← Writing
AI Workflows
Working well with AI comes down to repeatable habits: how you delegate, how you review, and where humans stay in the loop. These posts describe the workflows I use and why they work.
3 articles
The Workflow Is the Unit of AI Transformation
Most companies are adding AI to work that was designed before AI existed. The bigger opportunity is to redesign the workflow around what humans, agents, software, and data can now do together.
Read
I Stopped Prompting AI. I Started Assigning Work.
The problem with prompting isn't that you're doing it wrong. It's that prompting puts you in the wrong role. When you're the context-carrier every session — restating standards, reloading domain knowledge, correcting the output — you're not delegating. You're operating a tool with no institutional memory.
Read
The Cheaper Half of Oversight
Reviewing outputs answers whether the work is good. Reviewing plans answers whether it was the right work — and only one of those questions can be answered before the scope locks.
Read
Working on this?
Want Your Teams to Work Better With AI?
I help organizations design the workflows, review steps, and oversight that let teams use AI with confidence.
Subscribe to The Algorithm
Notes on building AI systems that actually work.