The Report That Came Back Shuffled
A parallel batch job reshuffling its output every run. Not an AI problem. A 30-year-old distributed systems problem living inside a modern pipeline.
17 articles - Daily dispatches — what I built, broke, and learned with AI today
A parallel batch job reshuffling its output every run. Not an AI problem. A 30-year-old distributed systems problem living inside a modern pipeline.
Swapping flat memory for semantic retrieval changed how my entire system operates. Here's the shape of the upgrade.
Same pipeline, ten different niches. The differentiator isn't the code, it's a file most teams skip entirely.
Same pipeline, ten different niches. The differentiator isn't the code, it's a file most teams skip entirely.
A two-word query triggered every scheduled job in the system. What that says about building AI that listens.
Splitting one task into three steps across sixteen properties, and the ceiling I haven't found yet.
When your AI says 'got it' but didn't, and why curation is harder than generation.
An audit of your own systems reveals more than you expect.
Eight projects, one thousand interactions, and a creeping suspicion about what my job actually is now.
When AI handles the switching costs, the ceiling on what counts as 'one day's work' disappears.
When AI can produce a million words for pennies, the only scarce thing left is the truth behind them.
AI can do almost anything you ask. The hard part is teaching it what to ask itself.