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BigSet is an open-source tool. You input a sentence describing the data you need, and it deploys multiple AI agents to research the web in parallel, automatically inferring schema, deduplicating, verifying, and generating a structured table. It supports scheduled refreshes.
RSS feeds, long used for podcasts, are becoming essential for AI agents that need deterministic, structured access to content without algorithmic interference or rate limits.
This paper presents a hybrid framework that combines structured clinical data with LLM-generated narratives for coronary artery disease prediction, achieving high fidelity in variable extraction and comparing ML models with LLM-based zero-shot and few-shot classification.
The author shares their vision for Orizn, a travel ecosystem designed to provide AI agents with verified, structured data and APIs for reliable travel planning, visa information, and itinerary organization.
DodoForm is a tool that converts speech, images, or handwritten notes into clean, structured data.
The author explains why they stopped using browser-based LLM agents to browse Hacker News, and built a plugin (MediaUse) that fetches structured data directly, saving tokens and focusing the model on analysis rather than navigation.
The article argues that AI agents need structured, accurate product descriptions beyond marketing slogans to make reliable recommendations, and questions who should provide and verify such data.
SDSR proposes lightweight self-describing structured data with dual-layer guidance to exploit LLM primacy bias, achieving 100% routing accuracy without vector DBs.