Guide|
Guides
Build agent systems without guesswork.
Start with core concepts, move through use cases and system design, then go deeper on frameworks, protocols, security, evaluation, and rollout discipline.
Start here
Guide|
What Are AI Agents? Definition, Examples, and How They Work
Learn what AI agents are, how they work, how they differ from chatbots and copilots, and where they fit in real production workflows.
Learning path
Follow the guide sequence
02
See real workflows
AI Agent Examples: 12 Real Workflows and What They Teach Builders
03
Choose the first pilot
AI Agent Use Cases: Where Agents Actually Fit in Production
05
Build your first system
How to Build AI Agents: A Practical Guide for Production Teams
06
Choose your stack
AI Agent Frameworks: How to Choose the Right Stack for Your Use Case
07
Standardize tools and context
Model Context Protocol: What MCP Is, How It Works, and Why It Matters
08
Handle cross-agent handoffs
Agent-to-Agent Protocol: What A2A Is, How It Works, and How It Differs From MCP
09
Coordinate workflows safely
AI Agent Orchestration: How to Coordinate Tools, State, and Workflows
10
Split work across specialists
Multi-Agent Architecture: Patterns, Tradeoffs, and Reference Designs
11
Lock down the system
AI Agent Security: Risks, Controls, and a Production Checklist
12
Measure quality before scale
AI Agent Evaluation: How to Test, Measure, and Improve Agents in Production
Topics
Jump in by decision
Foundations
Start with definitions and real workflows
Separate real agent systems from chatbot theater, then study the jobs teams already automate well.
Start here before you score pilots, split roles, or shop stacks.
Pilot Selection
Choose the first workflow worth shipping
Turn examples into a real first sprint by scoring value, autonomy, risk, and approval needs.
Best when the question is what to test next, not what an agent is.
System Design
Map the control surfaces and specialist roles
Define the base architecture, decide when one agent is enough, and add orchestration only when the workflow needs it.
Use this lane once the pilot has to own state, retries, approvals, and handoffs.
Stack And Protocols
Choose the runtime, tools, and delegation layer
Compare frameworks, standardize capability access, and separate tool use from cross-agent delegation.
Use this lane when implementation details become the blocker.
Launch Controls
Ship with permissions, evaluation, and rollback paths
Attach rollout discipline to the build with tighter permissions, quality checks, and rollback paths.
Even strong stacks fail without security, measurement, and stop conditions.