Business

Course Recap: Your Go-to-Market Plan

⏱ 12 min

Seven lessons, seven real decisions: whether your plugin is actually ready for a stranger to install, how to price an AI feature honestly, how to license and enforce that price, how to stay GPL-compliant while doing it, where to launch, and how to support a product that fails less predictably than most. This closing lesson pulls all of it into one checklist you can run against your own product before you actually ship it, and closes out the full eighteen-course track this lesson is the last stop on.

What you'll learn in this lesson
A single go-to-market checklist
Synthesizing Lessons 1 through 7 into decisions you can check off, not just concepts to remember.
How the pieces depend on each other
Why pricing has to be decided before licensing, and licensing before the launch funnel.
What "done" looks like for this course
A concrete definition rather than an open-ended feeling of readiness.
Where this leaves you in the full track
What you've built across all eighteen courses, start to finish.
Prerequisites

This lesson assumes you’ve worked through all seven prior lessons in this course. It’s a synthesis, not new material, use it as the final checklist before you actually launch.

Step 1: The full go-to-market checklist

Productizing
Onboarding tested on a machine you don't control
Lesson 1: setup works for someone who has never seen an ability or MCP server before.
Documentation covers AI-specific failure modes
Lesson 1 and Lesson 7: rate limits, provider outages, and non-deterministic output are explained, not just features.
A pricing model chosen for the right reasons
Lesson 2: usage-based, credits, BYO-key, or managed, matched to your actual audience and cost predictability, not picked by default.
Licensing
A license key system in place
Lesson 3: activation, deactivation, site-URL binding, and update checks, whether built yourself or through EDD or Freemius.
A deliberate decision on failing open versus closed
Lesson 3: your license check doesn't punish paying customers for your own infrastructure's downtime.
Every bundled file's license verified
Lesson 4: Composer dependencies, images, and any vendored library checked individually, not assumed compatible.
A clear position on paid add-ons sold outside the directory
Lesson 4: understood as a genuinely nuanced area, not a settled loophole.
Launch
The free tier's abilities work fully, indefinitely, if you're using a funnel
Lesson 5: no trial period, no quota lockout, on anything in the WordPress.org listing.
Upsell notices are limited, sparing, and properly dismissible
Lesson 5: checked directly against the guideline language, not assumed fine.
Every external call is disclosed and opted into
Lesson 5 and Course 8: AI provider calls and license-check calls both, in the readme and the actual setup flow.
The right channel chosen for your product's actual shape
Lesson 6: WordPress.org, your own site, or a marketplace, matched to whether you have a genuine free tier.
Business
A support channel chosen and a response-time expectation stated publicly
Lesson 7: matched to your actual team size, and kept, not aspirational.
Audit logging in place and used for diagnosis
Lesson 7, built on Course 4: asked for by timestamp when a customer reports an issue, not guessed at from a screenshot.

Step 2: Why the order matters

These decisions aren’t independent. Pricing (Lesson 2) determines what your license system (Lesson 3) actually needs to enforce, whether that’s a per-call meter, a credit balance, or a simple site activation count. Licensing and GPL compliance (Lessons 3 and 4) determine what your launch funnel (Lesson 5) is even allowed to do on WordPress.org, and whether a channel outside it (Lesson 6) makes more sense for your specific product. And every decision upstream of launch shapes what your support team (Lesson 7) will actually spend its time explaining. Working through them in this order, rather than picking a launch channel first and retrofitting pricing and licensing to fit it, avoids rebuilding foundational decisions after they’re already public.

Don't finalize a launch channel before pricing and licensing

It’s tempting to pick WordPress.org first because it’s familiar, then figure out pricing afterward. If your product doesn’t actually have a genuine free tier to offer, that choice locks you into either building one you don’t need or awkwardly retrofitting a funnel around a product that was never meant to be free. Decide pricing and licensing first, then let the channel follow from that, not the other way around.

Step 3: What “done” looks like

You’re ready to launch when every item in Step 1’s checklist is checked honestly, not aspirationally. A missing item isn’t a reason to delay indefinitely, some of this (support volume, real customer-reported edge cases) only becomes clear after real customers exist. But every item should be a deliberate decision you made, not a gap you haven’t noticed yet.

Recap: the full track, start to finish

This course started by turning Course 8’s single closing lesson into a full business track: productizing what you built, pricing it honestly, licensing and staying GPL-compliant, launching on WordPress.org or elsewhere, and supporting an AI product for what it actually is. That’s the last piece of a track that began with WordPress AI Foundations, the entry point that laid out the Abilities API, MCP, the MCP Adapter, and the PHP AI Client SDK before anything else in the track built on it, through Advanced WordPress MCP Architecture & Enterprise AI, the capstone that took a single working integration to a production-grade, publishable plugin, and now to this course, where that plugin becomes an actual business with a real go-to-market plan behind it.

That’s the complete eighteen-course track: from what an ability is, to a registered MCP server, to connected AI clients, to real security and authentication, to calling AI providers from your own code, to shipped editorial and store projects, to a production-grade architecture, and now to a saleable product with pricing, licensing, a launch plan, and a support practice built for what an AI product actually is. There isn’t a Course 19. This is the end of the track, and if you’ve built the product this course assumed you have, it’s ready for someone other than you to use it.

Resources & further reading

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