Top-down · Mastery-based · Agentic AI system design

Design agentic systems, one decision at a time.

AgentGraph teaches you to design agentic AI the way the best engineers actually learn — build a real agent, watch it fail, and fix one decision at a time. No framework tours. No happy-path demos. Just the hard calls, calibrated to you.

● Runs on your schedule~30 min / day10 systems, end-to-end
10
canonical agentic systems, designed end-to-end
10
cross-cutting decision axes — the reusable toolkit
30 min
a day — all that's needed
0
happy-path tutorials to sit through
The pedagogy

Play the whole game first, then descend to the core.

The same learning science behind serious skill acquisition — mastery, spacing, active recall — pointed at agentic system design. You start by designing a real agent; the fundamentals show up when a failure forces them, not before.

01 · Mastery

You don't move on until you can defend it.

Every decision has a bar to clear: name the alternatives, the criteria, your choice, and what you trade away. You advance once you can justify it the way you would in a design review — not once you've heard the term.

02 · Adaptive

The graph knows which calls you've earned.

Every answer updates a live model of what you can design. Each session serves the exact next decision on your frontier — hard enough to stretch you, close enough to reach.

03 · Spaced recall

Hard-won decisions resurface before they fade.

The forgetting curve doesn't spare engineers. We pull each decision back into your review queue right before it would decay — so what you learned about context, memory, and autonomy still holds three weeks later.

04 · Active recall

Every minute, you're making the call.

You're not watching a walkthrough. You're setting the autonomy level, designing the tool interface, sketching the control flow — and defending each choice to a grader that reads your answer like a Staff engineer.

05 · Interleaving

Real systems mix every axis at once. So does your practice.

Context strategy, memory, model routing, eval, failure modes — jumbled the way a real design forces them. You build transfer, not canned answers to canned prompts.

06 · Calibration

Honest signal on what you can actually design.

Your dashboard shows which decisions are review-ready, which are shaky, and which you haven't met yet. No vanity streaks — just the truth about your design judgment.

Why it works

"Most people learn agentic AI by collecting frameworks. Collecting frameworks feels like progress. It isn't. What you need is to make the hard calls, watch them break, and fix them — hundreds of times."

— the principle behind AgentGraph

A typical session

  1. You sit down for 30 minutes.
  2. You get 4–8 drills on the edge of what you can design.
  3. Each one is graded against a rubric — with the ideal answer revealed.
  4. A wrong call triggers a short, targeted explainer.
  5. Decisions you've nailed queue for spaced review later.
  6. You close the laptop able to design something you couldn't before.
Pricing

One price. Everything included.

Less than a single hour with a consultant. More useful than a shelf of agent frameworks.

Monthly

Flexible — pause any time.

$9 / month
Start monthly

7-day money-back guarantee · Cancel any time · No ads, no upsells

Stop collecting agent frameworks. Start designing.

Your first session takes 30 minutes. By the end, you'll know exactly which design calls you can defend — and which ones you can't yet.