Build with AI
Hands-on project guides for building real AI systems. Each guide walks you through a complete implementation - from architecture decisions to working code.
How projects connect
Build in any order, or follow the path
Each project is self-contained, but building in order takes you from beginner foundations to advanced production patterns.
Project progression map
All projects
Pick a project and start building
Chatbot with Persistent Memory
What you'll build
A conversational assistant that remembers context across sessions using a simple key-value store and summarization.
Document Classifier with Zero-shot Prompting
What you'll build
A reliable classification pipeline that sorts incoming documents by type, topic, or urgency using structured LLM outputs.
RAG-Powered Knowledge Search Engine
What you'll build
A semantic search engine over your own documents using embeddings, a vector database, and retrieval-augmented generation.
AI-Enriched Data Pipeline
What you'll build
An automated pipeline that ingests raw data, enriches it with AI-extracted metadata, and loads it into a structured store.
Autonomous Agent with Tool Use
What you'll build
A goal-driven agent that plans multi-step tasks, selects and calls tools, observes results, and iterates until complete.
Multi-Agent Orchestration System
What you'll build
A coordinator that breaks complex tasks across specialized agents running in parallel, collects results, and synthesizes a final output.
Ready to go deeper?
Explore the patterns and principles behind every build guide. Or jump into industry solutions to see these patterns applied in production contexts.