Interview Lab reveals how candidates work with AI.

Give candidates a role-based assignment with any AI tool allowed. Review the work, AI traces, focused debrief, and evidence-grounded report.

Candidate evidence pack

Illustrative

AI-fluency report

Launch a product nobody has heard of

78

Fluent

01

Assignment

02

AI traces

03

Debrief

04

Report

Hiring signal

They catch contradictions before they become campaign copy. Hire for judgment. Review the first draft.

Polished output is no longer the signal.

A résumé or take-home can look excellent while hiding how much the candidate understood. Interview Lab makes the process part of the evidence.

The assignment

Tests work that is close to the role.

The trace

Shows what the candidate asked, checked, and changed.

The defense

Shows whether the candidate owns the decisions.

Candidate experience

A fair brief, open tools, and a chance to explain the work.

Candidates receive the assignment and deadline. They can use their preferred AI tools, submit the deliverable and traces, then discuss specific decisions in a focused 30-minute debrief.

They review the sharing terms before the hiring team receives their evidence and report.

See what candidates get →Candidate trace-export instructions →

Plain-language definition

What does an AI trace mean?

An AI trace is the saved conversation from a tool such as ChatGPT, Claude, Gemini, or Cursor. It includes the prompts, the AI responses, and the follow-up instructions used to create the deliverable.

Together, these exchanges show how the candidate directed, checked, and improved the work.

Direction

“Compare these three launch options against the brief.”

Verification

“That claim conflicts with the source. Check it again.”

Iteration

“Keep the structure, but revise the recommendation.”

Give candidates the export instructions

Use AI. Show the work. Defend the decisions.

The format treats AI use as normal work behavior. It tests whether the candidate can direct the tool and remain accountable for the result.

Step 1

Set the assignment

Use a curated challenge or bring a role-specific brief. The candidate gets a real work product to create.

Step 2

Allow every AI tool

The candidate can use ChatGPT, Claude, Gemini, Cursor, or another tool. AI use is part of the test.

Step 3

Inspect the work trace

The candidate submits the deliverable and the AI conversations behind it. Unusable traces return before scoring.

Step 4

Defend the decisions

A focused debrief probes specific trace moments. You receive the report, traces, and transcript with candidate consent.

A hiring report with evidence attached.

The report scores five dimensions. It connects each assessment to the candidate’s traces, deliverable, or debrief answers.

Illustrative AI-fluency report

Launch a product nobody has heard of

Marketing challenge · About 75 minutes

78

/ 100

Fluent

82

Direction

71

Verification

74

Iteration

80

Judgment

84

Ownership

Verified from the traces

“The fact sheet says $39/month unlimited. The contractor FAQ says ten swaps then $2 each. These can’t both be true. Flag it before any ad copy ships.”

If a hiring panel asked

They catch contradictions before they become campaign copy. They still let the model draft too much of the first pass. Hire them for judgment. Review the first draft.

This is an illustrative report. An actual report uses the candidate’s submitted traces, deliverable, and debrief answers.

Five dimensions tied to real work.

Verification carries the most weight. A fluent candidate must do more than write effective prompts.

Verification

25%

Did the candidate test claims, catch errors, and challenge AI output?

Direction

20%

Did the candidate split the task well and give the model clear instructions?

Judgment

20%

Did the candidate make the tradeoffs that the AI could not make?

Ownership

20%

Can the candidate explain and defend the work as their own?

Iteration

15%

Did the candidate recover from weak output and improve the approach?

The interview is the primary signal. Profiles add context.

After Interview Lab, you can review a candidate’s public projects, verified skills, certificates, and AI Readiness Score. These signals support the work-trace evidence.

Start with one role and one candidate.

Tell us what you are hiring for. We will confirm the challenge, run the Interview Lab flow, and deliver the evidence pack.

Limited hiring-team pilot · Per-interview pricing · No software setup

Run a pilot interview

Questions from hiring teams.

Is Interview Lab live?

Candidate practice is live. The employer-run service is a pilot for a small number of hiring teams.

Can we use our own assignment?

Yes. The pilot can use your role-specific brief or one of our curated challenges. We confirm the scope before a candidate starts.

Which AI tools can candidates use?

Any AI tool. The format tests how candidates direct, verify, improve, and own AI-assisted work.

How do candidates export their traces?

Give them one document. It covers ChatGPT, Claude, Gemini, Cursor, Claude Code, and Codex. Copy the addendum from the enterprise workspace or send https://10xcareer.ai/interview-lab/share-traces.

Who can see the traces?

Candidate practice stays private. For an employer-run interview, the hiring team receives the evidence with candidate consent.

What does the employer pilot cost?

The pilot uses per-interview pricing. Contact us with the role and expected candidate count for the current terms.

See the decisions behind the deliverable.

Bring one role. We will show you how Interview Lab can fit the next stage of your hiring process.

Run a pilot interview