When AI Knows the Map but Gets Lost on the Journey
Workflow demos are usually polite. They show the agent reading a request, calling a tool, checking a result, and producing an answer before anything embarrassing has time to happen. The real test begins later. Not at step three. At step twenty-seven, when a previous decision constrains the next one, a small drift compounds, and the system must still remember what “done correctly” means. This is where many AI products discover that knowing the rule is not the same as applying it repeatedly without wobbling. A charming discovery, preferably not made inside a production accounting workflow. ...