TL;DR for operators An engineering team migrating behavior logic between control architectures has two separate problems: understanding what an existing specification means, and reproducing that behavior without losing a branch, loop, transition, or termination condition. Automating the first problem is relatively easy to imagine. Trusting automation with the second is harder because a plausible-looking conversion can still change executable behavior. ...
Workflow is the unglamorous part of agentic AI. Which is precisely why it matters. A research agent can have a strong language model, a decent search tool, and an impressive ability to produce paragraphs that sound like a McKinsey intern who drank too much espresso. Yet when the task becomes long, ambiguous, and evidence-heavy, the same agent often fails for a boring reason: it does the right actions in the wrong order, repeats the same weak search, summarizes too early, forgets to verify a source, or changes its own instructions so enthusiastically that it becomes a different employee halfway through the job. ...