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Hiring at volumeA first-round interview for everyone who applies.
Technical interviewsA coding task, then a probe on the trade-offs.
Customer researchDiscovery calls, concept tests and win-loss interviews.
People teams30-day check-ins, engagement and exit interviews.
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Tracy AI Interviewer
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The whole interview, from brief to evidence.

Tracy AI Interviewer sets up the questions, runs the interview on video, follows up in the person’s field and hands you a result you can check.

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Set upStartInterviewFollow-upCodingResultLanguageIntegrityConnect
01 · Set up

Questions from your brief

Tracy drafts questions from the job description or your brief. Edit them, replace them with your own, and set the style from quick to deep and from behavioural to technical.

  • CV check adds 3 to 5 questions from each CV and the must-haves
  • Skills to evaluate, chosen as tags
  • One interview language, chosen at setup
New interview · Senior data engineer, paymentsDraft
Tracy
InterviewsResultsQuestionsInvitesSettings
The brief
We need someone who has scaled a ledger or payments database, can reason about consistency, and has owned an on-call rota.
Questions Tracy drafted
CV checkEnglish
01Walk me through the index you chose for your largest table, and why.System design
02Tell me about a time a migration went wrong in production.Ownership
03How do you keep a ledger consistent when a payment provider retries?Consistency
04Your CV mentions Kafka at Northwind. What did you change in the consumer?CV check
QuickDeep
BehaviouralTechnical
02 · Start

Three ways in

Send a personal invite, publish an apply page, or let your own system ask for an interview and hand the person the link.

  • No install for the person being interviewed
  • Ready in under 10 seconds, at any hour
  • People are told about the recording before it starts
Three ways to start an interview
1 · Invite link
A recruiter sends a personal link.tracyinterview.ai/i/7Q2-…
2 · Apply page
Applicants start from a public page.A few basic questions, then the interview.
3 · Your system
Your platform asks for an interview and hands over the link.Through the API or MCP.
03 · Interview

A two-way video interview

Tracy speaks, listens and answers questions about the process. The interview is recorded on both sides, with a transcript timed to the recording.

  • Rejoin the same session within 10 minutes
  • A microphone check before the first question
  • A reminder goes out after a day for unfinished interviews
Senior data engineer · Interview 14Live 04:12
Blurred example
Nina
TRACY
TRACYFollow-up

How much faster were reads, and what did it cost you on writes?

Recording · transcript onNo tab changes · Face in frame
04 · Follow-up

She waits, then asks the next question

Tracy waits for the end of a thought, about half a second on simple questions and up to about two seconds on hard technical ones, and checks the thought is complete. Then she asks about what was actually said.

  • Each follow-up depends on the answer before it
  • A vague answer gets a sharper question
  • No cutting people off mid-sentence
Transcript · Interview 14Live 06:40
Tracy
InterviewsResultsQuestionsInvitesSettings
QuestionTell me about a system you scaled.
AnswerWe moved the billing service to a queue.
Follow-upWhy a queue and not batching?
AnswerBatching hid failures until the end of the day. With a queue each payment fails on its own.
DeeperLayer 3What broke first when the volume doubled?
Waiting for the end of the thought · longer pause allowed on hard questions
05 · Coding

A coding task, then the trade-offs

For technical roles Tracy can introduce a coding task and probe the trade-offs behind the answer: memory, failure modes, what breaks at scale.

  • Questions about the code that was written
  • Follow-ups that test the reasoning, not recall
Coding task · Remove duplicate eventsLive 18:05
1def dedupe(events):
2 seen = set()
3 out = []
4 for e in events:
5 if e.id in seen:
6 continue
7 seen.add(e.id)
8 out.append(e)
9 return out
10
11# 2M events a day, ids are UUIDs
TracyThat works. The set grows with every event. What happens on day thirty?
TomaszMemory keeps climbing. I would keep a window of ids, or a Bloom filter.
Tracy · Follow-upA Bloom filter can say yes when the answer is no. Which events would you drop by mistake?
06 · Result

An assessment for every question

After the interview Tracy writes an assessment for each question with the reasoning behind it, plus an overall assessment. Warm-ups, notice period and salary questions are left out.

  • Every point links to the moment in the recording
  • The full transcript beside the video
  • Tracy does not reject anyone. A person decides.
Result · Nina Alvarez · Senior data engineerResult ready
Assessment per question
No tab changesOne screenFace in frame
Index for the ledger table

Chose the index from measured read latency, and named the write cost without being asked.

04:1204:51
A migration that went wrong

Owned the rollback. Gave the order of steps and what she changed in the runbook after.

09:30
Retries from a payment provider

Idempotency keys on write. Did not cover what happens when the key store is down.

14:02Gap to probe
04:12
04:09Reads were the bottleneck, so we went with a B-tree on account and date.
04:12About four times faster on reads. Writes slowed by a fifth.
04:20We accepted that because writes were batched overnight anyway.
07 · Language

Language skills, when they matter

For roles where spoken language matters, a separate evaluation covers fluency, coherence, grammar, pronunciation and vocabulary on a 0 to 100 scale.

  • Shown as a radar beside the transcript
Language evaluation · EnglishResult ready
FluencyCoherenceGrammarPronunciationVocabulary
0 to 100 per skillBeside the transcript
08 · Integrity

Signals with their evidence

Tracy captures signals during the interview: the face and where the person is looking, response timing, tab switching, leaving fullscreen, an external screen and repeated requests for a question. They are assessed together afterwards and the evidence goes to the reviewer.

  • Signals, not a verdict
  • Marked on the recording timeline
  • Nothing is decided during the interview
Integrity · Interview 22Review
Recording timeline · signals marked for review
Tab changeLeft the tab for 9 seconds during question 4.12:04 · watch
Long pause14 seconds before a polished answer to question 7.18:31 · watch
External screenNone detected during the interview.Clear
Face in frameOne face, in frame for the whole interview.Clear
FullscreenStayed in fullscreen.Clear
Repeat requestsAsked once for a question to be repeated.Noted
Signals, not a verdict. A person reviews the evidence and decides.
09 · Connect

API and MCP

Tracy runs as an MCP server, so a team can set up interviews, invite people and read results from Claude, ChatGPT, Mistral or Slack. A customer’s own system can request an interview through the API.

  • Nothing is sent until you approve the preview
  • Pair it with your ATS’s chat connector, such as Workable’s
  • Enterprise teams can ask for a customised setup
Chat · your AI assistant
List the shortlisted candidates for our Customer Success Manager job, then invite them to my Tracy interview. Show me before anything is sent.
Tracy AI Interviewer · invite participants
Ana Ruizana.r@example.com
Ben Okaforben.o@example.com
Chen Weichen.w@example.com
Approve and sendEdit
Nothing is sent until you approve. Results come back to this chat when each interview ends.
Which of them have finished?
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Tracy AI Interviewer

Video interviews that follow up in the person's own field, with evidence behind every result.

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