Sangram Birje·15h agoThe AI Agent Stack, Explained Like a Human BodyWhy a powerful model is only the brain, and what the rest of the body needs to be in place before an agent can do real work
Sangram Birje·2d ago5 MCP Server Use Cases Every Enterprise Should KnowOne protocol, any tool: how AI agents reach real systems safely, and where to start
Sangram Birje·5d agoThe RAG Family Tree15 retrieval patterns, what problem each one solves, and how to know when you need the next one
Sangram Birje·Nov 4The Hidden Journey of an LLM API RequestWhat happens between “send” and “response”, and why it matters for every AI application in production
Sangram Birje·Nov 2Reasoning Patterns for LLMsChain-of-Thought, ReAct, Tree of Thoughts and Self-Consistency, and how to choose the right one for your use case
Sangram Birje·Oct 28Vector RAG vs. Vectorless RAGSame question, two very different paths, and why the difference matters for enterprise AI
Sangram Birje·Oct 26The Only AI Learning List You’ll Ever Need38 free resources to learn AI, from first principles to production agents, and how to use them without getting overwhelmed
Sangram Birje·Oct 23The AI Agents Evaluation RoadmapWhy a successful demo is not proof that your agent is ready for productionA response icon1A response icon1
Sangram Birje·Oct 21Why the model is only one decision out of eight, and often not the one that decides successWhen an organisation starts an agentic AI project, the first big debate is almost always about the model. Which provider? Which version…
Sangram Birje·Oct 1915 Data Concepts Behind Every AI SystemWhy your AI is only as good as the data foundation underneath it
