Workflow
The Local AI Complexity Cliff: Why the Jump from Hello World to Useful Is So Hard
Getting Ollama running takes 5 minutes. Building something useful takes weeks of hitting walls you didn't know existed. Here's an honest map of every stage, with time estimates and what unlocks at each level.
Model Routing for Local AI — Stop Using One Model for Everything
You're running one model for every task. That wastes VRAM, burns electricity, and gives worse results. Model routing sends each task to the right model at the right cost. Here's how to set it up.
Local AI for Lawyers: Confidential Document Analysis Without Cloud Risk
A federal judge ordered OpenAI to hand over 20 million chat logs. If you're a lawyer using ChatGPT for client work, that's an ethics problem. Local AI keeps everything on your hardware.
AI Tool Sprawl: You're Running 6 AI Tools and None of Them Talk to Each Other
Ollama for local chat, LM Studio for testing, ChatGPT for the hard stuff, Claude for writing, Copilot in your editor, Open WebUI as a frontend. Six tools, zero integration. Here's how to consolidate without losing capability.
Stop Using Frontier AI for Everything
Build a tiered AI model strategy that stops wasting money on GPT-4 and Claude Opus. Route tasks to local models, Haiku, Sonnet, or Opus based on complexity.