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Welcome to the AI Builders Guild

by Agentic Solutions
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This is the first post that will also appear somewhere new: the AI Builders Guild, our Discord community for people who are actually building with AI, not just talking about it.

Here's what this community is, and what it isn't.

What it is

A place to learn the craft of building real applications that solve real problems. Not AI hype, not "10 prompts that will change your business", the actual work: scoping, building, shipping, and debugging systems that do something useful.

You'll find:

  • Build logs, every week we write down what we actually shipped, including the things that broke.
  • #show-your-build, members posting what they've made, and getting honest feedback. This is the heart of the guild: real work on display.
  • Questions, the forum channel for "how do I scope this?", "which stack?", "why is my webhook silently failing?" (that last one is a real story from this week's log).
  • Resources, the free stack, the guides, and links worth keeping.

What it isn't

  • Not a place to get sold to. If someone's "helpful" message turns into a pitch, that's not the guild working, flag it.
  • Not a hype room. No "AI will replace everything" energy. We build, we ship, we debug.
  • Not a leaderboard contest. The goal isn't the most impressive demo; it's the most useful system.

How to get value from it

Same as the book's method: start small, scope one thing, build it, show it.

  1. Pick one process in your business that's slow, fragile, or annoying.
  2. Map it (the Four Losses framework is a good lens).
  3. Post it in #what-do-you-need-to-build, naming the problem is the first build step.
  4. Build the smallest version that works, then show it in #show-your-build.

That's the whole loop. The guild exists so nobody does step 4 alone.


If you're new to the method, start with the first 30 pages free, the Four Losses, the one-page map, and finding your binding constraint. Then try Module 1 of the course to see the whole process run on a real app.

More resources

The free white paper is a short first read. The weekly Brief covers AI news in plain words. The free course walks through planning one small build.