Why AI analysis tools need to produce artifacts, not transcripts
Written by David Tomasoni-Major
David Tomasoni-Major explains why AI should create shareable analysis artifacts—dashboards, reports, and canvases—instead of endless text transcripts.
TLDR; We've taught Count's AI Agent to build more sophisticated canvas layouts.
We've all been there. You drop in a CSV and ask a question. You get a wall of text back. It looks…good, it's thoughtful—insightful maybe even. It asks if you want the logical followup question answered. Obviously you do. You type "yes". Another wall. Another obvious followup. "Yes".
Most AI analysis tools follow the same loop. You ask a question. You get paragraphs of explanation. The AI offers to "dig deeper" and you say yes—because what else would you say? More paragraphs arrive. You bounce between "yes, obviously" and "keep going" until you've accumulated a transcript that you now have to do something with.