Exhibition
How AI Agents Work
Agents run a loop: understand the task, plan, act via tools, check progress, and report. Visible steps (not hidden chain-of-thought) help you trust and learn the system.
Typical agent loop
- Parse your request and ask clarifying questions if needed
- Draft a plan with milestones
- Call tools: search, read files, run code
- Evaluate output against the goal
- Retry or escalate to you for approval
How AI agents use tools
The model emits structured tool requests. A runtime executes them and returns JSON or text results—similar to APIs. MCP standardizes this across products.
Human in the loop
Payments, emails, and production deploys should require explicit approval. Good agents surface risk and pause when uncertain.
AI agent playground
Use the interactive demo on MEAGENT or open a product guide—start with a small, low-risk task.
AI agent playground