Module 0: The Definition
Welcome, Architect. Standard LLMs just talk. Agents do work. An Agent is a system where the LLM's output controls the workflow.
Simulation: "The Hello World of Agency"
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Module 1: The Chain
Linear Logic. If we ask an AI to do everything at once, it hallucinates. We must break the task into sequential steps.
Simulation: Chain Reactor
Idea Gen
→
Niche Drill
→
Decision Gate
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Module 2: The Router
Traffic Control. Generalist models are slow. Route queries to specialized experts for better accuracy.
Simulation: The Switchboard
Refund Specialist
General Chat
Data Analyst
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Module 3: Parallelization
Speed. Processing a massive contract linearly takes forever. Split it into shards and process concurrently.
Simulation: The Hive Mind
Est. Time: 5.0s
Cost: $0.05
*Note: Parallelization improves latency, not reasoning depth.
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Module 4: The Loop
Self-Correction. Agents make mistakes. An Evaluator-Optimizer loop forces the agent to fix its own work.
Simulation: The Code Forge
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SENIOR ARCHITECT
CERTIFICATION GRANTED
"You didn’t build an agent.
You designed constraints that made intelligence possible."