These are the best AI courses to make money that I’d actually recommend — ranked, with the cost and who each one isn’t for stated plainly. Five of the nine are completely free, and I’ve been honest about the fact that I built most of them. The short list AI Profit Boardroom — the full

OpenCode vs OmniRoute is the wrong question, and it’s worth two minutes to explain why. One is the coding agent, the other is the router that feeds it free models. Here’s what each actually does and why you run both. Short answer OpenCode is the terminal coding agent. OmniRoute is the local model router. They

The free API for Hermes Agent worth setting up isn’t a single key — it’s a local gateway that reaches 231+ providers and switches automatically when one gets rate limited. Here’s the setup, the token compression that keeps it usable, and the one thing to be careful about. Short answer OmniRoute is a local gateway

GEO is getting cited inside AI answers, not just ranking blue links — and it’s mostly the same job done consistently. Here’s what AI engines need from a page, and why running it as a Claude skill beats doing it by hand. Short answer GEO means getting quoted in AI answers; the requirements overlap heavily

Most things sold as an SEO skill for Claude are a long prompt that stops at the draft. The best SEO skill for Claude does the whole job — here are the six tests to judge one by, and the one I run on my own sites. Short answer The best SEO skill for Claude

An agentic SEO skill doesn’t hand you a draft — it researches, writes, publishes, interlinks, indexes and then improves its own rules. Here’s the nine-step loop mine runs, and the parts that still need a human. Short answer Agentic means it acts — publishes and links, not just writes. Mine runs a nine-step loop from

Running Hermes on a local model means no API bills, no data leaving your machine, and an agent that works on a plane. Here’s the setup, which model to pick, and the one mistake that makes people think local models are slow. Short answer Install a runtime, download a model, serve it locally, point Hermes

LFM2.5-2.6B might be the best free local model you can put behind Hermes right now — because its final training stage ran through the Hermes agent harness itself. Here’s how it performed in my own testing. Short answer 2.6B parameters, 34 trillion tokens, 128k context, runs on around 8GB. Final post-training stage was agentic RL

Maple Preview is a new open-source reasoning model with ternary weights, an MIT licence and genuinely impressive speed on local hardware. Here’s what it does well, what it doesn’t, and my honest take after testing it. Short answer 20B model with roughly 1B running cost, using ternary weights — minus, zero or plus. Shrinks around