Real-World AI Applications

Introduction

Agentic AI is already deployed across coding, support, sales, research, gaming, healthcare, finance, security and government. Knowing real systems helps you pick the right pattern for your project.

Beginner analogy: instead of imagining what AI could do, look at what it does today — and clone the pattern that fits your problem.

Understanding the topic

Core concepts:

• Coding: Devin, Cursor Agent, Copilot Workspace.
• Support: Intercom Fin, Salesforce Agentforce, Klarna AI assistant.
• Research: Perplexity Pro Search, OpenAI Deep Research, Elicit.
• Sales: 11x.ai, Artisan, AI SDRs.
• Browser automation: OpenAI Operator, Anthropic Computer Use.
• Finance: BloombergGPT, JPMorgan Athena.

Syntax reference

Visual workflow / architecture:

┌──────────────┐  ┌──────────────┐  ┌──────────────┐
│  Coding      │  │  Support     │  │  Research    │
│  Devin, Cursor│  │  Fin, Agentf │  │  Perplexity  │
└──────────────┘  └──────────────┘  └──────────────┘
┌──────────────┐  ┌──────────────┐  ┌──────────────┐
│  Sales       │  │  Browser     │  │  Finance     │
│  11x, Artisan│  │  Operator    │  │  Bloomberg   │
└──────────────┘  └──────────────┘  └──────────────┘

Real-world use

Klarna's AI handles 2/3 of all customer chats. Devin closes real GitHub PRs. Operator books restaurants and orders groceries on real websites.

Best practices

• Pick one vertical and learn one production deployment deeply.
• Always read post-mortems — that's where the real lessons live.

Common mistakes

• Building horizontal 'do everything' agents — verticals win in production.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Name three agent products shipped to real users.
• Q2. Which vertical has the most mature Agentic AI today?
• Q3. Scenario: pitch an Agentic AI use case for your industry.