Event Scout
AI-powered event discovery and scoring.
Problem
Finding relevant local events worth showing up to means manually checking multiple listing platforms on a recurring basis, then deciding by hand which ones are actually worth the time.
Solution
A research agent that scans event listing platforms on a schedule, filters for relevance against a defined target profile, and scores what's left so a human only has to review a short, ranked list.
Architecture
A scheduled agent run pulls listings from public event platforms, normalizes them into a common structure, and passes them through a filtering and scoring pass before writing results to a reviewable export.
Workflow
Technology
Screenshots
Screenshots in progress
This system is still being built — screenshots will be added as it takes shape.
Demo
Demo in progress
A walkthrough of this project isn't recorded yet — check back soon.
Lessons
- Filtering criteria has to be explicit and specific — vague relevance rules produce noisy shortlists.
- Verification before export matters more than raw recall; a smaller, trustworthy list beats a long uncertain one.
Potential Business Applications
- Local businesses scouting sponsorship, sampling, or brand-partnership opportunities
- Sales teams identifying in-person events to work
- Marketing teams building an events calendar without manual research