Normalize the sources
The discovery implementation reads public Greenhouse, Lever and Ashby job feeds and maps their different payloads into a shared structure.
An AI career workspace connecting job discovery, evidence-based matching and reviewable application drafts.
Select a requirement to see its source and a bounded draft.
Coordinated vendors, dependencies and onsite execution for facility projects.
REVIEWABLE DRAFTCoordinated project dependencies and vendor handoffs to support onsite delivery.
Curated portfolio example. No live AI generation.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.
The discovery implementation reads public Greenhouse, Lever and Ashby job feeds and maps their different payloads into a shared structure.
Evidence is mapped to short identifiers for model input and restored afterward. Unknown references are filtered rather than silently accepted as valid.
Generation returns structured documents and integrity issues. The application package starts unapproved; external submission remains user-controlled.
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.