When the Interface Disappears
Traditional software is shaped the way it is because it cannot understand intent. AI removes that constraint — and with it, most of the scaffolding we have been calling product.
Read →The throughline across all of it is operating reality. Governance only matters if it changes decisions. Strategy only matters if it survives execution.
If you want the writing, browse it directly. If you want the practical framework, start with the playbook. No newsletter. No drip sequence.
Software was always the infrastructure between the intent and the result. AI lifts the constraint that made the artifact the job — and surfaces the harder discipline underneath: owning the venue, not the event.
Why AI turns software into a temporal artifact, and why the durable engineering work becomes intent engineering — owning the governed data, contextual knowledge, and governance that empower any valid intent.
Read the article →Start with the most recent articles, then use the archive or search page to move by topic and operating question.
Browse the archive →Traditional software is shaped the way it is because it cannot understand intent. AI removes that constraint — and with it, most of the scaffolding we have been calling product.
Read →Agentic systems are the engine. Discovery is the output. Once you separate the two, the strategic picture for operators, boards, and capital allocators looks very different.
Read →AI is already making decisions at scale in most PE-backed and regulated businesses. The question is not whether to allow it — it is whether you designed it.
Read →As AI agents absorb more search, evaluation, and purchase work, brand shifts from narrative alone to machine-readable trust. Operators need a playbook for winning both human preference and agent recommendation.
Read →AI oversight in 2026 is no longer a technology update. Boards and PE sponsors need a defensible, evidence-based operating model that regulators, buyers, and insurers will recognize.
Read →Most private equity firms still talk about AI as a set of use cases. The firms that will create real value will treat it as a portfolio operating system spanning thesis, governance, execution, and exit proof.
Read →The frameworks in these books are the foundation of the advisory work. If you want depth, start here.
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