Field notes from a journey to AI.
Long-form posts written from a working professional's seat - what's actually useful, what's hype, and how to bring AI back to your team on Monday.
I asked AI for the weather and it made something up.
Prompt grounding is the craft move that turns a made-up AI answer into an accurate one. Point the model at a named source, not stale training data.
I was an AI skeptic until I treated my brain as an algorithm
For two years I called AI fake intelligence. Then I learned AI is only as good as the input, and the human brain is also an algorithm on experience.
I asked AI to fix 120 pages. The false positives were on me.
Context engineering vs prompt engineering, told through a 120-page proofread that came back in five minutes with false positives I had to throw out.
I picked the wrong Claude model and shipped nothing.
I picked Haiku for a customer R risk-analysis program and got a half-baked draft. Here is how I learned to choose the right Claude model tier.
AI almost lost me a Customer
I almost sent an AI document with a fabricated drug name. A colleague caught it. Why expert review is the only real defense against AI hallucination.
My first ChatGPT answer was bland. Mine was the problem.
I tried ChatGPT in early 2024, got a bland answer, and walked off. Here is what I missed - and how to prompt ChatGPT for better answers without code.
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