A collection of guides covering production AI system architecture, real-world project case studies, and financial AI applications.
Five interconnected projects that build progressively sophisticated AI systems — covering the full lifecycle of production AI development: RAG pipelines, local optimization, observability, model customization, and real-time systems.
Real-world applications of the 5-project architecture in finance — from earnings report analysis and competitive intelligence through algorithmic trading systems.
Production case studies across industries including LegalTech, enterprise search, and document intelligence — showing how the architecture patterns apply in practice.
- Engineers building AI-first products
- Product managers evaluating AI system designs
- Architects designing enterprise AI infrastructure
- Production RAG (Retrieval-Augmented Generation)
- Hybrid retrieval (vector search + BM25)
- LLM evaluation and observability
- Fine-tuning and model customization
- Real-time AI systems
- Financial AI and earnings analysis