DynamicVibe ProductionsTraining
Agent Workflow Graph Engineering

Start here · your course guide

Build one dependable graph at a time.

New to agent workflow graphs? Begin with Module 1 and follow the route below. Each focused lesson takes about 18–22 minutes. You can still open any module whenever you need it.

Open executable capstone Recommended order, never a requirement.

What this course is

Architecture beyond the prompt

Learn to design AI workflows as graphs of nodes, dependencies, state, verification, and evidence.

Who it is for

Builders moving into multi-step AI

Use it when a single prompt is no longer enough and reliability, cost, or coordination starts to matter.

What you will leave with

A production-oriented design method

Diagnose weak graphs, choose safe parallelism, define contracts, and defend an executable, independently verified capstone.

Still building confidence with prompts and context? Take Prompt Engineering first →

  1. StartChoose one lessonThe module list stays open.
  2. LearnWatch and readUnderstand one design decision.
  3. PracticeApply and checkWrite a small design and answer one question.
  4. CompleteContinue forwardSave progress in this browser.

Topology is a claim about causality

The edge is the argument.

Every arrow must explain what the next node genuinely needs.

PlanWorker AWorker BWorker CVerifyAnchor
Lesson 1 of 32Module 1 · 0 of 2 complete
  1. 1 Understand
  2. 2 Practice
  3. 3 Verify

Module 01 · Lesson 1.1

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Watch the short visual, then read the explanation and examples.

Deterministic explainer

Original Remotion frame from the course's reusable graph explanation system.

Engineering example

Important qualification

Persistent lesson note

Capture the decision, not the transcript.

Interactive architecture bench

Graph Lab

Build a task graph, declare its dependencies, then inspect depth, critical path, fan-out, and common failure risks. Analysis is deterministic and runs locally.

First time here?

Build your first graph in three steps.

The score is a diagnostic signal, not a grade. Read the findings beside it to understand what to change.

  1. 1Add nodesStart with a planner, two workers, and a verifier.
  2. 2Connect themSelect the earlier node, then the dependent node, and choose Create edge.
  3. 3AnalyzeUse the score band and findings to strengthen the design.

Add a node

Connect nodes

Select two nodes in order, then create a dependency.

Click nodes to select them. The first selected node becomes the dependency; the second becomes downstream.

Graph Analyzer

—
Not scored yet

80–100: structurally promising · 60–79: review warnings · below 60: incomplete or high-risk. Always read the findings.

Nodes
0
Edges
0
Depth
0
Critical path
0s

Add nodes, connect genuine dependencies, then run the analyzer.

Source before certainty

Research Library

A searchable corpus of official documentation, primary engineering accounts, foundational computer science, peer-reviewed research, and first-hand talks.

Open to every learner

Course Notebook

Lesson-linked notes autosave locally. Search, edit, delete, and export them without sending their contents anywhere.

Local learning record

Progress

No gates. Complete the course in any order and keep your data in this browser.

Uses the Academy password

AI Tutor

Ask about the lesson you have open. The tutor reads that lesson first, and your Graph Lab diagram when you pick "Check my Graph Lab diagram". It asks for the Academy password the first time; the same password works in every course.

Lesson: None open yet