The résumé filter is dead.
We killed it.

Every résumé is now excellent.
A résumé can be generated — ability can’t.

So Talyn stops reading the résumé to decide. Every inbound candidate gets an adaptive AI interview — a real conversation and a live work-sample — and you get a ranked shortlist with plain-language verdicts and the verbatim evidence behind each one. Every candidate interviewed. Every verdict defensible. Zero senior-engineer hours burned.

Free to run a real role past your first candidates. No card. Or see a sample shortlist first.

The problem

The résumé was a proxy for capability. With AI, the proxy stopped working.

11,000

applications a minute. Far more than any team can read — so most are judged by a filter, or not at all.

LinkedIn, via The New York Times · June 2025
+45%

more applicants per posting than a year ago, written at machine speed. The pile grew; the hours to read it didn’t.

LinkedIn, via The New York Times · June 2025
74%

of applicants used AI to write what you’re sorting on. A strong-looking résumé no longer tells you anything.

Greenhouse · 2025 AI in Hiring Report

It was always a description you couldn’t verify, from someone with every reason to write it well — a workable proxy only while a strong résumé was hard to produce. That world ended in 2023.

Now any candidate can generate a polished, keyword-matched résumé in a minute — and three in four do. The candidate didn’t cheat. The document just stopped meaning anything. A filter that sorts on the résumé is sorting on prompt quality — and the people it cuts are the ones who spent their time getting good at the work instead of describing it.

A résumé can be generated.
Ability can’t.

A résumé tells you who’s good at describing the job.
The interview tells you who’s good at doing it.

Talyn doesn’t read the résumé to decide.
It reads it to ask sharper questions — then watches what the person does.

The screen, replaced

Know who can do the job the moment they apply.

200 people apply. 60 can do the job. A résumé filter can’t see which. Talyn interviews every one of them on the real work, inside the application, and sorts them against a bar you set — instantly, with no technical interviewer involved.

Same 200 people — one posting’s first week — sorted two ways. Compare the two pass boxes.
Can do the jobCan’tLeft = screened out · right = passed
Traditional résumé filter
Sorts on the résumé — and the résumé is generated now.
40 false negatives
Green on the screened-out side: can do the job, cut on paper
40 false positives
Red on the passed side: can’t do the job, passed on paper
← Weaker résuméStronger résumé →
Time to signal
Weeks 2–4
60 reach interviewers, one calendar slot at a time.
20qualified, reaching you40can’t do the job — 40 h of interviews40could do the job, never seen
Talyn Adaptive AI Screen
Measures the work, then sorts against your bar.
18 false negatives
2 misread at the bar; the rest sit under the bar you set
3 false positives
Interviewed well, can’t build. Raise the bar and they fall out.
← Weaker on the workStronger on the work →
Set your hiring bar
Time to signal · Balanced
Same day
45 reach interviewers; 155 screened out instantly. No scheduling.
42qualified, reaching you3can’t do the job — 3 h of interviews18could do the job, under your bar
Set it once; it learns the rest. Every hire or rejection your team records nudges the bar toward your standard. Calibration stays inside your organization.IllustrativeNot a customer result.

The filter guesses. The interview knows.

Every applicant gets a real technical interview the day they apply. Your technical interviewers only ever meet the people who already proved it.

The save

The best engineer you’ll hire this year is the one your résumé filter just threw out.

Somewhere in your “no” pile is a senior engineer with a two-year gap and a chip on their shoulder. A non-traditional path. A thin-looking résumé. The kinds of candidates naive filters reject to ration a recruiter’s time. Talyn interviews them anyway — and when it finds real signal, it puts the save front and center.

◆ RECOVERED

Cut for a two-year gap by every résumé filter. The interview found senior-level signal instead.

The interview

A rubric can’t tell a bad answer from a bad day.

A fixed screen asks everyone the same questions and scores them the same way, so it has no way to separate the candidate who doesn’t know from the one who started badly. It has to be blunt. Talyn’s interview follows what the person actually says — pressing harder when they’re cruising, offering another angle when an answer is thin, and stopping once more questions stop changing the verdict.

What comes back is an assessment shaped to the person, not a score they happened to land on — and every adjustment is logged with the reason it happened. The candidate never sees the mechanism; you see all of it.

