Sherlogic Episode 001 provides a practical walkthrough on how to collect, structure, and analyse source material from jaynesbabybank.co.uk using modern AI-assisted research tools. This episode is designed as an entry-level guide for those looking to build evidence-based reports and carry out real-time fact-checking using publicly available information.

Watch the Episode

YouTube video

Tool Used

Google NotebookLM
Access the tool here

What the Video Covers

The episode demonstrates a complete workflow, moving from raw data collection through to structured analysis and reporting.

Source Acquisition

  • Importing content directly from jaynesbabybank.co.uk
  • Saving web pages as PDFs to bypass access restrictions
  • Adding supporting materials such as YouTube videos, transcripts, archived documents, and images
  • Incorporating external records including regulator documents and FOIA releases

Data Structuring

  • Uploading multiple source types into a single workspace
  • Creating a centralised dataset for investigation
  • Allowing AI to interpret and connect different data points automatically

AI-Driven Analysis

  • Querying data to extract key claims, timelines, and contradictions
  • Cross-referencing statements using transcripts and historical records
  • Identifying inconsistencies across different sources

Report Building

  • Generating structured reports, summaries, and overviews
  • Using AI to highlight patterns not immediately visible
  • Producing supporting outputs such as mind maps and video summaries

Investigative Techniques

  • Using a subject’s own statements as primary evidence
  • Building timelines of claims and events
  • Cross-referencing independent sources against self-reported information
  • Maintaining archived material to prevent loss or deletion

Requirements

  • A desktop or laptop is recommended due to the volume of data
  • Access to Google NotebookLM
  • Source material such as website pages, transcripts, and documents
  • Basic ability to structure data and ask targeted analytical questions

Purpose

The aim of this episode is to demonstrate how OSINT methods can be enhanced using AI tools to perform real-time fact-checking, build structured investigative reports, analyse large datasets, and identify inconsistencies within public claims.

The methodology shown is transferable and can be applied to any subject where sufficient source material exists.

Sherlock…

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