Built for high-volume applicants
Write your achievements once, into a permanent Story Bank. That one bank tailors every screening answer, rehearses you before the interview, scores your resume against the posting, and drafts your outreach — one source of truth instead of four disconnected tools that don't know what you told the last one.
No card required · 5 free generations every month
Screening question
"Tell us about a time you shipped something under a tight deadline."
"At Northwind, our checkout redesign was due in 9 days when the payments vendor changed their API without notice. I re-scoped the integration, paired with backend for two days straight, and shipped on time with zero downtime—processing $40K in orders the first day live."
This story was already used for Google · Senior PM, 12 days ago. Consider a different one for this application.
See it in action
Captioned, no sound needed.
The other side of the desk
Mass-applying with AI got easy for candidates and exhausting for the people reading the results. That backlash is now measurable — and it's exactly why a grounded, specific answer beats generic AI volume, not the other way around.
11,000/min
Applications submitted to LinkedIn every minute at peak, a growing share machine-written at scale.
eWeek, 2026 →91%
of recruiters say they've spotted candidate deception — scripted answers, hidden prompt injections, fabricated history.
Greenhouse, 2025 AI in Hiring Report →67%
of HR leaders say reviewing AI-generated applications has slowed their own hiring process down.
Robert Half survey, Mar 2026 →Story Bank was built for this shift, not against it. Every answer traces back to a real achievement you wrote yourself, so it reads like you and holds up under a follow-up question — instead of adding to the pile recruiters are actively learning to filter out.
The Moat
The real risk when you're moving fast isn't running out of material — it's a hiring manager at the same company recognizing your third-round answer as your first-round answer. Story Bank flags a repeat before you submit, so you're never digging through six months of application history to remember what you already told this recruiter.
The Practice Round
Rehearse a real, adaptive mock interview grounded in the actual job posting. Answer out loud or type it — the AI interviewer asks a natural follow-up when your answer runs thin, the way a real one would, instead of moving on and letting it slide.
At the end you get an honest report, not encouragement: a readiness score, what actually worked, what didn't, and whether this posting is asking for something your story bank has nothing for yet. That gap gets logged automatically — so the next story you write closes it, instead of you finding out live in the real interview.
Follow-up on Q3
"You said the migration went smoothly — what actually broke along the way, and how did you catch it?"
Feedback
Stronger — naming the failed rollback and the monitoring alert makes this concrete. Lead with that detail next time instead of "it went smoothly."
Rehearsal report
Solid overall — one gap flagged: incident response
8/10
The Toolkit
Stop digging through old resumes and cover letters at 11pm. Centralize your STAR-method achievements once, in one secure vault — or extract them straight from a resume upload or a voice recording — and draw from them for every application after.
Anthropic-powered drafting reads the actual job posting and maps your real career facts onto its language and keywords — not a generic mad-lib with the company name dropped in.
Also comes with your bank — same stories, no extra setup
A match score and the honest gaps — no story bank required to try it.
Cold notes and quiet-application nudges, grounded in one real story, not a template.
Weekly nudges confirm a story still holds up, and flag gaps before an interviewer does.
Questions in the local language still draft cleanly from the same bank.
Pick who's grilling you before a mock interview starts — each persona pushes back differently.
Hand it the actual offer, competing offer, and target — get a script drafted around them, not a generic guide.
Weigh every offer with a cost-of-living adjustment, so the biggest number doesn't automatically win.
Send a story for a trusted second opinion, or share a mock-interview score — feedback comes back private.
Pricing
That's less than a single tank of gas for driving to interviews you're better prepared for.
Free Sandbox
$0/mo
Ideal for testing the workflow before you commit.
Pro · Best value
$17/mo
For anyone applying at real volume, every week.
≈ 0.03% of a $60K salary. One extra callback pays for a year.
Before you ask
Every answer we generate is logged against the company and the story it drew from. Before drafting a new answer, Story Bank checks that history and flags any story you've already used at that same company — so you can deliberately choose a different one instead of repeating yourself across rounds or roles.
Every fact in the answer is your own, real achievement — the story you wrote into your bank. The AI's job is formatting and matching that fact to the question and the job posting's language, not inventing an experience you didn't have. What you submit is your story, written clearly.
Checkout is billed in USD through Dodo Payments, which supports cards, Apple Pay, and Google Pay from anywhere Story Bank is used. Dodo acts as merchant of record, so tax and compliance are handled on their end, and your subscription is tracked cleanly against your account regardless of which country you're billed from.
The questions come from the actual job posting you're prepping for, not a generic bank, and it pushes back with a real follow-up when an answer runs thin instead of moving on. The end-of-session report is scored honestly — it will tell you a session went poorly if it did — and any competency gap it finds gets logged back into your story bank automatically, so the practice round produces something permanent even when the interview itself is rough.
