An investigation into why serious AI work depends less on clever prompts and more on defending invariants, boundaries, and human judgment.
At the end of a long, technical AI session this week, something became clear to me: human-in-the-loop is being misunderstood in ways that matter.
The issue wasn’t whether the system could generate outputs quickly







Lawyers are trained to think in ways that can be the opposite of good innovation practices. We spot issues and potential problems, with an emphasis on problems. We identify and manage risks, with an emphasis on the risks of doing new things. We focus, sometimes agonizingly, on process, procedure, and precedent. Saying that something “has