Interactive lesson~20 minAdvanced
AI Agents & Tool Use
AI agents combine language models with tools, memory, planning loops, and feedback. The hard part is controlling action, not producing text.
ReActFunction callingMemory
Mental model
An agent is a model wrapped in a decision loop.
Tool-using assistants can search, write code, operate apps, schedule work, and recover from mistakes.
Task completion
balanced70% modeled signal
Safety
balanced72% modeled signal
Recovery
balanced63% modeled signal
Concept pipeline
Build the idea in four moves
Interactive lab
Design an agent loop for research and code edits.
Goal
Clarify task, constraints, and success signal.
Focus lens
The part that usually clicks late
Tool contracts
Typed tools reduce ambiguous actions.
Task completion
70
Safety
72
Recovery
63
Knowledge check
What makes an LLM into an agent?
Next horizon
Where this topic is headed
Computer-use agents
Persistent memory
Verifier-guided planning