synthetic examples
Back to proof
AI Productivity / Local Workflow Tool
ShotSort
An AI-assisted macOS workflow for renaming, tagging, searching, quarantining, and organizing screenshots and local files.
Outcome: Designed AI assistance around confidence, correction, quarantine, undo, and search instead of blind file automation.
The evidence
Problem, system, review loop, result.
Public proof
This case study shows AI implementation ability through confidence-aware AI suggestions, quarantine, human correction, undo, search, and local workflow adoption.
Synthetic screenshots only. Real local images and private file names stay out of the public site.
low-confidence review
human-correctable memory
Ownership
Clear about the judgment. Clear about the assistance.
Problem definition, workflow design, evaluation criteria, source selection, validation, rollout, user feedback, adoption, and outcome framing.
Code, app structure, scripts, UI wiring, parsing, tests, and iteration support. I stayed accountable for whether the workflow was useful and honest.
Artifacts and proof
Look at the work.
Screenshots and artifacts are public-safe by design. Private strategy, records, credentials, and customer data stay out.
Fake file list with suggested names, tags, confidence, quarantine state, and undo path.
Example of human edits flowing back into search and future organization patterns.
Low-confidence output stays quarantined until a human accepts or edits it.
No real local screenshots, file paths, or private desktop artifacts are public.
Why it matters