Complete AI Training

AI app for human resources · no coding needed

Transparent job-fit matching and application workbench

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

Made for: Job seekers and career coaches managing active applications across multiple roles

What Transparent job-fit matching and application workbench looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Job seekers apply to roles that do not fit their skills and lose track of applications, materials and follow-ups.

What it gives you

Reviewed shortlist and application package linked to each role

What you give it

Candidate profilework historytarget criteriaauthorized job listings

Build your own version of Wobo.ai, Scout Ahead and more

One app with what these 5 AI tools do, yours to keep and change: Wobo.ai, Scout Ahead, AutoJobs, Career-Ops on Claude, Seveum.

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

How it works, step by step

  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

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Transparent job-fit matching and application workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Transparent job-fit matching and application workbench with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
  • prompt-vps.mdThe same build on your own server (Docker)27 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data196 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

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, convert a candidate profile, work history, target criteria and authorized job listings into a reviewed shortlist and application package linked to each role. The benefit is a testable hypothesis, measured through shortlisted roles per search hour and applications withdrawn or corrected after review; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect candidate profile, work history, target criteria and authorized job listings, then follow this sequence: 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. Resolve uncertain cases with qualified reviewers, approve reviewed shortlist and application package linked to each role, and measure shortlisted roles per search hour and applications withdrawn or corrected after review against a documented baseline.

How the AI works

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.

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.

What to build first

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.

What it can connect to

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.

The screens in detail

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.