Structured experience
Experience captured as data — skills, projects, outcomes — that an agent can reason over, ground in real evidence, and reuse.
Intelligent Career Search turns a person's scattered experience - files, notes, and spoken context - into a living, structured career bank, then uses that bank to score roles and write documents tailored to each one. It is one of the Intelligent applications running on oshal.
Most career tools start from a finished resume and edit it. Intelligent Career Search works the other way around: it builds a structured bank of your accomplishments, projects, skills, and stories first, then assembles the right resume from it for each specific role.
The same engine that structures one person's experience is the foundation for talent intelligence across a team: a structured, queryable view of skills and experience instead of a folder of PDFs.
Experience captured as data — skills, projects, outcomes — that an agent can reason over, ground in real evidence, and reuse.
Roles scored against the bank, with the reasoning behind each fit kept attached so a match is explainable, not a mystery number.
The natural extension: a queryable view of skills and experience across a team — who has done what, where the gaps are — built on the same structured foundation.
Where it stands. Intelligent Career Search - the individual career-bank, scoring, and tailored-document engine - is built and live as a demo. Team-wide talent intelligence is the direction this line extends toward, not a shipped feature yet.
On the framework: the career bank is a per-user, bot-owned store; job-board reads come through brokered connectors; scans and scoring run as ticket workflows; and every model call lands in the central cost ledger. Same rails as every other application.
The career-bank and tailored-document workflow is available on the oshal cockpit.