I built a system of AI agents that behave like real users—reviewing designs, finding friction, and surfacing insights instantly. This might be the future of product development.
FeaturedJob is a bundle of tasks, AI will take care of certain tasks of your job role. Not your complete job
FeaturedHow do AI assistants remember users? Explore memory architecture, context management, and hierarchical memory design powering modern AI agents.
FeaturedA practical breakdown of AI agent architecture, planning strategies like ReAct, memory systems, and how agents differ from RAG pipelines.
FeaturedUnderstand Retrieval Augmented Generation (RAG) through a simple open-book vs closed-book exam analogy. This beginner-friendly guide explains how RAG overcomes AI knowledge cutoffs using retrieval and generation, introduces TF-IDF relevance scoring mathematics, and shows how modern AI systems access external knowledge to deliver accurate, up-to-date answers.
FeaturedLearn how to design a high-accuracy RAG architecture for clinical decision support systems. This article explains hybrid search, medical embedding, chunking strategies, safety mechanisms, evaluation frameworks, and key product trade offs between accuracy, latency, cost, and evidence quality when building AI systems for healthcare applications.
FeaturedChunks loose context when split from original document
FeaturedQuery rewriting brings token expansion but eventually brings accuracy and savings in overall queries made to the system