Writing
- Aug 13, 2026aidataoperationsmethod
Wire the Feedback Loop You Already Own
Autodesk paid $3.575 billion for outcome data it could not build its way to. Yours is a join. Six steps that get a workflow's outcomes flowing back to the system that produced them, each naming what to run, what good looks like, and the condition that moves the default.
- Aug 12, 2026aiagentsarchitecturemethod
Build the Pipeline, Not the Agent
Six steps that turn one workflow into a fixed-path pipeline, in the order the decisions arrive. Each names what to run, what good looks like, and the condition that changes the default. Built on the evidence that a pipeline with no agents in it outscored every agent framework it was measured against, at about 70 cents a task.
- Aug 8, 2026aiadoptionmethod
Adoption Was Never the Hard Part
Five checks for AI that is not paying off, run in order, stop at the first that fails. Each one names what to run, what good looks like, and the condition that changes the default. Built from the evidence in everything we have published, with every number traced to its primary and every unsourced default labeled as ours.
- Aug 6, 2026aidataoperations
Autodesk Paid $3.6B for Work Orders. That Is the Market Price of a Feedback Loop.
The largest acquisition in Autodesk's history was not a design tool. It was a maintenance app, bought at roughly 26 times forward revenue, and the CEO's stated reason was contextual data from the physical world. Most companies that bought AI and got nothing back have the same gap and no balance sheet to close it.
- Jul 26, 2026aimethodworkspace
Confidence Is Maintenance, Not a Purchase
In three research rounds we chased 125 claims toward their sources and killed 17, including one statistic wearing a trench coat. Then we caught our own workspace believing things that had stopped being true. Same disease, one mechanism that treats both, and a pre-registered bet at the end that we publish whichever way it lands.
- Jul 24, 2026aiadoptionmeasurement
Developers Using AI Were 19% Slower. They Reported Being 20% Faster.
Adoption is a measurement claim, and fewer than one in five companies own the instrument that would let them make it. The one controlled trial that put a stopwatch next to the feeling found the two disagreed by 39 points, which is a problem for every self-reported AI productivity number in circulation.
- Jul 24, 2026aiagentsarchitecture
A Pipeline With No Agents Beat Every Agent Framework. It Cost 70 Cents a Task.
Teams are buying autonomy they do not need and skipping the structure that demonstrably works. Anthropic's own numbers put multi-agent systems at 15x the tokens of a chat, with token spend alone explaining 80% of the performance gain. Meanwhile the one controlled test of whether scaffolding becomes unnecessary as models improve rejected its own hypothesis.
- Jul 22, 2026aiadoptionstrategy
88% of Companies Use AI. About 5% Get Anything Out of It.
Adoption is nearly universal and value capture is rare, and the gap is not the model. Across McKinsey, BCG, Stanford, and MIT, the one thing that separates the companies getting returns is that they redesigned the work, not that they bought a better model. Here is what the controlled evidence actually supports, and where it runs out.
- Jul 20, 2026aiautomationarchitecture
Your AI Automation Will Outlive the Model It's Built On
GPT-4's accuracy on a simple task fell from 84% to 51% in three months, same vendor, same model name, nobody touched the workflow. The fix is building the workflow so the model underneath it can change without breaking anything.