Build AI Apps with LangChain
Interactive AI lesson11 min · Lesson 1 of 4
Understand the building blocks of an LLM app
A LangChain application coordinates a model, prompt, data and application logic. Begin with the simplest chain that transforms a known input into a useful output.
What you’ll learn
- Prompt templates create repeatable inputs
- Models generate or transform content
- Output parsers create predictable structures
- Application code controls the workflow
Minimal chain
Input: a customer email. Prompt: extract intent and urgency. Model: generate the classification. Parser: return {intent, urgency, reason}. Application: route the case for review.Hands-on activitySketch a chain that converts a student problem statement into a structured product brief.
Knowledge check
What makes a chain useful?