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AI Architecture

A collection of 3 posts

Building an AI Research Agent That Actually Synthesizes (Not Just Summarizes)

Building an AI Research Agent That Actually Synthesizes (Not Just Summarizes)

AI research agents are getting very good at finding information. They can search dozens of websites, extract passages, summarize papers, compare documents, and generate polished reports in minutes. But finding and summarizing information is not the same as doing research. A system that summarizes ten sources may simply be compressing

The Cost of Complacency: The Imminent Legal Risks of Unvetted RAG Training Data

The Cost of Complacency: The Imminent Legal Risks of Unvetted RAG Training Data

Retrieval-augmented generation solved a real problem. Instead of retraining a model every time your knowledge base changed, you could index your documents, retrieve the relevant chunks at query time, and let the model reason over fresh, grounded context. It's efficient, it's flexible, and it's

Real-Time Streaming in Multi-Agent AI Systems: How It Works at Scale

AI Architecture

Real-Time Streaming in Multi-Agent AI Systems: How It Works at Scale

A single-agent chatbot streaming tokens to a user interface is a solved problem. The model generates, the tokens flow to the client, and the user watches the response build in real time. It's a pattern most teams implemented years ago and rarely think about anymore. Multi-agent systems break