AI-assisted requirements and issue lifecycle framework
Turned chaotic requirement changes and development issues into source-traceable issue records, lifecycle views, and PDF reports for the development team.
This is my public home base: portfolio cases, working thesis, and current experiments around AI-assisted operations, Work OS design, evidence handles, and review-gated agent workflows.
Portfolio spine
The cases repeatedly show one pattern: ambiguous work becomes explicit entities, lifecycle states, source traces, output formats, and review gates.
Turned chaotic requirement changes and development issues into source-traceable issue records, lifecycle views, and PDF reports for the development team.
Processed raw receipt/app screenshots into company-format submission outputs with required evidence mappings.
Designing a context-preserving Work OS with sweeper/librarian agents and human review calibration.
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If you have ambiguous requirements, repetitive reporting, scattered operational evidence, or an AI workflow that needs governance, I can help turn it into a structured loop.