Capability is often under-described.
Informal work, foreign experience, volunteer work, practical skills, documents and lived responsibility may never reach a conventional resume in employer-readable form.
FastPath is not only an ATS checker and not only a job board. It is a candidate-controlled evidence and opportunity system. A person can find a real role, upload or explain their work history, compare that evidence against the job’s actual requirements, see what is Supported, Partial, Unknown or a Gap, receive specific evidence/training/credential/support pathways, and produce a reviewable employer-facing packet without exposing private support information by default.
Important distinction: this IZZYAKOS page explains the complete product. The separate interactive demo is a fictional-data reviewer surface. The deeper FastPath web application contains the full routed product and remains separately controlled for technical review while production protection is being finalized.
A resume tool may rewrite words. A job board may show openings. A workforce program may offer training. A case manager may know the transportation or credential problem. FastPath is designed to connect those states around one specific person and one specific opportunity.
Informal work, foreign experience, volunteer work, practical skills, documents and lived responsibility may never reach a conventional resume in employer-readable form.
FastPath preserves an explicit Unknown state so “we do not have evidence yet” is not silently converted into rejection or false confidence.
The system is designed to route a real unresolved requirement to the smallest legitimate next action: stronger evidence, credential recovery, training, apprenticeship or support.
Each step is a distinct product surface in the full application. The user does not have to complete every step before browsing jobs or support.
FastPath includes cross-industry packs rather than forcing every person into clean energy. The user can start broad or choose an industry context that changes job-search terms and pathway context.
Enter a job or skill, ZIP and distance. The application calls its jobs API and can aggregate configured employer/API sources such as Greenhouse, Lever, JSearch, Adzuna and USAJOBS, with Remotive/other source fallbacks where appropriate. A vacancy is only presented as a job card when it has a source/application URL.
“Check my fit” carries the title, employer, source URL and available job-description text into the evidence workflow. FastPath then reasons against that specific posting instead of a generic occupation label.
The Resume/Evidence route accepts text, PDF, DOCX and common resume images for local browser extraction. The user can also paste work history, record a voice story or add a transcript so experience omitted from a resume can still be reviewed.
Extracted statements retain source type and candidate-confirmation state. FastPath does not automatically upgrade an extracted sentence into a verified fact.
The target job is parsed into requirements and each requirement is mapped to Supported, Partial, Unknown or Gap with explanation, priority, evidence and next action. This is not a hiring probability or an “ATS pass” prediction.
Automatic recommendations can point toward evidence strengthening, a relevant credential or training route, education-record recovery, apprenticeship/represented-work options or local continuity support depending on the actual gap.
The person can save profile/intake information and export a candidate packet. Employer-facing disclosure is intentionally separated from private continuity/support data and candidate-reported evidence remains distinguishable from independently verified evidence.
These are routed product pages in the full FastPath application. The descriptions below explain the user action, system behavior and expected output rather than using label-only navigation.
User action: choose industry, role/skill, ZIP and radius. System action: request current listings from connected sources, separate live vacancies from general source-door links and preserve original application URLs. Output: job cards with employer/source context plus “Check my fit.”
User action: upload TXT/PDF/DOCX/image evidence, paste work history or add voice/transcript. System action: extract readable claims locally where supported, retain provenance and leave them unconfirmed until reviewed. Output: candidate evidence ready for target-job comparison.
User action: choose/paste a real target job and run the review. System action: parse job requirements, apply transferable/synonym matching and evidence rules. Output: Supported, Partial, Unknown and Gap requirements with explanation and action.
User action: provide profile/evidence/support context. System action: distinguish qualification evidence from continuity barriers. Output: recommendations where support-only items explicitly carry no ATS-merit impact.
User action: review the unresolved target-job requirement or choose an occupation. System action: route toward official/public training, workforce-funded options, apprenticeship, education recovery and represented-work resources. Output: source links where the external provider confirms eligibility.
User action: choose ZIP/radius and support need such as food, transportation, clothing, reentry, GED or legal/record barriers. System action: surface local/state resources without treating the support condition as qualification merit. Output: practical source handoffs.
User action: review gaps and recommendations. System action: organize unresolved requirements into a practical sequence instead of generic “improve your resume” advice. Output: next-step plan connecting evidence, training and support.
User action: review what is ready to share. System action: keep candidate working records, provenance and private support context separate from disclosure. Output: exportable candidate/intake packet for controlled review.
User action: add identity/contact/profile fields and consent choices. System action: save locally when unsigned and to Supabase when authenticated/connected. Output: continuity across the routed experience without requiring login just to browse.
User action: workforce/training partners, sponsors or employers review participation pathways or submit roles. System purpose: create the B2B2C operating bridge around the free candidate experience rather than monetizing candidate access as the primary model.
FastPath code distinguishes live listings, official source doors and fallbacks. The platform should never imply that a general job-board search link is a specific vacancy.
The jobs UI only treats an item as an actual listing when it has a title, employer/organization and source or application URL. Job cards open the original listing rather than pretending FastPath is the employer.
OhioMeansJobs, USAJOBS and Apprenticeship.gov can be presented as official source doors. Those are trusted places to continue the search, not fabricated vacancy cards.
The API can use configured Greenhouse, Lever, JSearch, Adzuna and USAJOBS credentials/tokens plus public-source integrations. If live feeds return nothing or are unavailable, the UI must say so and expose trusted source searches instead.
A pathway is not simply a list of courses. It is a response to a specific unresolved requirement or continuity barrier.
If a job requirement is Gap, Partial or Unknown, FastPath can recommend strengthening proof, confirming a credential, recovering education evidence, finding a relevant training route or considering an apprenticeship/represented-work pathway where requested.
Transportation, housing, food, childcare, tools, reentry or schedule barriers may determine whether work is sustainable, but they are structurally separated from qualification merit. Support recommendations can therefore be operationally useful without becoming hidden penalties.
The account-free reviewer demo intentionally shows only the central evidence-to-requirement mechanism with fictional data. It is not the entire FastPath application and should not be used as the product feature inventory.
The current FastPath production deployment builds successfully and recent Vercel runtime-error aggregation reports no runtime errors in the selected seven-day window. That is engineering evidence, not customer validation.