If you mostly use AI through a chat box, this is the easy mistake: you see "database agent," assume "it writes SQL for me," and move on. That frame is too small for Datasette Agent [C001].
My read, based on the launch post and plugin docs only: it is basically a plugin chassis that gives SQLite, the small database many apps use, extra limbs, not just an NL-to-SQL toy [C002]. A launch is worth your time only if it changes your next move, not because it lists more features.
Why this matters for normal people: if you judge it like a chat bot, you will watch demo polish. If you judge it like a tool rack sitting on top of SQLite, you watch for add-ons that remove repeat work. That is a better filter for your time, budget, and attention.
The first clue is the launch itself. The official write-up called it an "extensible AI assistant" and shipped three add-ons on day one: charts, image tools, and sprites. That reads less like "ask in plain English, get database commands" and more like "attach more abilities to the database."
The older plugin system is the bigger clue. Datasette plugins already covered chart views, custom database functions, export formats, sign-in rules, and permissions. So the agent is not starting from a blank chat app. It is landing on existing rails.
My next move would be simple: watch the add-ons first. If one removes repeat work, follow it. If it only makes the chat interface nicer, wait. Boundary: this is a docs-only read, not a local benchmark or production test, and it is still alpha. If someone in your circle files every "agent" launch under "better chat box," share this with them.