Glossary

What is Agentic AI?

Autonomous AI systems that plan and execute multi-step tasks.

What is agentic AI?

Agentic AI refers to AI systems that can autonomously plan and execute multi-step tasks, use tools, and make decisions without human intervention at each step. Examples include coding agents, research agents, and customer service agents.

Agent Capabilities

  • Planning: Break complex tasks into steps
  • Tool use: Call APIs, search, execute code
  • Memory: Maintain context across interactions
  • Reflection: Evaluate and correct own outputs

Agent Risks

Autonomy introduces new failure modes:

  • Cascading errors: One mistake propagates through steps
  • Unintended actions: Agents may take unexpected paths
  • Resource abuse: Infinite loops, excessive API calls
  • Security: Prompt injection can hijack agent behavior

Monitoring Agents

  • Track each step in multi-step workflows
  • Detect hallucinations before they cascade
  • Monitor tool calls and their results
  • Set guardrails to block dangerous actions

Why monitor AI agents?

Agents make multiple decisions autonomously, compounding error risk. A single hallucination can cascade through subsequent steps. Monitor each step to catch issues before they propagate and cause larger failures.

Monitor agentic workflows

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