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05 / APPLIED AI · Private beta development

Every claim needs
somewhere to stand.

An AI career workspace connecting job discovery, evidence-based matching and reviewable application drafts.

AI workflow and product developmentNext.js / Structured AI output / ATS feeds
TRACE THE CLAIM

Show me
the evidence.

Select a requirement to see its source and a bounded draft.

ROLE REQUIREMENT
E01 / CAREER EVIDENCE

Coordinated vendors, dependencies and onsite execution for facility projects.

REVIEWABLE DRAFT

Coordinated project dependencies and vendor handoffs to support onsite delivery.

Curated portfolio example. No live AI generation.
THE PROBLEM SPACE

Fortrua

Tailoring an application should make relevant experience easier to see. It should also preserve what the candidate actually did. Fortrua is built around supplied career evidence and a review step.

01

Normalize the sources

The discovery implementation reads public Greenhouse, Lever and Ashby job feeds and maps their different payloads into a shared structure.

02

Keep an evidence trail

Evidence is mapped to short identifiers for model input and restored afterward. Unknown references are filtered rather than silently accepted as valid.

03

Keep final approval visible

Generation returns structured documents and integrity issues. The application package starts unapproved; external submission remains user-controlled.

Current scope

Private beta. Evidence mapping and structured output help review; they do not prove that every generated sentence is accurate. Public signup is documented as disabled pending further checks.

Evidence reviewed October 2026. Source inspection is not a substitute for runtime validation.

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