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The Economics of Software for One
AI lowers the cost of implementation. Building for yourself lowers the cost of figuring out what to build and makes software for a market of one practical.
Topic
AI Workflows
A collection of 10 issues
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The Workflow Breakthrough I Had to Delete
Companies are building workflows around what today’s AI can’t do. As the technology improves, those workarounds can preserve unnecessary labor and keep better models working like the ones they replaced. A notification hook I depended on showed me how useful scaffolding becomes a constraint.
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Give AI an instruction manual for your family calendar
Create a family logistics file, connect it to your calendars, and use AI to propose coverage and make the assignments after you approve them.
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Cutting Headcount Is Not an AI Strategy
AI can cut company costs. That's useful, but it's the thinnest application of the technology. Strategy begins when leaders redesign products, workflows, and decisions around what AI now makes possible.
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You Don't Need an Agent. You Need a Librarian.
I run my consulting pipeline, content calendar, family logistics, workouts, and sourdough experiments from a folder of text files. The useful part is not an autonomous agent. It is a system that keeps the journal.
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AI is bigger than vibe coding
Coding tools are the best AI interfaces we have. Their overlooked value isn't just building software, but handling messy work at the moment of need.
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Stop using the default meeting summary for every task
Context is everything with AI. Meeting summaries are a simple example. When the task changes, go back to the transcript and ask for the slice you actually need.
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The Deck Was the Easy Part
I put together a deck for product and engineering leaders and barely struggled with the slides. When I dug into why, it wasn't about slides at all. I prioritize tools I can hand to an agent, and it means I get to stay in the narrative while the busywork happens around me.
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99% Adoption and Still Stuck
A team can get to near-total AI adoption and still feel like things aren't moving. The tools changed. The jobs didn't. Here's the difference between the teams that pulled ahead and the ones who just made their old work faster.
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Jobs Are Fake
Your org chart still assumes marketing handles these things, engineering handles those. That mapping is from before. The lanes were always capacity, not rules. That capacity has come off, and the org charts haven't caught up.