Ship the Report

assemble and ship

Part of: Meeting Notes to Action Items

Every piece is built: a filter, an extraction prompt, JSON parsing, defaults, validation, grouping, chunking, dedup. Shipping means wiring them into one pipeline that takes a transcript in and prints a clean report out, then handing it to a person who can use it. The full pipeline, end to end Here's the whole product as one function. Each step is something you built across the last seven lessons: The model appears once, at the top, doing the one thing only it can. Everything after is the deterministic Python you already wrote. That layering, one fuzzy step, then reliable transforms, is what a shippable AI product looks like. The report a human actually reads Nobody wants a list of dicts handed to them; they want a document they can read. Group by owner, sort, and format as Markdown so it drops straight into a doc, an email, or a ticket: Now each person sees their section, their tasks, their deadlines. That's the thing that was worth building. What "shipped" means here Three checks, the same three every project ends on: it runs from a clean start on one transcript; it handles an empty transcript or a meeting with no action items without crashing (an empty report, not an exception);

Challenge: Render the Final Report