Prompts were a parlor trick. “Act as a world-class XYZ…” Everyone had one. Everyone felt clever. But here’s the truth: Prompting was a party trick for small context windows. Now? We’ve got million-token windows. And suddenly the game isn’t “what do I ask?” It’s: what does
Most companies have a tech stack. CRMs. PM tools. Dashboards. Docs. Automations. AI plugins. Integrations. Alerts. It looks like sophistication. It feels like control. But under the surface, something's broken: the thinking doesn’t scale. Ideas don’t compound. Context gets dropped. Reasoning gets repeated. Decisions stall or
The future won’t be about using tools. It’ll be about communicating with systems that already know. There’s a new gap forming inside organizations—quiet, invisible, and massively consequential. We used to train for tool mastery. Now? The tools are smart. But the conversation is broken. The Real
Many of you asked right after my last post this question A Warning About Your Backbone Right now, companies are quietly rebuilding their entire backbone on top of LLMs. * Internal copilots. * RAG systems. * Workflow routing. * Search. * Reasoning. * Decision assistance. * Knowledge memory. * Context flow. It feels modular. But it’s all
We don’t need fewer conversations. We need better organizational memory. Every few months, someone declares meetings are broken. And sure—many are. They’re too long. Too vague. Too political. Too frequent. Too performative. But blaming meetings for your company’s problems is like blaming a whiteboard for bad
We’ve moved past the model race. The real fight is for systems—and selves. Who’s Winning Right Now? Let’s break it down. Model Leadership OpenAI leads in deployment, ecosystem, and pace. GPT-4o is still the standard for general use. Anthropic (Claude 3.5) is catching fast, with
By 2026, the differentiator won’t be AI adoption—it’ll be system design. By the end of 2025, nearly every company will have “played with AI.” They’ll have: * Run prompts * Launched pilots * Bought the plugins * Built internal copilots * Slapped “AI-powered” on a some thing And for a while,
It does it middle-to-middle. We keep hearing that AI will automate the whole workflow. “End-to-end.” “Fully autonomous.” “Just give it a prompt and let it run.” But here’s what I am actually seeing: AI doesn’t do it end-to-end. It does it middle-to-middle. It’s brilliant once the problem
You can feel it. Typing feels like drag. Forms feel like friction. Apps feel like containers for problems that move faster than the tabs can load. And the deeper the systems get—AI agents, data pipelines, digital twins—the more absurd it starts to feel that we still navigate everything
Most of your workflows weren’t designed. They were inherited. You’re not running the business you think you are. You’re running: * Old assumptions * Forgotten workflows * Templates you never Built * Permissions no one ever reauthorized * Automations built on logic no one remembers writing And the most dangerous part? Most
Talent still wins—but only when it’s wired to flow. There’s a reason some of the smartest people feel stuck. It’s not the workload. It’s not the mission. It’s the system they’re trapped inside. Because in 2025, talent alone isn’t the edge. Systems
The invisible risks of systems that almost work. There’s a kind of AI no one’s scared of until it’s too late. It doesn’t crash. It doesn’t hallucinate wild nonsense. It doesn’t wave red flags. It works. It completes the task. Sounds confident. Looks polished.