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Learning Lab

Master production agent workflows with empirical verification patterns

Safe sandbox for learning and building phased workflow skills with strict validation. Move beyond "LLM writes text" to "LLM executes validated procedures with evidence."

8 Learning Guides
11 Jupyter Notebooks
5 Phase System

What You'll Learn

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Test Harness Pattern

Understand the mental model behind evidence-based LLM workflows

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Multi-Phase Orchestration

Build workflows with strict validation gates between phases

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Empirical Verification

Use scripts to validate LLM outputs instead of trusting them

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Production Deployment

Take your workflows from learning lab to production systems

Guided Learning Paths

Advanced

3 hours

Deep dive into orchestration patterns

Reference

As needed

Visual maps and reference documentation

Interactive Jupyter Notebooks

Launch instantly in Google Colab - no local setup required

Agent Skills (5 notebooks)

Plugin Development (4 notebooks)

Orchestration Patterns (2 notebooks)

Getting Started

1

Read the Introduction

Start with GUIDE 00: Start Here to understand the mental model (5 min)

2

Choose Your Path

Pick Beginner, Advanced, or Reference based on your experience level

3

Try Jupyter Notebooks

Launch interactive tutorials in Google Colab - no setup required

4

Build Your Own

Adapt the reference implementation for your production use case