Do Not Let One Example Become The Whole Workflow
One of the quiet ways AI projects go sideways is that the team keeps testing the same example. At first, that example is useful. It gives everyone something concrete to react to. A...
Field notes on operational AI
Short public essays split between applied workflow practice and the reusable primitives underneath AI systems of action.
One of the quiet ways AI projects go sideways is that the team keeps testing the same example. At first, that example is useful. It gives everyone something concrete to react to. A...
Read latest essayPractice
Applied field notes on making AI safer, more useful, and easier to trust inside real workflows.
One of the quiet ways AI projects go sideways is that the team keeps testing the same example. At first, that example is useful. It gives everyone something concrete to react to. A...
Most businesses already have an invisible workflow engine. It is email. A customer sends a note. A vendor forwards a document. An employee replies from a thread that started three weeks...
One of the fastest ways to make an operator nervous is to show them an AI workflow that can change business records without showing exactly what changed. The fear is not irrational. In...
One thing I keep seeing in operational AI work is that the first trust problem often appears before the system has done anything useful. It appears during setup. The form asks for too...
Most workflow plans look cleaner on paper than they do inside the business. The intake process has an approval step, except one person knows which cases skip it. The billing process has...
Most operators I talk to do not start by asking for an autonomous AI agent. They start with a simpler frustration: they cannot get a clean answer to basic operating questions without...
One of the most practical questions an operator can ask before using AI in a real workflow is not, "Can the AI do this task?" It is, "If this task goes wrong, what can it touch?" That...
The AI workflows that make operators most nervous often start in the places where the real business lives: inboxes, text threads, call logs, shared spreadsheets, and notes from someone...
Most operators do not start by asking whether an AI system can reason. They start with a more practical fear: if I give this thing access to the business, what exactly is it allowed to...
Most small-business meetings create work that never makes it into software. Someone explains the exception. Someone promises to follow up. Someone mentions that a customer always needs a...
Primitive
Systems essays on the reusable product, architecture, and operating-model ideas behind the work.
The part of AI workflow design I keep paying more attention to is the example set. Not the polished demo examples. The real ones. The duplicate request that arrived through two channels....
The pattern I keep seeing in operational AI work is that the messy part starts before the model ever gets involved. Work arrives through email threads, forwarded documents, customer...
The pattern I keep seeing in operational AI work is that the hard part begins after the model produces a good answer. A recommendation is easy to admire in a demo. A state change is...
The part of AI products I am starting to pay more attention to is not the demo. It is setup. Setup looks mundane. Create an account. Invite users. Choose a plan. Connect a few...
The pattern I keep seeing in real AI implementation work is that the plan often fails before the model does. The architecture may be directionally right. The product idea may be useful....
The pattern I keep seeing in vertical software is that buyers may ask about AI, but they lean in when the conversation gets to operational visibility. Can the system tell us what is...
The pattern I keep seeing in real AI implementation work is that "permission" is too small a word for what agents actually need. Most product discussions treat permission as access to...
The pattern I keep seeing in real AI automation work is that the interesting data is rarely sitting in a clean product table waiting for a model. It is in inboxes, messages, call logs,...
A lot of AI product discussions still start with the model or the interface. Can the model reason? Is the chat experience good? Can the assistant retrieve the right documents? Those...
Most business work starts before software can see it. It starts in a meeting, a call, an exception someone explains out loud, a follow-up everyone assumes someone else wrote down, or a...