Spawn, a ten-person team, shipped 77,000 code changes in a single month by running an always-on fleet of AI agents. In an episode of The AI Daily Brief, host NLW breaks down the systems behind that output and explains why human taste and ambition still matter alongside the automation. The episode also draws five practical lessons that other businesses can apply, aimed at teams that do not have Spawn's setup. The headlines segment covers three other stories: legal AI startup Crosby bidding for the assets of law firm Weil, tech stocks sliding despite surging AI revenues, and Granola launching free dictation for its AI notepad. For Australian businesses, this is a workflow case study rather than a new product or regulatory change, so it does not alter obligations under the Privacy Act. Running agents across code or customer data does raise privacy and security questions, so any trial should keep humans reviewing agent output and keep personal information out of agent access until governance is clear. What is worth trying is a small, time-boxed pilot on one repetitive engineering or back-office task, measured by how much review effort the agent output actually requires.