hubagenticai

the hub, mapped

Start here

An agent is software that uses an AI model to decide its next action — calling tools, checking results, iterating — instead of following a fixed script. Agentic AI is the craft of building those systems well. This hub covers the whole path in one place, in order — three tracks from your first agent to production governance. Find your level, or start from a goal:

step 1 · 30 seconds

Which level are you?

Tick everything that's already true for you.

step 2 · or start from a goal

No code yet — get the mental model that makes everything else obvious.

  1. 01 How an AI agent actually works (build the loop)
  2. 02 MCP vs. A2A vs. AG-UI: the protocol stack
  3. 03 The agentic AI tech stack, layer by layer

how to use this hub

Six habits that get you the most from it

  1. Follow one track, in order. Tracks interleave tutorials, decision guides and playbooks so each step uses the last. Tick Mark as complete at the end of a page; your progress shows here, on the home page, and on /learn/ — stored only in your browser.
  2. Type along. Every tutorial's code ran before it was published, and each says which versions it was tested with. If something breaks, check its Troubleshooting section first — those are real errors.
  3. Decide before you build. Facing a choice — framework, model, protocol, workflow or agent? Compare & Decide gives a verdict and the reasoning, so you can disagree on purpose.
  4. Skip the blank page. Templates are copy-paste starters distilled from the tutorials: MCP servers, eval harnesses, prompts, checklists.
  5. Look things up fast. Press / anywhere to search. Unknown term? The glossary. Save pages for later with Save — they collect in your bookmarks.
  6. Keep current without the news churn. The Radar is re-argued every quarter (adopt / trial / assess / hold). The newsletter sends a guide when one ships — and tell us what's missing with the 👍/👎 box at the end of any page.
your task orchestrator plans · delegates · checks agent:search agent:code agent:review mcp:docs mcp:git mcp:db

why "hub"

Everything connects, like the systems it teaches

Tutorials teach you to build, comparisons help you decide, the enterprise section keeps it safe and affordable, the radar tracks where the field is heading, and the templates let you skip the blank page. Lost in vocabulary? The glossary defines every term; the FAQ answers the common questions; the resource shelf collects the primary sources. Every guide links to its next step — the same way an orchestrator hands work to the right agent.

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One practical agentic-AI guide in your inbox. No news, no hype.

Tutorials and decision frameworks as they ship. Unsubscribe anytime.

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