
Transparent job-fit matching and application workbench
Reduce time spent on unsuitable applications while keeping the applicant in control of every submission.
- 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
What it does
Reduce time spent on unsuitable applications while keeping the applicant in control of every submission.
- Import candidate profile, CV and work history.
- Analyze CV for skills and experience alignment.
- 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.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- 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
- AI job matching Uses your profile to find and rank job listings that fit your skills and experience.Found in Wobo.ai, AutoJobs, Seveum
- Similarity or fit scores Assigns scores or breakdowns showing how well each job aligns with your profile.Found in Wobo.ai, Career-Ops on Claude, Seveum
- Automated applications Submits job applications on your behalf without manual effort.Found in Wobo.ai
- Application timing optimization Schedules applications at times that maximize visibility to employers.Found in Wobo.ai
- Personalized cover letters Generates custom cover letters tailored to each job application.Found in Wobo.ai, AutoJobs, Seveum
- Resume customization Creates or tailors resumes for specific job listings.Found in Wobo.ai, AutoJobs, Career-Ops on Claude and 1 more
- ATS-friendly resumes Builds resumes optimized to pass Applicant Tracking Systems.Found in Wobo.ai, Career-Ops on Claude
- Application tracking dashboard Tracks your applications and their status in one place.Found in Wobo.ai, AutoJobs, Career-Ops on Claude
- Job board integration Connects with external job boards and professional networks to find listings.Found in AutoJobs, Career-Ops on Claude, Seveum
- Application material insights Provides recommendations to improve your resume and cover letter quality.Found in AutoJobs
- Multi-dimension scoring Rates job offers across multiple criteria to help you prioritize.Found in Career-Ops on Claude
- Role-match gate filters Lets you set filters to exclude roles that don't meet your criteria.Found in Career-Ops on Claude
- Batch processing Processes many job listings at once to save time.Found in Career-Ops on Claude
- Interview answer bank Builds reusable answers for interview questions.Found in Career-Ops on Claude
- Negotiation scripts Provides scripts to help negotiate salary and job offers.Found in Career-Ops on Claude
- CV analysis Analyzes your CV to assess skills and experience alignment with jobs.Found in Seveum
- Keyword highlights Highlights keywords in job listings to show how well you match requirements.Found in Seveum
- Task prioritization Prioritizes your daily tasks based on deadlines and importance.Found in Scout Ahead
What goes in, what comes out
- Candidate profile
- Work history
- Target criteria
- Authorized job listings
AI drafts, people review. Transparent opportunity matching and shortlist platform.
- Reviewed shortlist
- Application package linked to each role
How it works
The workflow
- InStart with
Candidate profile, work history, target criteria and authorized job listings
- 1
Confirm the buyer's problem and scope
- 2
Collect candidate profile
- 3
Work history
- 4
Target criteria and authorized job listings
- 5
Then follow this sequence: 1
- OutFinish 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.
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
Scoping call
Day 1Thirty 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
MVP
6 daysOne 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
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- 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"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- 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.
- 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.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- 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.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $40–$90 | $70–$150 |
| Full productabout 50 customers | $110–$210 | $280–$560 | $390–$770 |
Run it or resell it
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.
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
- 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.
- Week 2: prepare a consented or synthetic demonstration of the task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- 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.
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.