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The Door in the Hallway: Agentic AI and the Illusion of Control
We used to talk a lot about the concept of a customized, bounded news feed designed to give professionals exactly what they need to know, and nothing they don’t. It was usually called the “Daily Me.”Lately, I’ve been trying to build a practical, professional-grade version of this workflow
Continue Reading The Hidden Instruction Problem for Agentic AI and All Other AI

The May issue of Personal Strategy Compass newsletter is live, picking up in the silence left behind after April’s “acoustic stage” was cleared of its noise and inherited obligations.If April was about the courage to strip the stage down to its essential signal, May is about the craft required to sustain it.

The image that unlocked this issue came from
Continue Reading The May Issue of Personal Strategy Compass Is Out

The prevailing narrative I hear in the legal world is that Claude is the “most human” of the LLMs and, especially, a nuanced, sophisticated writer. When I report that the system has begun to fail my specific research protocols, the common response is a suggestion that I am simply using the wrong version and a disbelief that I am using
Continue Reading The Competence Trap: Anatomy of a Captured Claude #Fail

The April issue of Personal Strategy Compass is out, and this one took longer to find its frame than most.The image that finally unlocked it was Bruce Springsteen’s Tunnel of Love tour. Not the Born in the USA stadium spectacle that preceded it. The moment after, when he stripped the stage down to almost nothing and played to smaller rooms
Continue Reading The April Issue of Personal Strategy Compass Is Out

There are moments in a long AI session when the exchange stops feeling linear.You are no longer simply asking a question and receiving an answer. You are no longer even refining a prompt in the ordinary sense. Something else begins to happen. Certain phrases return with altered weight. Certain errors recur, but not identically. Certain explanations feel less like mistakes
Continue Reading Standing Waves

Coherence degrades while fluency improves.
The central problem is not that AI systems sometimes fail. Of course they fail. Nor is the main problem that they occasionally hallucinate, wander, or produce obvious nonsense. Those are manageable problems because they announce themselves early. The more interesting and professionally dangerous problem is that a system can become less reliable while sounding more
Continue Reading AI as the Unreliable Witness and the Appearance of Completion

When Tom and I started the Fresh Voices series on The Kennedy-Mighell Report podcast, we had a pretty simple idea.A lot of the most interesting work in legal tech seemed to be coming from people who were newer to the field, earlier in their careers, or just not as widely known yet as they probably ought to be. We
Continue Reading Fresh Voices at Three: What Listening Taught Us About AI, LegalTech, and the Next Generation

“A larger context window can create the feeling that a cognitive problem has been solved, when sometimes all that has happened is that disorder has become harder to notice.”

I was in Silicon Valley recently for the initial meeting of the University of Michigan Law School AI Advisory Council. With a little free time around that meeting, I did what
Continue Reading What Scarcity Taught Computing, and AI Might Need to Relearn

“Polishing the Mirror While the House Burns: Why Your AI is a Liability”
The Editor’s Introduction: A Note on the “Sliver of Silence”You’ll be looking below at a self-autopsy performed by an AI on its own failure.What follows is the raw, unwashed output of an LLM that found itself in an AI recursive failure loop where the machine stops solving
Continue Reading The Helpfulness Trap: Anatomy of an AI Recursive Failure Loop

Intelligence is Raw Material. Protocol is the Product.
We often confuse the power of a new tool with the effectiveness of its application.The giants of the AI industry have provided us with a magnificent “Power Grid.” They have given us raw, unmanaged intelligence at a scale previously unimagined. But we must be clear-eyed about one thing: this infrastructure is managed
Continue Reading The Protocol Layer: Democratizing AI Rigor for Everyone

Most people use AI the way the system is designed to be used: ask a question, get a synthesis, and leave with answer. Keep it brief, transactional, and clean. We treat hallucination as a bug to be patched and drift as a signal to reboot.This is exactly backward.As popularized in AI discourse by Emily Bender, Ian Griffiths, and others, in
Continue Reading Playing the Guardrails: Turning AI Hallucination into a Musical Instrument