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
Start Free