SeriesComplete5 of 5 articles
Building BENEDICT.EXE
How I turned a static portfolio into a fast, grounded conversational system—and what broke along the way.
- 01Why I Wanted My Portfolio To Talk BackA normal portfolio is optimised for scanning. I wanted something optimised for asking.
- 02The First Rule of AI Latency Is Measuring the WaitMy chat worked, but it felt broken. The fix started with measuring the wait users actually felt.
- 03Correct Tool, Wrong ScaleQdrant was not a bad tool. It was just the wrong scale for a small curated portfolio corpus.
- 04When Search Is Not EnoughFast retrieval found candidate sources. The next problem was deciding which sources should travel together.
- 05The Hardest Chat Bugs Were Software BugsI thought the model was failing. Most of the time, the harness around it was.