AI apps have moved past simple chat boxes. Today's AI systems need agents, tools, memory, data,...
AI apps have moved past simple chat boxes. Today's AI systems need agents, tools, memory, data, security, monitoring, and scale.
The hard part is not calling an LLM API. The hard part is building a reliable system around that API call.
1. From LLM Demo to Production System
A demo is simple:
flowchart LR
Most AI tutorials teach you how to send a prompt to an LLM and display the response. That's enough...
Most developers have built an AI agent demo using LangChain or LlamaIndex. It takes less than fifty...
The architectural decisions that came before the agent — and an honest look at what a basic LLM...
Building an AI agent prototype is relatively easy. With an LLM, a retrieval pipeline, and several API...
Real lessons from building production AI agents. Not chatbots. Not demos. Agents that actually work.
AI agents are easy to demonstrate and yet surprisingly difficult to productionize for consistent...
