AgentReady

AgentReady is a preprocessing service designed to convert messy, token-heavy HTML into clean, structured data optimized for large language models. Its primary purpose is to reduce token usage and improve model performance by stripping away layout noise and extracting only the content that matters. This enables developers to feed AI systems dense, semantically meaningful input instead of raw, unfiltered web pages or application HTML.

The platform automatically parses HTML, identifies relevant text, metadata, and structural elements, and returns a compact representation suitable for LLM consumption. It can normalize content into concise JSON or other structured formats, preserve hierarchy where needed (such as headings, sections, and tables), and discard unnecessary markup, scripts, and styling. AgentReady is designed to be integrated into existing pipelines via API, allowing teams to preprocess documents, dashboards, or app interfaces at scale. By reducing redundant tokens and focusing on information density, it helps lower inference costs and improves the reliability of downstream reasoning and extraction tasks.