Technical deep-dives, industry trends, and insights on building production-ready AI systems.
Your AI chatbot probably costs 3-4x more than it should. Between hidden fees, wasted API calls, and inefficiencies you can't see, here's where your money is going—and how to fix it.
Most companies rent their AI infrastructure and pay for it later. Here's why owning your AI stack is the only way to build a defensible, scalable business.
We're launching MicroAI—a production-ready intelligent communication layer for early-stage startups. Built on enterprise architecture principles, accessible at startup pricing.
Single-agent AI is table stakes. The next wave of intelligent products will be built on multi-agent architectures. Here's what's changing and why it matters for B2B SaaS.
RAG (Retrieval-Augmented Generation) is transforming how AI systems handle knowledge. Here's how it works, when to use it, and why it's often better than fine-tuning.
Should you hire an AI team, use an agency, or buy off-the-shelf tools? Here's the actual math for B2B SaaS companies adding intelligence to their product.
Most companies spend $10K-50K building AI chatbots that fail within 6 months. Here's why, and when chatbots actually make sense.
How we built an AI-powered interview preparation tool that delivers personalized coding hints using RAG architecture. Real metrics, real challenges, real solutions.