Practical blueprint for an AI content personalization API: architecture, endpoints, models, metrics, latency, and safety—built to scale.
Build a production-ready AI email assistant: architecture, Gmail/Graph integration, LLM prompts, security, reliability, and code examples.
Design a production-grade AI marketing copy generation API: architecture, prompts, guardrails, evaluation, and code examples.
A practical blueprint for building scalable, safe AI support chatbots—from NLU and RAG to orchestration, guardrails, and observability.
A practical, end-to-end guide to RAG evaluation metrics—from retrieval and grounding to faithfulness, relevance, and online impact.
Practical strategies to optimize LLM context windows—reduce cost and latency while preserving accuracy with RAG, chunking, compression, caching, and evaluation.
