AI Agents Day 6: Development Setup and APIs
Move from agent design to working code with a safe API setup and your first model call.
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Turn an agent idea into a controlled design by defining what it knows, what it can do, and when it must ask for help.
Vertical scaling makes one machine bigger; horizontal scaling adds machines. Learn when each approach helps and what complexity it introduces.
Estimate traffic, storage, and bandwidth before choosing system components. This beginner-friendly worked example turns one million users into practical capacity numbers.
Context tells an AI agent what it needs to know; instructions tell it how to behave. Learn the difference and write a stronger request.
A beginner-friendly guide to load balancing, health checks, routing strategies and the limits of traffic distribution.
Understand the repeating loop that lets an AI agent use results and feedback to decide what to do next.
A beginner-friendly 30-day roadmap that turns system design into a structured journey from core building blocks to complete real-world architectures.
Break an AI agent into five understandable parts and map each one to a practical Study Planner Agent.
A chatbot is designed around a conversation. An agent is designed to pursue a goal through actions and feedback. Learn when that distinction matters.
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