Agentic AI Tutorial 0/80 lessons ~6 min read Lesson 80
Production AI Case Studies
Eight production case studies to study deeply — what they shipped, what they learned, what broke.
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Focus
7 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
Eight production case studies to study deeply — what they shipped, what they learned, what broke. The shortest path to a senior agentic AI role is to absorb others' war stories.
Understanding the topic
Core concepts:
- Klarna AI assistant: 2/3 of all chats automated.
- Devin: planning + tool-use over many hours.
- Cursor: tight feedback loops + caching.
- OpenAI Operator: browser as a tool.
- Perplexity: retrieval-first answer engine.
- Notion AI: prompt-engineered features at scale.
- Intercom Fin: enterprise support automation.
- GitHub Copilot Workspace: multi-file plans.
Syntax reference
Visual workflow / architecture:
bash
case → architecture diagram → key lessons → your version
Real-world use
Each company has public engineering blog posts. Read them in order.
Best practices
- After each case, sketch the architecture from memory.
- List 3 lessons you can apply to your project.
Common mistakes
- Reading cases without applying — knowledge fades.
Hands-on exercise
Interview preparation — practice these questions:
- Q1. Pick one case — sketch the architecture from memory.
- Q2. Compare two cases on cost strategy.
- Q3. Scenario: which case is closest to your project? Why?
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