Guides That Get To The Point.
Step-by-step walkthroughs for building agents that do real work, staying safe while you build, and understanding what's under the hood. Free, with reading ungated, and each one ends with something to go build.
Agents & Orchestration
From "what is an agent" to multi-agent orchestration. The core track for anyone building agent systems.
What Is an Agent?
The plain-language definition, the three layers, and how to tell the difference between a chatbot and an agent.
The Three Layers of an Agent
Break an agent into three layers you can see and direct: the harness, the architecture, and the cron engine.
Building Your Agentic Foundation
The few decisions that determine whether your agents produce real work or polished noise.
Agent Orchestration
How to run multiple agents that coordinate: handoffs, shared memory, sequential workflows, and parallel execution.
Agent Opportunities
Where agents create real value in a business: the use cases that actually work today, and the ones that will work soon.
Marketing with Agents
How to deploy agents for content creation, audience research, and campaign execution without losing your brand voice.
Parallel Subagents on Manus
Run multiple agents simultaneously on the Manus platform: fan-out research, parallel content generation, coordinated workflows.
The OpenClaw Story
How OpenClaw was built, what it does differently, and why it matters for the agent ecosystem.
Build Safely
Security, governance, and the cost of getting it wrong. Required reading before you deploy anything autonomous.
Vibe Coding Safely
The security fundamentals for anyone building with AI code generation. What to check, what to lock down, what to never expose.
Don't Let Your Agent Burn Down the House
Five rooms, eighteen checkpoints, zero jargon. A safety guide for non-technical founders deploying autonomous agents.
The Cost of Failure
What happens when an ungoverned agent goes wrong: real examples, real costs, and how the architecture prevents each one.
Foundations
How AI works under the hood, platform-specific starter guides, and the context you need to make informed decisions about your stack.
How AI Works
Tokens, weights, inference, context windows. The mechanical understanding that makes you a better agent builder.
Tokens, Explained
What tokens are, why they matter for cost and context, and how to think about them when building agent workflows.
The State of AI
Where AI is today, what's changing fast, and what it means for anyone building agent systems right now.
Cowork Starter Guide
Get started with Claude Cowork: setup, first project, and how to structure your workspace for agent deployment.
Cowork Projects
How to structure and manage multiple projects in Claude Cowork: organization, context sharing, and workflow patterns.
GitHub Starter Guide
Git and GitHub for non-developers: the minimum you need to version your architecture files and collaborate with agents.
Read Enough. Build One.
Every guide up there ends with something to go build. The fastest way through all of it is a real agent doing one real job, free, today.
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