candidates join in the browser.
Interview together.
Talk on video, watch the workspace, and adjust the session live.
Review and decide.
Replay the session, score the rubric, and decide as a panel.
People decide.
AI assists.
Eyrie never rejects a candidate and never produces a hire score. When AI is used, candidates are told, and a person reviews the result.
What AI does
- Helps candidates, only when you allow it.
- Summarizes a session with evidence for you to check.
- Asks structured questions in an AI screen, with a human alternative.
What AI never does
- Reject or advance a candidate.
- Judge voice, accent, tone, or appearance.
- Analyze faces or use webcam data.
Built for code you do not trust.
Read about securityA separate sandbox for every session.
Each candidate works in an isolated environment that is destroyed when the session ends. Outbound network access is limited.
Keys never enter the sandbox.
Your AI provider keys stay on the platform. The sandbox only holds a short-lived token for that one session.
Hidden tests stay outside.
Grading runs from the platform against a snapshot, so a candidate cannot read the answers.
Consent before recording.
Candidates see what is recorded and what signals are collected before they start, and their consent is saved.
Preparing for an interview? Practice in the same environment.
Try realistic rounds in the same workspace candidates use in real interviews. Free, with daily limits.
Pricing by sessions, not seats.
Starter
Try Eyrie with a small monthly allowance.
Team
Custom codebases, whiteboard, and panel scorecards.
Business
Screening campaigns, strict mode, and calibration.
Enterprise
Volume, SSO, and a dedicated contact.
A session is one candidate in one room. Candidates never pay.
See full pricingRun your next interview in Eyrie.
Start on the free plan, or talk to us about your hiring process.