Preserve the original.
Import a public job URL or pasted description. Keep the original text and extract quoted requirements.
AI + Software / Opportunity Engine
Build the tool
you wish you had.
I created and deployed Opportunity Engine to make opportunity assessment more useful. It compares what an opportunity actually requires with career evidence, so the decision comes before the document production.
MY CONTRIBUTION
Creator · Product direction · AI-assisted development
MEDIUM / CONTEXT
Python · Flask · Structured AI · Document generation
APPLY.STRETCH.SKIP.
GOOD JUDGMENT. BEFORE GENERATION.
What I brought
to the work.
I shaped the product, decision logic, review workflow, and AI-assisted implementation. The app preserves the source job description, checks cited evidence, produces APPLY / STRETCH / SKIP decisions, and creates controlled document derivatives for review.
A working private tool. Designed around judgment and time, not application volume.
THE DECISION BEFORE THE DOCUMENT
Change the evidence.
Change the decision.
The real app validates job requirements against source-addressable career evidence. This simplified example shows its decision principle.
Illustrative scenarios, not a live model call or a real employer assessment.
REQUIRED QUALIFICATION / EVIDENCE CHECKAPPLY
Core requirements have supporting evidence. Move to controlled tailoring and human review.
Check before generating.
Validate cited evidence and distinguish a supported qualification from an adjacent one, an unknown, or a confirmed blocker.
Make the edits reviewable.
Generate controlled résumé and letter derivatives with exact changes and reasons. Preserve protected facts and require review.