recfinderto.ca started as a workplace experiment: a practical way to explore how AI‑assisted coding tools could support real development workflows. In this talk, Daniel Liadsky shares how experimenting with AI tools without a roadmap led to rapid prototyping and a deeper understanding of where they genuinely accelerate work (and where they don’t). It’s a behind‑the‑scenes look at adopting AI in a real‑world context and how a simple hands‑on trial turned into something genuinely useful.
Speakers
Daniel Liadsky
Daniel Liadsky is the Managing Director for Purpose Analytics, a non-profit helping to build a data-informed non-profit sector. He formerly held front-line and management roles in Toronto's community services sector where he repeatedly couldn't resist organizing and automating his organizations' data and workflows.