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The Em Dash

Less Theory. More Button Pushing

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Real AI implementation stories. What worked, what didn't, and the buttons I actually pushed.

Your $240 Question: When Should You Actually Try the Hot New AI Tool?

Your $240 Question: When Should You Actually Try the Hot New AI Tool?

The Hook Here's a question worth $240: When a viral AI tool drops on tech YouTube, how do you decide whether to spend time exploring it? I'm asking because I was seconds from midnight on this one myself. Clawdbot (now OpenClaw) hit my feed—autonomous AI

Local LLM Setup Was Step One. Finding the Right Model Was Step Two.

Local LLM Setup Was Step One. Finding the Right Model Was Step Two.

In my last post, I walked through setting up a local LLM on an HP Z2 Mini. I got Qwen3-Coder-32B-Instruct running and called it success. Then I actually tried to use it. [Cue lab coat and clipboard] The Test That Broke Everything I gave Qwen a simple task: "Here

I Built an Unlimited AI Workspace (And Why You Might Want One)

I Built an Unlimited AI Workspace (And Why You Might Want One)

Look, I'm not going to pretend this was purely a practical decision. I like tech. I like new toys. Any excuse to justify new hardware is a good excuse for me. But the reason I could actually justify pulling the trigger on a local LLM workstation? Subscription fatigue

I Have Nothing to Show: Three Months of AI Work With No Artifacts

I Have Nothing to Show: Three Months of AI Work With No Artifacts

I officially started as Director of AI Enablement on January 1st. But I've been working on this since October. And I still have nothing tangible to point to. Here's the honest truth: I officially start as Director of AI Enablement at an MSP on January 1st,