Product teardowns, agentic AI deep-dives, and honest lessons from shipping intelligent systems in production. No hype — just what actually works.
Confluence stores your company's brain — but its search is so broken that people ask Slack instead. This is a deep dive into why the current system fails, and a concrete semantic + AI redesign proposal that would actually work. Includes a proposed RAG architecture, UX wireframes in words, and why embedding-based search changes everything for enterprise knowledge management.
B2B SaaS companies lose 30% of customers in the first 90 days — not because the product is bad, but because onboarding is generic. Here's how an LLM co-pilot changes that.
Shipping an LLM product in a large enterprise is nothing like building in a startup. Honest lessons from shipping a RAG-based tool for 1,000+ internal users — what worked, what nearly killed it.
LangGraph vs CrewAI vs AutoGen — a practical comparison of agent frameworks for production use. When each framework shines, and what they all get wrong.
Chunking strategy, retrieval quality, prompt design, and hallucination mitigation — the four places where enterprise RAG deployments fall apart, with concrete fixes for each.