AGENTIC AI SIMULATOR

Explore the difference between reactive chatbots and truly agentic AI systems. See how autonomous agents plan, adapt, and execute complex tasks.

Reactive AI

Traditional Chatbot

  • Responds to direct questions
  • Follows explicit instructions
  • No memory between conversations
  • Requires step-by-step guidance
  • Single-turn interactions
Agentic AI

Autonomous Agent

  • Goal-oriented planning
  • Persistent memory across sessions
  • Self-reflection and adaptation
  • Autonomous decision-making
  • Multi-step task execution
Interactive Scenario Simulator

Sales Negotiation

Complex business objective requiring strategy and execution

Customer Support

Problem-solving scenario requiring investigation and solutions

Market Research

Information gathering and analysis task

Recruiting Assistant

Multi-stage process with decision-making

The Four Pillars of Agentic AI

Goal-Oriented Planning

Breaks down complex objectives into actionable steps and creates comprehensive execution strategies.

Persistent Memory

Remembers context, preferences, and previous interactions across sessions to provide continuity.

Self-Reflection

Analyzes outcomes, learns from failures, and adapts strategies based on results and feedback.

Autonomous Decision-Making

Makes judgment calls with incomplete information and operates independently under uncertainty.