Summary  
This chapter covers automating the extraction and structuring of key findings from text sources by parsing documents, tagging each finding with metadata (source, research question, context), and organizing the results for downstream use.

General domain of usage  
Academic research and evidence synthesis

Key findings are the most relevant facts, statistics, examples, and conclusions from your approved sources.

Each finding should include:

* the finding itself;
* the source it came from;
* the research question it supports;
* any useful context or limitations.

This makes the evidence easier to compare and use in the final report.

> ### Task
> 
> * Ask Claude to extract and organise the most important findings from the approved sources.
> 
>   > **Review the approved sources in my workspace. Extract the key findings that answer the research questions, connect each finding to its source, and save them in the findings folder.**

Build a complete AI-powered research system using Claude Code. You will learn how to turn a broad topic into focused research questions, create a structured plan, find and evaluate reliable sources, and organise evidence in a reusable workspace. Through practical AI Lab chapters, you will create source libraries, compare conflicting information, store findings in a research database, and produce clear research briefs with accurate citations. By the end of the course, you will have a repeatable Claude Code workflow that can be used for future research projects.

Learn what makes a research system reliable and how to prepare a structured workspace before collecting information. You will define research questions, set the scope of the project, and create a clear research plan for Claude to follow.

Learn how to find relevant information and judge whether a source is trustworthy. You will remove weak, outdated, and duplicate sources before organising the strongest results into a structured source library.

Turn collected sources into clear and usable evidence. You will extract key findings, compare sources that disagree, and build a research database that keeps claims, evidence, and source details connected.

Use the collected evidence to develop supported conclusions and create a concise research brief. You will review claims and citations for accuracy before turning the complete process into a reusable Claude Code workflow.