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🤖Agentic AI0/28

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

Back to HLD

27/28

mediumAgentic AI · Agentic AI 5 min read

Design: Education Tutoring Agent

Interactive — Try it yourself!

Multi-Agent System — Boss + Specialists in Action

Watch how a supervisor breaks a big task into small ones, hands each to a specialist, and combines the results. Each agent has ONE job.

🧑

User

Gives the big task

👔

Supervisor

Breaks task, delegates, combines

🔍

Researcher

Gathers facts via web search

✍️

Writer

Turns notes into prose

🧐

Critic

Reviews for quality

✉️ message

🧑 User→👔 Supervisor

User hands big task to Supervisor

“Write a 1-page report on AI trends in 2026.”

💡Beginner note: The user gives the supervisor a BIG task. The supervisor doesn't do it alone — it delegates.

Step 1 of 13

Why split into specialists?

Each agent has ONE job. This makes them faster, cheaper, and more reliable than one giant agent trying to do everything.

What does the supervisor do?

Keeps a mental model of who did what. It doesn't redo work — it coordinates, routes messages, and decides the next step.

Discussion

0 comments

0% completed

🔍Search

High-Level Design0/247

🤖Agentic AI0/28

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

Back to HLD

27/28

mediumAgentic AI · Agentic AI 5 min read

Design: Education Tutoring Agent

Interactive — Try it yourself!

Multi-Agent System — Boss + Specialists in Action

Watch how a supervisor breaks a big task into small ones, hands each to a specialist, and combines the results. Each agent has ONE job.

🧑

User

Gives the big task

👔

Supervisor

Breaks task, delegates, combines

🔍

Researcher

Gathers facts via web search

✍️

Writer

Turns notes into prose

🧐

Critic

Reviews for quality

✉️ message

🧑 User→👔 Supervisor

User hands big task to Supervisor

“Write a 1-page report on AI trends in 2026.”

💡Beginner note: The user gives the supervisor a BIG task. The supervisor doesn't do it alone — it delegates.

Step 1 of 13

Why split into specialists?

Each agent has ONE job. This makes them faster, cheaper, and more reliable than one giant agent trying to do everything.

What does the supervisor do?

Keeps a mental model of who did what. It doesn't redo work — it coordinates, routes messages, and decides the next step.

Discussion

0 comments