Break down long documents into evidence-backed reports

DeepRead turns long-form material into an evidence-first reading report. Instead of producing an untraceable summary, it separates claims, evidence, data, examples, assumptions, counterarguments, and limitations into distinct, traceable components. The workflow supports five modes: quick orientation, deep argument analysis, knowledge mapping, Feynman explanation, and whole-book synthesis.

Use DeepRead when you need to analyze long-form content and trace the provenance of claims, evidence, and arguments rather than simply getting a condensed version. It is ideal for academic papers, research reports, technical documentation, books, and any material where understanding the structure of reasoning matters as much as the conclusions. The five modes let you choose the depth: quick orientation for rapid context, deep argument analysis for evaluating reasoning, knowledge mapping for conceptual structure, Feynman explanation for teaching clarity, and whole-book synthesis for comprehensive works.

Do not use DeepRead when you simply need a brief summary without evidence tracing, or when the source material is already highly structured data that does not contain arguments or claims requiring analysis.

You provide long-form material through the host agent's available file, PDF, OCR, and web-reading tools. DeepRead retrieves and processes only content that was successfully accessed - it never invents source content that was not retrieved.

You receive an evidence-first reading report that separates claims, evidence, data, examples, assumptions, counterarguments, and limitations. The output format depends on the mode selected: orientation summaries, argument breakdowns, knowledge maps, explanatory frameworks, or comprehensive book syntheses.

DeepRead uses the host agent's available file, PDF, OCR, and web-reading tools to access source material. It works with whatever document ingestion capabilities your AI assistant provides, adapting to the tools present in your environment.

DeepRead serves researchers, analysts, students, and knowledge workers who need to understand not just what a text says, but how it builds its case. It is built for anyone who must evaluate arguments, trace evidence chains, or teach complex material to others. Unlike standard summarization tools that compress content, DeepRead unpacks the logical structure and makes the reasoning visible and verifiable.