Agentic Workflow
A Complete Guide — from First Principles to Practice
This guide teaches you how to design, build, and reason about agentic workflows from scratch. It’s structured as a book — each chapter builds on the one before, taking you from the fundamental building blocks to production-ready multi-agent systems. The concepts are framework-agnostic and apply to any agentic workflow tool.
How to Read This Guide
Start at Chapter 1 and work your way through in order. Each chapter introduces one layer of complexity. By the end you’ll be able to design any agentic workflow and implement it in your framework of choice.
Chapters
Foundations
What is an agentic workflow? Why use multiple agents? The graph mental model that underpins everything. Start here.
The Agent
The atomic unit of every workflow. How to configure a single agent: choosing a model, writing effective prompts, assigning tools, and understanding reasoning strategies.
Workflow Topology
How to connect agents into a graph. Six canonical topologies — single agent, pipeline, fan-out, router, hierarchy, and cyclic — with tradeoffs and decision guides.
Control Flow
How execution moves through the graph at runtime. Static, conditional, iterative, and tool-driven patterns. Edge types and routing.
Information Flow
What data moves between agents and how. Shared state architecture, reducers, template variables, and data passing patterns.
Validation & Error Handling
Making workflows robust. Validation strategies, failure recovery patterns, tool iteration limits, and building fault-tolerant multi-agent systems.
Output & Putting It All Together
Aggregating results from multiple agents. Bringing every concept together in a complete end-to-end CTF binary challenge workflow.