Category: Uncategorized
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AI is describing your competitors better than you. Here’s why.
The AI Visibility Playbook: Surviving the Shift from Search to Synthesis More people are turning to AI chatbots instead of traditional search engines to find information online. Even Google now displays an AI Overview at the…
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Why People Say “MCP Sucks”: Which Critiques Matter Most
The practical takeaway is straightforward. The strongest objections to the Model Context Protocol (MCP) are not ideological. They are operational. They center on token cost, security, cloud deployment, and enterprise controls. The weaker objections tend to…
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How to Stay Employable When AI Is Coming for Your Job
Over the past few weeks, I have had a lot of conversations with people who are genuinely worried about what AI means for their careers. Not just developers, but marketers, analysts, lawyers, and others who are…
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Why the heaviest AI users actually produce worse results 🤯
How to Stay Employable When AI Is Coming for Your Job Over the past few weeks, I have had a lot of conversations with people who are genuinely worried about what AI means for their careers.…
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Why Your AI Agents Need Engineering Instead of Best Practices
I remain optimistic about the impact agents will have on knowledge work. As I noted in an earlier article, fields shaped by clear rules and mature systems, including accounting and contract management, already look well suited…
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Why smarter agent architecture does not always improve results
Why Your AI Agents Need Engineering Instead of Best Practices I remain optimistic about the impact agents will have on knowledge work. As I noted in an earlier article, fields shaped by clear rules and mature…
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NVIDIA’s Next Moves: A Practitioner’s Guide to GTC 2026
NVIDIA’s GTC 2026 conference, held March 16–19 in San Jose, delivered a sweeping set of announcements. The throughline across hardware, software, models, and partnerships is clear: NVIDIA is engineering a vertically integrated stack that spans from…
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The Agentic Sweet Spot: Where AI Moves Fast and Humans Stay in the Loop
A recent Anthropic study on agent autonomy offers a clear preview of where knowledge work is headed. Anthropic analyzed millions of real interactions across their public API and Claude Code to see how people actually deploy…
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When AI does the junior work, how do we train seniors?
The Agentic Sweet Spot: Where AI Moves Fast and Humans Stay in the Loop A recent Anthropic study on agent autonomy offers a clear preview of where knowledge work is headed. Anthropic analyzed millions of real…
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How Teams Actually Use RL to Make Agents Reliable
I have had a longstanding fascination with reinforcement learning (RL) and have monitored its slow diffusion from research labs into enterprise production. Much of the recent activity remains concentrated among foundation model builders and teams with…
