I’m checking my own stack, after reading an excellent summary written by Shelly Palmer: How Anthropic Thinks About Agents, Workflows and Tasks. Her article is based upon a talk given by Barry Zhang/Anthropic at an AI Engineer conference in 2025. I’ll embed the video if you want to see his entire talk. Summarizing the summary:… Continue reading →

(Continued from: Building It Right — Staging, Compliance, and Analytics) The previous three parts of this series covered the bumpy road from a laptop running Docker containers to a cloud-deployed system with a staging environment, compliance guardrails, and real observability. By the end of that phase, I had something I could stand behind. GPT-4o-mini was… Continue reading →

(Continued from: Moving to the Cloud — and Finding the Right Model) By this point the core system was working. GPT-4o-mini was holding context, the product cards were giving customers a tangible output, and the hallucination problem was largely under control. I could have pushed to production and called it done. Instead I built a… Continue reading →

(Continued from: What If a Dispensary Had an AI on Staff?) The local build had done its job. I knew the concept worked. I knew what the limitations were. Now I needed something I could actually demo to a dispensary owner without carrying my laptop into the store. The move to the cloud was surprisingly… Continue reading →