Most productivity tools fail at the exact moment they’re needed most — when you’re deciding what to work on. They handle tasks fine. They’ll track deadlines, send reminders, organize projects into boards and lists and gantt charts. But ask them “should I take this project?” or “why does this feel off-track?” and you get silence. […]
Navigating AI Disruption: A Framework for Strategic Positioning
Navigating AI Disruption: A Framework for Strategic Positioning So yeh. Let me walk you through how I’m thinking about AI disruption and what it means for software companies trying to figure out where to place their bets. There’s this fascinating debate happening right now across enterprise software about what survives the shift to AI agents. […]
Tokens as Currency: Why Crypto and AI Converged on the Same Word
We use the word “tokens” in two completely different technological contexts. In cryptocurrency, tokens represent value—coins, assets, ownership rights. In large language models like GPT-4 and Claude, tokens represent computation—the atomic units of text processing that determine API pricing. Both systems independently converged on “tokens” as their fundamental unit of exchange. That linguistic parallel might […]
Intents All the Way Down
What if the future of design isn’t about interfaces, screens, or even journeys — but about intents? Not tasks.Not steps.Not features. Just: What does the user want to happen? Lately I’ve been noticing a pattern across AI, product design, crypto, and even my own daily life. Everything seems to be collapsing into a single primitive: […]
Web Summit 2024: Orchestration, Flow, and Dynamic Resource Allocation
So yeh. I attended Web Summit in Lisbon again in November 2024, returning to Europe’s largest tech conference. Core Thesis The conference surfaced a consistent pattern: value is shifting from production to orchestration. Whether it’s managing AI agents, allocating attention across workflows, or positioning platforms as trusted intermediaries—the winners will be those who coordinate, not […]
Supersoftware: When Software Becomes Symbolic AI
I had the opportunity to review an academic paper that tackles one of the most pressing challenges in AI right now: LLMs can’t grapple with enterprise software. The paper is called "Supersoftware: Software That Is Itself Symbolic AI" by Philip Sheldrake and Dirk Scheffler. It was published in late November 2025, and I was honored […]