Agentic AI
AI systems that can autonomously plan, reason, and execute multi-step tasks with minimal human intervention.
Agentic AI represents a paradigm shift from traditional AI that simply responds to prompts. These systems can break complex goals into steps, use tools, make decisions, recover from errors, and take actions in the real world — all with minimal human oversight.
Unlike a standard chatbot that answers one question at a time, an agentic AI system can: analyze a problem, create a multi-step plan, execute each step using available tools (APIs, databases, web search), evaluate the results, and adjust its approach if something doesn't work.
Key characteristics of agentic AI include: goal-oriented behavior (working toward outcomes, not just responding), tool use (calling APIs, searching the web, executing code), planning and reasoning (breaking tasks into steps), memory (retaining context across interactions), and autonomy (operating with minimal human guidance).
Examples include AI agents that qualify sales leads through multi-turn conversations, research assistants that gather and synthesize information from multiple sources, and customer support agents that diagnose and resolve issues by interacting with backend systems.
Agentic AI is the foundation of modern AI agent platforms like Chipp, where builders create agents that don't just chat — they take meaningful actions on behalf of users.
Related Terms
AI Agents
ApplicationsAutonomous AI systems that can perceive their environment, make decisions, and take actions to achieve specific goals.
AI Orchestration
InfrastructureThe coordination of multiple AI models, tools, and workflows to accomplish complex tasks that require multiple steps and capabilities.
Function Calling
ArchitectureThe ability of AI models to identify when a conversation requires calling an external function or API, and to generate the structured parameters needed to make that call.
Chain of Thought
TechniquesA prompting technique that improves AI reasoning by asking the model to show its step-by-step thinking process before arriving at an answer.
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