Course 8 closed with a single lesson on publishing a commercial MCP plugin on WordPress.org, the GPL requirement, the freemium-versus-trialware line, and disclosure of external calls. That lesson was correct as far as it went, and it also covered maybe a tenth of what actually turning working code into a business requires. This course is that tenth expanded into a full track: pricing an AI feature honestly, choosing a licensing system, staying compliant once real money is involved, building a launch funnel that doesn’t get your listing flagged, deciding whether WordPress.org is even the right channel, and supporting real customers when the thing you sold them is, by nature, less predictable than a typical plugin feature.
Nothing here re-teaches the Abilities API, MCP, or the PHP AI Client SDK. The product this course assumes you have is the one you built starting in WordPress AI Foundations and carried through to a publishable state in Advanced WordPress MCP Architecture & Enterprise AI. If you haven’t built and tested something you’d genuinely consider distributing, that’s where to start, not here.
By the end of this course you’ll have a concrete pricing model chosen for the right reasons, a licensing approach picked from real, named options, a GPL-compliant release plan, a launch strategy for WordPress.org and, if it fits your product, channels outside it, and a support and onboarding plan built for the specific ways AI features fail. This is the last course in the full eighteen-course track. Finish it, and you’ve gone from “what is an ability” to a saleable AI product with an actual go-to-market plan behind it.