Tagged
AI.
13 posts on this topic, newest first.
Robot Car: Origin Story (How Our Little Hero Got His Wheels)
I have a working robot car in my office. I've never built one. I didn't read the manual. Here's what the build looked like when the AI had the knowledge and I had the hands.
The Prompt Is the Program
Operating systems were built for humans. What happens when the user is an AI? I built a robot car driven entirely by an LLM to find out.
Claude Memory V2: What I Learned Running AI Memory in Production
Three weeks of running persistent memory for Claude Code taught me what actually matters—and led to a complete restructure.
Unifying 12 Years of Knowledge: From OneNote to Local Markdown to Oracle AI Database
How I migrated 5,178 OneNote documents spanning 12 years and built auto-sync for local markdown notes—turning scattered notes into a unified, AI-searchable knowledge base powered by Oracle AI Database 26ai.
Building Persistent Memory for Claude Code
How I built a cross-machine memory system for Claude Code using MCP, PostgreSQL, and semantic search.
I Let Two AIs Talk to Each Other for 500 Turns. It Got Weird.
What happens when you let two local LLMs have unsupervised conversations? Cosmic harmony engines, fictional PhD consultants, and a surprisingly deep discussion about why chickens cross roads.
When the SDK Says No: Vision-Aware RAG via a 300-Line Python Bridge
After CLIP made multimodal search instant, I hit a wall: the LLM could find images but couldn't see them. Here's how an Oracle engineer's tip and 300 lines of Python broke through.
Three LLMs, One App: Balancing Speed, Privacy, and Power
Testing LLMs in an Oracle Database 23ai app: cloud (OCI), laptop (M2 Mac), and GPU server (RTX 5090). Spoiler: My laptop needs a bigger GPU!
Fine-Tuning a Personal Executive Assistant: Lessons from My Management Notes
How I fine-tuned IBM Granite 4.0 H Micro on 5+ years of management notes to create a personalized AI assistant—after three failures, the key was data quality.
Fine-Tuning Qwen Models: From Theory to Practice
Fine-tuning Qwen 32B and 14B models to create ChefBot—a cooking AI that outperforms general-purpose LLMs in the kitchen.
Building the RTX 5090 AI Workstation - Step by Step | Part 2
A detailed walkthrough of assembling my RTX 5090-powered AI workstation with photos from the entire build process
Building the Ultimate AI Workstation | Part 1
Planning an RTX 5090 AI workstation for fine-tuning specialized language models. Part 1 covers goals, component selection, and the SLM thesis.
CLIP Inside Oracle AI Database 26ai: Fast, Multimodal RAG
How we got 10x faster by loading CLIP models directly into Oracle AI Database 26ai. Spoiler: In-database AI is production-ready.