Hacker Dojo

In this hands on workshop (participants should bring a laptop) - participants will understand how to move beyond generic AI responses to build systems that intelligently use organizational knowledge.
You'll see the difference between context-aware AI versus standard AI responses.

Context engineering is the art of shaping the information and environment that an AI model sees so it can deliver the most accurate, useful, and aligned responses. By carefully crafting prompts, providing the right data, and structuring context, you turn a generic AI into a domain expert. It’s important because the quality of an AI’s output depends directly on the quality of the context it’s given—good context unlocks better insights, fewer errors, and more trustworthy decisions.

### What You'll Learn:

Build a production-ready context engineering system that makes AI responses intelligent and grounded in your specific data, rather than relying on generic training knowledge.

### What We'll Build:

• Document Processing Pipeline: Automatically monitor, chunk, and index organizational documents
• Intelligent Q&A System: Slack bot that retrieves relevant context and generates accurate, source-backed responses
• Live Context Updates: System that adapts when source documents change

### Key Technologies:

• n8n for workflow automation
• Pinecone for vector storage and semantic search
• OpenAI for embeddings and response generation
• Google Drive integration for document management
• Slack integration for user interaction

### Live Demo:

Update a document during the workshop and verify the AI's responses change in real-time, demonstrating dynamic context engineering.