Articles
282 posts tagged "insights"
Five Paradigm Shifts You Need to Embrace About AI
Five paradigm shifts from three years building with AI: design time over runtime, judgment over prompts, real feedback loops, conversation, and knowledge that's built, not stored.
Knowledge Isn't Stored. It's Built.
Why storage is the wrong question for knowledge, and how decomposing content into a graph builds answers no document ever held. The MCode Coach story.
Stop Selling a Privacy Policy
When both sides have IP, current AI privacy answers force one of them to bleed. The fix isn't a better policy or a clever cryptographic trick. It's a design discipline: stop protecting what crosses the wire and start designing what's allowed to cross in the first place.
Why Your AI Bill Is Too High (And the Architecture Fix That Saves 40%)
Most companies run their AI like a doctor's office. The ones that scale run it like an ER. Here's the architecture decision that cuts AI costs by 40%.
The CRM I built this weekend doesn't have a UI. Agentic Software is the future.
I built a CRM this weekend with no UI. Just tools an AI agent can call. Here's why agentic software is the next decade of building.
AI Can Design a WordPress Site. It Still Doesn't Know Where the Design Should Live.
WordPress 7's AI features are real and they're going to help. But the hardest problem in WordPress isn't content. It's design. And it's an architecture problem, not a feature gap. Here's the two companies actually solving it for two very different users.
The Slop Isn't Coming From the Robot
Critics are right that most AI content is slop. They're wrong about where it comes from. The slop isn't the model. It's people typing one sentence into a blank chat window and pasting whatever falls out. Here's what separates the two camps, and the test you can run on anyone claiming to use AI well.
The Two Bets Every AI Team Has to Make
Most AI teams celebrate the technical bet (prototype on the edge of working) without making the cultural bet that makes it survivable. You need both.
Your AI agents have one job each. Most builders give them four.
Most multi-agent systems fail for the same architectural reason: LLMs get wired into four positions when they only belong in three. Here's the rule that fixes it.
The 4-Part Loop That Eliminates AI Slop (in Your Apps and Your Content)
If your AI output keeps hitting a ceiling, the fix isn't better prompting, it's a scoring loop with an independent judge. Here's the 4-part pattern, with the prompt I use.
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