Community (Coming Soon)

The site gives you deep-dives, configs, and real workflows. That’s not changing.

But some things work better with a group: debugging a weird agent behavior, comparing approaches to a multi-step pipeline, or just having people around who get why you spent a weekend optimizing a system prompt.

We’re building a Skool community for the kind of practitioner who reads this site.

Not live yet. We’re targeting a May 2026 launch.

What we’re building

This is not a course. There’s no curriculum and no “module 1, lesson 3” structure. It’s a working group for people who use AI tools in production and want to get better at it.

  • Workflow reviews: post your setup, get feedback from people who’ve tried it differently
  • Tool and model discussions with actual opinions (not “it depends”)
  • Prompt and config drops you can fork into your own systems
  • A space to compare notes on agent architectures, automation patterns, and new releases
  • Direct access to the team behind this site

No fluff. No “community engagement” activities. Just practitioners sharing what works.


Pricing

Still being finalized. The site stays free. The community will be a paid monthly membership, priced to be reasonable for independent practitioners and hobbyists. We’re not building an enterprise product.

As we add more depth (advanced workshops, tool-specific deep-dives, automation templates), we may introduce tiers. There will always be a straightforward entry option.


Who this is for

  • You use AI tools daily and want to sharpen your approach
  • You’d rather discuss tradeoffs with peers than watch a tutorial
  • You build systems (agents, pipelines, automations) and want feedback loops
  • You have opinions about models and tools and want a place where that’s the default

Probably not for you if

  • You’re just getting started with AI (check out AI for the 99% first)
  • You want structured lessons with certificates

Stay in the loop

We’ll announce the launch here and on the Stream . Best way to know is to keep reading.

While you wait

Plenty of deep-dives to dig into.