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Foundations / Implementation

Learn the best AI agent use cases for product, ops, engineering, and support teams, plus how to choose the right autonomy level, architecture, and rollout path.

Foundations

Explore concrete AI agent examples across coding, research, support, operations, sales, and personal productivity, with tools, autonomy level, and build lessons.

Protocols

Learn what Agent-to-Agent Protocol is, how A2A handles cross-agent communication, and when builders should care about A2A versus MCP.

Security

Learn how to secure AI agents against prompt injection, over-permissioned tools, unsafe memory, insecure handoffs, and risky outputs with practical controls.

Architecture

Learn how AI agent architecture works across models, tools, memory, orchestration, guardrails, and multi-agent patterns with practical reference designs.

Evaluation

Learn how to evaluate AI agents with task-based evals, regression checks, human review, and production metrics across tools, safety, latency, and cost.

Implementation

Learn AI agent orchestration patterns for coordinating state, tools, retries, approvals, and multi-step workflows without overbuilding your stack.

Protocols

Learn what Model Context Protocol is, how MCP clients and servers work, and when it beats bespoke tool integrations for AI agents.

Roundups / Frameworks / Protocols

This week's AI agent launches for builders include Google ADK 2.0 alpha, A2A 1.0, OpenAI Agents 0.13, Mastra 1.14, CrewAI 1.11.1, and more.

Protocols / Interoperability

A2A v1.0.0 adds tasks/list, modern OAuth flows, multitenant gRPC support, and breaking spec cleanup. Here is what agent builders need to test.

Frameworks / Orchestration

Google ADK 2.0 alpha introduces graph-based workflow orchestration and structured task delegation. Here is what it changes for AI agent builders.