Pantry apps die of homework
Every pantry app fails the same way: it turns its users into inventory clerks. What happened when I banned quantities from a food product entirely, and why three states beat a barcode scanner.
Field notes on product, founding, and running a build with AI agents. I write the way I work: from real decisions, with the numbers left in. First pieces are in edit now.
Every pantry app fails the same way: it turns its users into inventory clerks. What happened when I banned quantities from a food product entirely, and why three states beat a barcode scanner.
Where the line between deterministic rules and machine learning belongs in a consumer product, and the three fail-open bugs an adversarial audit caught before any beta tester ever cooked a meal.
How a hard validation gate saved me from my own enthusiasm: designing the survey your idea has to pass, deploying it to real communities, and being genuinely willing to let it fail.
What it actually takes to ship a live, safety-critical consumer app solo with AI agents: decision logs, drift gates, adversarial reviews, and why the discipline matters more than the models.
The flashy move that loses quietly eight turns later, and other things a rated amateur learns about prioritization the expensive way.