Screenshot of the Transparent job-fit matching and application workbench interactive demo
Screenshot of the interactive demo, on sample data

Transparent job-fit matching and application workbench

Reduce time spent on unsuitable applications while keeping the applicant in control of every submission.

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For
Job seekers and career coaches managing active applications across multiple roles
Solves
Job seekers apply to roles that do not fit their skills and lose track of applications, materials and follow-ups.
Delivers
Reviewed shortlist and application package linked to each role
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$13,500 for the MVP, $46,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce time spent on unsuitable applications while keeping the applicant in control of every submission.

  1. Import candidate profile, CV and work history.
  2. Analyze CV for skills and experience alignment.
  3. Connect authorized job boards and professional networks.
  4. Rank listings by fit with the candidate profile.
  5. Show similarity and multi-dimension fit scores per role.
  6. Highlight listing keywords against candidate evidence.
  7. Apply role-match gate filters to exclude unsuitable roles.
  8. Process many listings in batch.
  9. Tailor resumes to specific listings.
  10. Build ATS-friendly resume versions.
  11. Generate personalized cover letters.
  12. Suggest application material improvements.
  13. Schedule applications for chosen timing.
  14. Track applications and status in one dashboard.
  15. Build a reusable interview answer bank.
  16. Provide negotiation scripts for offers.
  17. Prioritize daily application tasks by deadline and importance.
  18. Compare the reviewed result with the recorded baseline and value assumptions.
  19. Capture corrections and named-owner approval before consequential use.
  20. Export a versioned reviewed shortlist and application package linked to each role with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Candidate profile
  • Work history
  • Target criteria
  • Authorized job listings

AI drafts, people review. Transparent opportunity matching and shortlist platform.

What the customer gets
  • Reviewed shortlist
  • Application package linked to each role
02

How it works

The workflow

  1. In
    Start with

    Candidate profile, work history, target criteria and authorized job listings

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect candidate profile

  4. 3

    Work history

  5. 4

    Target criteria and authorized job listings

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed shortlist and application package linked to each role

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One authorized job-board source and one candidate profile format; final application submission and factual claims remain applicant-controlled. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Candidate profile and criteria, Ranked shortlist with fit breakdown, Application package and tracker. Use a list view for roles, a detail panel for fit scores and keyword highlights, and a right-hand panel for materials, deadlines and notes. Let users compare roles side by side. Display draft, submitted, interview and closed states. Provide a coach view with comments anchored to the relevant role or document. Make the task-specific outcome reviewed shortlist and application package linked to each role visible beside its evidence, review state and value baseline.

Accounts and administration

Candidate ownership, document versions, coach comments, approval states, usage allowances, application limits, submission history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Candidate-owned profiles, authorized job boards and professional networks. Cloud document storage, calendar and email destinations. Start with file exchange and validate destination specifications before promising direct submission. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    6 days

    One buyer segment, one recurring use case; first modules: import candidate profile, CV and work history; analyze CV for skills and experience alignment. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will job seekers and career coaches managing active applications across multiple roles use it to solve "job seekers apply to roles that do not fit their skills and lose track of applications, materials and follow-ups"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Shortlisted roles per search hour and applications withdrawn or corrected after review.
  4. Measure, then decide. Track shortlisted roles per search hour and applications withdrawn or corrected after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One authorized job-board source and one candidate profile format; final application submission and factual claims remain applicant-controlled. Implement one approved input format, a bounded representative case set and the first two task modules: import candidate profile, CV and work history; analyze CV for skills and experience alignment. Support the remaining modules with operator review: connect authorized job boards and professional networks; rank listings by fit with the candidate profile; show similarity and multi-dimension fit scores per role; highlight listing keywords against candidate evidence; apply role-match gate filters to exclude unsuitable roles; process many listings in batch; tailor resumes to specific listings; build ATS-friendly resume versions; generate personalized cover letters; suggest application material improvements; schedule applications for chosen timing; track applications and status in one dashboard; build a reusable interview answer bank; provide negotiation scripts for offers; prioritize daily application tasks by deadline and importance. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed shortlist and application package linked to each role. Retain the explicit scope boundary: One authorized job-board source and one candidate profile format; final application submission and factual claims remain applicant-controlled.

What the build depends on. Profile upload and preview, asynchronous matching jobs, editable version history, reviewer access and tested export formats. High-fidelity matching requires specialist career review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One authorized job-board source and one candidate profile format; final application submission and factual claims remain applicant-controlled.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: import candidate profile, CV and work history; analyze CV for skills and experience alignment. Manual review in the loop.

    $13,500 · about 6 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $13,500 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $19,000 · about 3 weeks of creation time

Indicative total, MVP to full product$46,000about 5 weeks of creation time · start with the MVP from $13,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$40–$90$70–$150
Full productabout 50 customers$110–$210$280–$560$390–$770
05

Run it or resell it

Internally

For your own team

Job seekers and career coaches managing active applications across multiple roles run it inside the business: candidate profile, work history, target criteria and authorized job listings in, reviewed shortlist and application package linked to each role out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#279166
  • accent#c95460
  • surface#e4f1ec
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Fair, human, straightforward
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined candidate package. Offer a monthly production allowance after repeat demand. Quote complex coaching or team deployments separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed shortlist and application package linked to each role. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce time spent on unsuitable applications while keeping the applicant in control of every submission. Demonstrate a concrete reviewed shortlist and application package linked to each role using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Job seekers and career coaches managing active applications across multiple roles professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed shortlist and application package linked to each role from a small authorized input set, with a transparent calculation of shortlisted roles per search hour and applications withdrawn or corrected after review and no promised savings.

The first 30 days

  1. Week 1: interview five job seekers and career coaches managing active applications across multiple roles and inspect a recent example of applying to roles that do not fit their skills and losing track of applications, materials and follow-ups.
  2. Week 2: prepare a consented or synthetic demonstration of the task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure shortlisted roles per search hour and applications withdrawn or corrected after review, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Shortlisted roles per search hour and applications withdrawn or corrected after review. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Shortlisted roles per search hour and applications withdrawn or corrected after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed shortlist and application package linked to each role. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved role criteria, application templates and review examples, together with reliable delivery for a narrow career niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for job seekers and career coaches managing active applications across multiple roles. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Wobo.ai, Scout Ahead, AutoJobs, Career-Ops on Claude and Seveum, plus manual job boards and spreadsheets. Compare this product with the buyer's present method on shortlisted roles per search hour and applications withdrawn or corrected after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Job-board access, document processing, storage, reviewer hours, candidate revision rounds and licensed source materials. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed shortlist and application package linked to each role. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve candidate voice, source attribution, factual accuracy and usage permissions. Applicants approve substantive changes and submission scope. One authorized job-board source and one candidate profile format; final application submission and factual claims remain applicant-controlled. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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