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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.

No installs for candidates.
Interviewer live room interface showing candidate Priya Raman, live countdown timer, dark TypeScript code editor with transactional funds transfer, file tree, test results, and live controls.

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.

The task

A typical interview:

An isolated puzzle

In Eyrie:

A real codebase with tests and a database

AI and tools

A typical interview:

Banned, or used where you cannot see

In Eyrie:

Your rules for AI, with every prompt recorded

Evidence

A typical interview:

Notes and memory

In Eyrie:

A replayable session with diffs and test results

The decision

A typical interview:

Gut feel

In Eyrie:

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
Split panel showing candidate resume with highlighted bookmark and embedded database inspector with accounts schema and index scan query results.
AI telemetry control showing segmented mode selector set to Agent, token consumption progress bar at $0.31, list of recent prompts with files changed, and candidate notice.

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
Architectural whiteboard diagram showing Client, API Gateway, Order Service, Message Queue, Worker, Cache, and Postgres with sticky note and collaborative user cursors.
Template configuration card for Wallet service webhook handling showing published v3 status chip, automated 5-gate validation checklist, and Preview as candidate button.

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
Interactive session replay scrubber showing stat blocks for tokens, cost, tests passed, and prompts, with timeline markers and code diff preview.
Debrief scorecard table showing rubric scores across Interviewer A, B, and C with highlighted disagreement on AI usage and hiring lead advance decision.

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.

Campaign candidate shortlist table showing candidate names, round formats, test score ratios, session times, and human recruiter decisions.

Every advance or reject is recorded by a recruiter. AI suggestions are labeled as suggestions.

Learn more about screening

From invite to decision in four steps.

1

Create the interview.

Pick a template, set the AI mode and token budget.

Wallet serviceAsk-only
100k tokens · 60m
2

Invite the candidate.

Send one link. Candidates join in the browser.

Candidate join link
eyrie.io/join/tk_94f8
3

Interview together.

Talk on video, watch the workspace, and adjust the session live.

● Live 32:14
5m
4

Review and decide.

Replay the session, score the rubric, and decide as a panel.

Concurrency handling4 / 4
Consensus: Advance

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 security

A 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.

Candidate practice sandbox catalog listing available practice rounds with difficulty badges.

Pricing by sessions, not seats.

Starter

$0per month

Try Eyrie with a small monthly allowance.

Team

$149per month

Custom codebases, whiteboard, and panel scorecards.

Business

$449per month

Screening campaigns, strict mode, and calibration.

Enterprise

Custom

Volume, SSO, and a dedicated contact.

A session is one candidate in one room. Candidates never pay.

See full pricing

Common questions.

Run your next interview in Eyrie.

Start on the free plan, or talk to us about your hiring process.