AI Agent Learnings
From fundamentals to production-grade systems. Start with the basics or dive into advanced architecture patterns.
Getting Started
RookieWhat Are AI Agents?
Mental model for autonomous AI systems vs chatbots vs copilots
Prompt Engineering 101
System prompts, few-shot, chain-of-thought, structured output
Your First Agentic Workflow
Building a simple tool-using agent with function calling
AI-Assisted Productivity
Using agents for writing, research, code review, meeting prep
Understanding LLM Limitations
Hallucinations, context windows, cost, latency tradeoffs
Evaluating AI Tools
How to assess AI products as a user and buyer
Going Deeper
AdvancedMulti-Agent Architectures
Orchestrator patterns, agent handoffs, supervisor/worker models
Building Reliable Agents
Guardrails, error recovery, human-in-the-loop, eval frameworks
RAG & Knowledge Systems
Retrieval-augmented generation, vector DBs, chunking strategies
Agent Memory & State
Short-term vs long-term memory, conversation management, persistence
Scaling Agentic Products
Cost optimization, caching, routing, model selection at scale
AI Product Metrics
Measuring agent quality: task completion, accuracy, latency, user satisfaction