What you actually need to build and ship AI-powered apps in 2025

The AI application landscape has expanded significantly, now ready for enterprise deployment. Despite numerous providers, all production AI apps rely on four core layers: compute/foundational models, data/retrieval, deployment/orchestration, and observability/optimization. Effective AI apps require attention to frontend streaming, backend orchestration, vector search, and monitoring. Developers must decide on single vs. multimodal AI, real-time vs. batch processing, and caching strategies. A practical approach starts with a simple prototype, gradually adding functionality while addressing cost, reliability, security, and compliance.