AI Agents

Agent Evaluation at Scale

From spot-checks to continuous monitoring.

Agent-to-Human Handoff Patterns

When and how to escalate well.

Agent Memory Layers Compared

Working, episodic, semantic — what to persist where.

Agent Memory Systems

Short-term context vs long-term vector store vs structured memory.

Agentic Workflows: Moving From Chatbots to AI Agents That Can Browse the Web and Book Flights

Designing Hierarchical Multi-Agent Systems with google.adk.agents

LangGraph for Agent Orchestration

State machines for multi-step LLM workflows with checkpointing.

Multi-Agent Collaboration & Negotiation: Orchestrating Collective Intelligence

Multi-Agent Communication Protocols: The Language of Collaboration

Multi-Agent Systems: What Happens When a 'Developer' LLM Talks to a 'Reviewer' LLM?

ReAct Pattern Explained

Reason + Act loops for LLM agents and where they break.

ReAct Pattern Revisited

Reasoning + acting in 2026 — what survived.

The Rise of 'Thinking' Models: How Chain-of-Thought (CoT) Is Turning LLMs into Logic Engines

Tool Calling Best Practices

Designing tool descriptions retry policies and timeout handling.

Tool Use Failure Modes

Six ways agents call tools wrong.