Category: Exploring AI
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Exploring AI – Ask What Breaks
Most people use AI to make a plan. That is useful. But one of the better habits is to ask AI to break the plan before reality does. I explored to try to get to the root of the issue. There is a simple management exercise called a premortem. Instead of waiting until something fails and asking…
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Exploring AI – Find the Bottleneck
Most people ask AI for solutions too early. That is why they get long, polished answers that sound useful and somehow do not fix the actual problem. I explored to try to get to the root of the issue. One of the best low-hanging-fruit habits from management consulting is simple: before you optimize anything, find the…
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Exploring AI – Don’t Ask AI to Decide. Ask It to Compare
One of the easiest ways to get a bad answer from AI is to ask it a question that sounds simple but actually isn’t. “What should I do?”“What’s the best option?”“Which one should I pick?” Those feel natural. They are also where a lot of people quietly get burned. I explored to try to get…
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Exploring AI – AI That Actually Works: Part 7 – The Authority Matrix: What an Agent Can Touch, Change, Send, Approve, or Spend
Last week we talked about the Delegation Contract — how to hand work to an agent without handing it your judgment. This week is the harder question, and the more important one: what should the agent ever be allowed to do in the first place? That is the part most people still skip. A lot…
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Exploring AI – AI That Actually Works: Part 6 – The Delegation Contract: Stop Prompting. Start Handing Off Work
Most people still talk to agents like chatbots. That’s fine right up until the chatbot can browse the web, run commands, read files, send messages, and touch the tools you use to run your day. OpenClaw’s own pitch is that it “actually does things” — clearing your inbox, managing your calendar, checking you in for…
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Exploring AI – AI That Actually Works: Part 5 – The Trust Channel Protocol: When Voice and Video Stop Counting as Proof
Until very recently, hearing a familiar voice or seeing a familiar face counted as evidence. Maybe not proof in a courtroom sense, but enough proof for ordinary life. If your boss called, you assumed it was your boss. If a family member sounded scared, you assumed the emergency was real. That assumption is breaking faster…
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Exploring AI – AI That Actually Works: Part 4 – The Babel Fish Moment: OpenClaw and the End of Multiple Interfaces
It’s GTC again, and this year NVIDIA finally said the quiet part out loud. The center of gravity has shifted. The keynote energy was no longer really about gamers, prettier pixels, or even training alone. It was about inference, AI factories, and rack-scale systems built to answer questions and carry out tasks in real time.…
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Exploring AI – AI That Actually Works: Part 3 – The Mirror Trap: When the Question Rigged the Answer
Have you ever asked a chatbot a perfectly reasonable question, gotten back a clean, confident answer, and still felt something was off? Sometimes the problem is the model. But sometimes the deeper problem is that the question itself quietly bent the search before the model ever began. I explored to try to get to the…
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Exploring AI – AI That Actually Works: Part 2 – The Data Diet
You’re on a tight deadline. A client email thread lands with names, pricing back-and-forth, and a thinly veiled threat to walk. You copy the whole thing into Claude or ChatGPT: “Summarise the issues and draft a calm reply.” Feels like asking a sharp colleague for a second set of eyes. Until it isn’t. I explored…