ai-agents
7 lessons tagged ai-agents: free, quiz-checked micro-lessons.
Building MCP Servers in Python and TypeScript
Learn to build Model Context Protocol servers from scratch using the official Python and TypeScript SDKs. Cover tool schemas, resource URIs, prompt templates, and how Claude Code, Claude.ai, and Cursor consume them.
Model Context Protocol: The Open Standard for AI Tool Integration
A deep dive into MCP — Anthropic's open protocol for connecting LLMs to external tools, data, and prompts. Covers JSON-RPC transport layers, the three core primitives, capability negotiation, and how to build a working server from scratch.
Agentic RPA and Computer-Use Agents: Benchmarks vs. Real Deployments
What measurable benchmarks say agentic software agents can actually do in 2026, what production deployments have publicly disclosed, the strongest skeptic case on the books, and how the EU AI Act reshapes the deployment math.
AI Agents in Scientific R&D: AlphaFold, Insilico, and the Reproducibility Bar
Where the evidence for AI in scientific discovery is strongest, where it is weakest, and how to tell them apart. Anchored on AlphaFold's peer-reviewed record, the 2024 Nobel Prize in Chemistry, and what AI-first drug-discovery companies have actually disclosed to investors.
Legal AI Agents: Adoption Patterns and Documented Failure Modes
Evidence on AI in legal practice: the Stanford RegLab hallucination benchmark of Westlaw and Lexis+ AI, the Mata v. Avianca and Park v. Kim sanctions cases, and what published ethics rules require.
Coding Agents: Productivity Studies, Benchmarks, and the METR Slowdown
Hard evidence on AI coding assistants: the Microsoft Research RCTs, METR's surprising 2025 slowdown finding, SWE-bench Verified, and why benchmark scores keep outrunning real-world value.
Customer Service AI Agents: What the Data Actually Shows
An evidence-led look at AI agents in customer support: the Brynjolfsson NBER RCT, Klarna's 2024 victory lap and 2025 walk-back, and what generalises beyond a single firm.