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Scouting Pipeline
Roles are not just collected. They carry status, source, priority, fit signal, and a next action.
Project example
CareerOS brings scouting, evaluation, application assets, follow-ups, and learning loops into one readable Personal HQ. It stays deliberately human-in-the-loop: AI supports structure, research, and drafts, while final decisions stay human.
Evidence
01
Roles are not just collected. They carry status, source, priority, fit signal, and a next action.
02
Every interesting role gets a short analysis block: what the company needs, where the fit is, what remains unclear, and which story would make sense.
03
Profile copy, cover-letter blocks, and follow-ups come from reusable patterns instead of a blank document.
04
AI accelerates research and drafting. Sending, prioritization, and tone stay intentionally human-reviewed.
05
Conversations, replies, and rejections flow back into taxonomy, positioning, and the next applications.
Stack
Why it matters
Tags
Context
This example shows how I shape projects across product, operations, and structure: clear information, clean architecture, and a practical path for day-to-day use.