The undetectable
AI interview copilot.

TalkFlow listens to your interview call, transcribes it in real time, and hands you a sharp, personal answer in a private overlay your interviewer can't see. Never fail another interview question.

Download for Mac Watch it work

Plans from $9.99/week. Universal Apple Silicon + Intel · Windows 10 / 11

Zoom · Senior PM interview LIVE · 18:42

Sharing your screenYou

Maya · Hiring Manager

TalkFlow Hidden from share

Maya · Hiring Manager

Drafting answer · 1.4s

resume.pdf screen context role brief

One clear answer, grounded in your real experience. Live in-page product simulation.

More than interviews.

Voice notes

Dictate a thought any time — transcribed instantly and saved with your sessions.

Text-to-speech

Any note or answer read aloud in a natural voice — listen instead of reading.

Meeting recorder & notes

Record whole meetings — speakers labeled, structured notes written for you.

Sits quietly on top of the tools you already interview in

How it works.

Ready before the first hello.

Three quiet steps turn TalkFlow into a copilot that already knows your story.

STEP 01

Prep once

Drop in the role, your resume, and the examples you want to lean on. TalkFlow builds a workspace that sounds like you.

STEP 02

Listen live

Start your call. TalkFlow transcribes both sides, labels who's speaking, and pins the real question the moment it lands.

STEP 03

Answer in flow

Glance at the opening line, use the proof points underneath, and keep talking. No tab switching, no dead air.

Real-time transcription.

Transcription that keeps up.

Speaker-aware, punctuation-clean transcription of both mic and system audio — streaming in with near-zero lag, so the exact question is captured word for word before you even finish hearing it.

Captures both mic and system audio, so you never miss the interviewer
Speaker labels tell you and them apart automatically
Live waveform so you always know it's listening

Start / stop anytime with ⌘⇧R

Live transcript⌘⇧R

Recording02:14

InterviewerSo walk me through a time you had to make a call with incomplete data.

YouSure — one that comes to mind is the Atlas onboarding launch…

InterviewerAnd what did the data end up telling you there?

Default mic ▾ System audio ■ Stop

Instant answers.

The right words, on cue.

The second a question lands, TalkFlow drops a confident opening line, then structures the rest — situation, action, result — using your real resume and role brief. You read it in a glance and say it in your own voice.

A usable first sentence in seconds, then the supporting proof
Behavioral, product, sales, case, and system-design modes
Every answer is grounded in the context you loaded — never generic

Ask on demand with ⌘⇧C

TalkFlow · Answer⌘⇧C

AnswerHistory

Q Tell me about a time you used data to change the direction of a product.

Answer ready · STAR · grounded in resume.pdf

Lead with the activation drop you caught in the Atlas launch. “Our onboarding redesign looked like a win — until cohort data showed activation fell 11% for smaller teams.”

S — Launch metrics hid a segment-specific drop.
A — Paused rollout, interviewed 12 users, simplified permissions.
R — Activation recovered +18% within three weeks.

resume.pdf role brief Copy

Invisible by design.

They see the call. You see the copilot.

TalkFlow's overlay is rendered outside the shareable window layer, so it stays out of screen shares, recordings, and screenshots. When you share your screen, they see your work — never your copilot.

zoom.usMeetingEditViewWindow 9:41

Zoom · Senior PM interview · 18:42

Maya · Hiring Manager

Mute Video People End

TalkFlow● LIVE

Maya · Hiring Manager

“Tell me about a time you used data to change a product's direction.”

Live coding & assignments.

Reads your screen. Solves the problem.

Stuck on a live coding round or a take-home shared on screen? Capture the exact window and TalkFlow reads the prompt as vision context — then walks you through the approach, the edge cases, and the working code.

Pick a single window to attach — nothing else is captured
Understands code, diagrams, case prompts, and shared slides
Explains the reasoning so you can talk through it, not just paste it

Attach a window screenshot from the answer panel

TalkFlow · Coding help

Attached: CoderPad — “Two Sum · shared window”

# O(n) with a hash map
def two_sum(nums, target):
  seen = {}
  for i, n in enumerate(nums):
    if target - n in seen:
      return [seen[target - n], i]
    seen[n] = i

Say this: “I'll trade space for time — one pass, storing each value's index in a map, and check for the complement as I go. That's O(n) time, O(n) space.”

Works where they test you

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