What does agentic AI mean?

Agentic AI describes AI systems that can independently plan and execute multi-step tasks. Rather than answering a single question, agentic AI breaks down a goal, selects tools, takes actions, and adapts based on results - much like a human employee working through a project.

How is agentic AI different from generative AI?

Generative AI creates content (text, images, code) in response to a prompt. Agentic AI goes further by using that generative ability within a planning loop - it decides what to generate, when to use tools, and how to sequence actions to complete a real-world task.

What are examples of agentic AI in business?

Examples include AI agents that autonomously manage email inboxes, AI that researches prospects and sends personalized outreach sequences, and AI coworkers like Cole that coordinate across tools to handle scheduling, travel booking, and project updates.

AI Fundamentals

Agentic AI

Agentic AI refers to artificial intelligence systems that can autonomously plan, reason, and execute multi-step tasks with minimal human intervention.

Agentic AI represents a shift from passive AI - where a model waits for a prompt and returns a single answer - to active AI that pursues goals over time. An agentic system breaks down complex objectives into subtasks, selects tools, handles errors, and iterates until the job is done.

This paradigm is what makes modern AI coworkers possible. Instead of asking "What should I write in this email?", you tell an agentic AI "Follow up with everyone who attended yesterday's meeting" and it handles the rest: looking up attendees, drafting personalized messages, and sending them through your email account.

Agentic AI combines large language model reasoning with tool use, memory, and planning loops. Platforms like Pocodot build on this architecture so that business users get the benefits of autonomous task execution without needing to understand the underlying technology.

How Cole uses agentic ai

Cole, Pocodot's AI coworker, leverages agentic ai as part of its core capabilities. Working across 6 messaging channels with 3,500+ tool integrations, Cole applies these concepts to handle real business tasks - from email management and scheduling to research, follow-ups, and team coordination. Instead of learning the theory yourself, you get the practical benefits through natural conversation.

See Cole in action