Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 819 posts across 65 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (139), AI Agent Architecture (73), AI News (48), and AI Business Ideas (46). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
NetworkChuck races an M5 Ultra Mac Studio against his M3 Ultra on local AI. Long-prompt reading is nearly 4x faster, but answer generation is about 1.5x faster. Here is what his raw data and workflow demos actually show.
Needle turns natural-language requests into constrained local tool calls. Learn how it differs from Jev, what runs offline, and how to pilot it safely.
Caleb Writes Code compares quantized Qwen3.8-27B on a dedicated GPU with full-precision inference on DGX Spark. Here is what his speed and electricity figures show, what they leave out, and when local AI makes business sense.
NetworkChuck tests NVIDIA DGX Spark against a dual-RTX 4090 server. The Spark loses his smaller-model speed tests but offers 128GB unified memory for larger local AI workloads. Here is what the evidence means for buyers.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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