Escalate

When a candidate is cruising, the work-sample gets harder — a deeper version of the same problem, tighter constraints. Depth beyond the question’s scope raises the bar, and the log records why.

Lifeline

When an answer is thin, the interview offers another angle — same warmth, same phrasing as an escalation, so no one can tell which way they just moved. A recovery counts. A third thin answer doesn’t.

The same adjustment is why candidates finish it.

Everyone who applies gets a real conversation instead of silence, and an interview that meets them where they are. That is the part your employer brand actually notices — and the reason the shortlist is worth having.

Nothing to schedule

They interview the moment they open the link. No calendar ping-pong, no waiting a week for a slot that suits four people.

No one-way video

No recording yourself for a camera with a countdown running. A conversation, written or spoken, and one piece of hands-on work.

Getting stuck isn’t the end

A thin answer earns another angle at the same problem — phrased exactly like an escalation, so nobody can tell which way they just moved.

Short, and no long silence

Not four unpaid hours on a Saturday. Most runs close inside fifteen minutes, and there’s no pile to wait behind — the verdict is ready the day they apply.

They tell you how it went — and you can change it

Every candidate is asked at the end whether that was a fair way to spend their time. Answers are anonymous and pooled before you see them, which is what keeps them honest, and they land on the role as good · mixed · poor with whatever they wrote. The settings that produced them are yours: the bar, the format, the length, the interview itself — changed in plain English, before the next cohort arrives.

63%

of job seekers have already faced an AI interview. Most haven’t had a good one.

Greenhouse · 2026 candidate AI interview report
8%

of job seekers call AI in hiring fair — while 70% of hiring managers trust it to decide.

Greenhouse · 2025 AI in Hiring Report

How Talyn screens people without becoming the filter it replaces →

The capacity

Interview all of them. Spend none of your engineers’ hours doing it.

The reason companies reject on résumé is arithmetic, not belief: nobody has a hundred and fifty engineer-hours to give a first-round screen. Talyn removes the arithmetic. Every applicant gets a real, deep interview, and each one runs only as long as it takes for more questions to stop changing the answer — so the candidate who proves it early gets their evening back, and the one genuinely on the line gets the extra time it takes to be fair.

Ten applicants, one afternoon
Every interview ends the moment the verdict stops moving.
Clear passBorderlineClear noTime given back
015 min30 min45 min · fixed screen
Applicant 01
11 min
Applicant 02
8 min
Applicant 03
28 min
Applicant 04
13 min
Applicant 05
7 min
Applicant 06
23 min
Applicant 07
10 min
Applicant 08
9 min
Applicant 09
31 min
Applicant 10
12 min
A fixed screen
45min per interview

The same slot for everyone, whatever they showed — 7 h 30 across the ten.

Right-sized average
15min per interview

Clear answers close in about ten minutes; the one on the line gets thirty. 4 h 58 goes back to the candidates.

Your engineers
0min per interview

Per interview, and in total. They read the shortlist, and nothing before it.

The marker is the point where more questions stopped changing the verdict. That is what ends the interview — not a timer, and not a question count.

illustrative
The shortlist

A verdict so well-documented it argues for itself.

You won’t re-review a single candidate. Ranked rows, a one-line verdict naming the bar they cleared, and a click-to-open log of every escalation and lifeline. Rejections that hold up under scrutiny — evidence, verbatim, on demand.

A. RiveraSTRONG PASS

Cleared Screen Hard. Escalated twice; held up through both with senior-level depth.

Answer showed depth beyond scope → task escalated (candidate cruising)
Escalated task completed under harder constraints → escalated again
Passed at the Screen Hard bar.
The moat
Where it sits

You are not replacing your ATS.

Talyn is the step between “applied” and “worth an engineer’s hour.” A link goes out with your job post; a shortlist comes back. Hiring managers read a verdict and its evidence on a shared link without an account, so nothing about your existing pipeline has to move.

IN

Paste a job description. Talyn builds the screen and gives you a careers link to post anywhere you already post.

DURING

Candidates interview when they open the link. Nobody schedules anything.

OUT

A ranked shortlist, and a shareable verdict link per candidate for the hiring manager who has no account.

Machines take the floor.
Humans take the ceiling.

Talyn does the screening no one has time to do by hand, and hands the judgment back to a person — with the full picture, not a score.