Build Your First AI Agent
From zero to a running AI agent in 30 minutes. 6 steps. Working agent at the end.
Get the Guide — FreeThe Problem
Tutorials are either too simple — chatbot wrappers that teach you nothing about production — or too complex, requiring days of framework documentation before you write a line of code.
You want to build a real agent, not spend a week reading docs.
The Solution
A 6-step tutorial using our two-file approach (AGENTS.md + SOUL.md) that works on any platform — Claude Code, API-based agents, CrewAI, LangGraph. Platform-agnostic. Framework-agnostic. Results in 30 minutes.
Plus 3 starter templates for the most common agent types so you're not starting from a blank file.
The 6 Steps
Define
Agent purpose, channel, and personality
Configure
Two configuration files created (AGENTS.md + SOUL.md)
Build
Running agent connected to your LLM
Test
5 verification tests passed
Deploy
Locally deployed and responding to messages
Verify
Confirm it works as intended
3 Starter Templates Included
Personal Assistant
Task management and scheduling
Email Drafter
Compose contextual responses
Research Monitor
Watch sources and surface insights
What Comes Next
You built Level 1. It works. Now: why will it break in production?
The Error Handling Patterns ($7) gives you 5 production-tested patterns for the most common agent failures. Or run the Production Agent Checklist ($5) against what you just built and see where the gaps are.
Want it built, not taught?
Skip the ladder. Our consulting team deploys the same methodology directly in your operation — starting with a $2,500 Work Audit.
Build Your First AI Agent
From zero to a running AI agent in 30 minutes. 6 steps. Working agent at the end.
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