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What is Agentic AI?

Evolution: Chatbots → Copilots → Agents

The Agent Loop: Perceive → Think → Act

Agent Architecture Patterns

Tools & Function Calling

Memory Systems in Agents

RAG: Retrieval-Augmented Generation

Multi-Agent Systems

Agent Safety & Guardrails

Evaluating & Testing Agents

Design: RAG-based Q&A System

Design: Travel Planning Agent

Design: Personal Finance Agent

Design: Code Generation Agent

Design: Customer Support Agent

Design: Data Analysis Agent

Design: Workflow Automation Agent

Design: Document Processing Agent

Design: Multi-Agent Orchestrator

Design: Content Moderation Agent

Design: Recruitment Screening Agent

Design: Healthcare Triage Agent

Design: E-commerce Recommendation Agent

Design: Meeting Scheduler Agent

Design: Research Assistant Agent

Design: DevOps Incident Response Agent

Design: Education Tutoring Agent

Design: IoT Smart Home Agent

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mediumAgentic AI · Agentic AI 5 min read

The Agent Loop: Perceive → Think → Act

Interactive — Try it yourself!

The Agent Loop — See It In Action

Step 1 of 8

Task: “Book me the cheapest flight to Goa next weekend”

👀PerceiveRead the task

→

🧠ThinkLLM decides

→

🔧ActCall a tool

→

📡ObserveRead the result

↻After Observe, result loops back to Think

👀Cycle 1 · PerceiveAgent reads the user's request

"Book me the cheapest flight to Goa next weekend"

What's happening: The agent receives the task in plain English. No AI magic yet — just input.

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Evolution: Chatbots → Copilots → Agents

Agent Architecture Patterns