Tutorials: Agentlab
Learn Agentlab step by step.
- Review an AI agent before launch in 10 minutesOpen the customer-support template, let Agentlab run five AI tools on it, then read the release verdict, the six areas and the findings that block the launch.Beginner 10 min
- Audit MCP permissions and catch tool-definition driftMap what an agent can reach from its MCP configuration, keep secrets out of the project, inspect a server with tool poisoning and get warned when its tools change.Intermediate 12 min
- Release gates for a new prompt or model versionCompare two prompt versions on eval sets with McNemar tests, batch-validate structured outputs and turn your quality bar into gates that pass or fail.Intermediate 12 min
- Check RAG citations and fact-check AI answersVerify every sentence of a RAG answer against the chunks it cites, then split an answer into claims and check them against your own sources.Beginner 8 min
- Pick a model and plan the bill with cost sweepsFilter models by the features you need, turn the matches into a priced cost scenario, sweep the traffic from 0.25× to 8× and compare two scenarios side by side.Intermediate 10 min
- Make docs readable for AI agents and test tool routingScore pages for answer engines and agents, find JavaScript-only shells and blocked bots, and measure how often typical requests reach the right tool.Beginner 8 min
- Projects, reports, sharing and automationSave and share Agentlab projects, import data from files and other apps, export reports and reminders, and build projects from scripts or AI agents.Advanced 10 min