Episode: 00303 Released on January 26, 2026 Description: Debbie Osborne returns to Analyst Talk to break down something few analysts have attempted: using AI to help write and publish a professional book. Debbie breaks down how she built the book, from structuring the content and collaborating with generative AI to validating sources, avoiding plagiarism, and working through the editorial process for a second edition with an academic publisher. This conversation tackles the real questions analysts have about AI,...
Episode: 00303 Released on January 26, 2026 Description: Debbie Osborne returns to Analyst Talk to break down something few analysts have attempted: using AI to help write and publish a professional book. Debbie breaks down how she built the book, from structuring the content and collaborating with generative AI to validating sources, avoiding plagiarism, and working through the editorial process for a second edition with an academic publisher. This conversation tackles the real questions analysts have about AI, including authorship, credibility, transparency, and trust. Debbie explains why AI did not replace her expertise, but expanded what was possible, allowing one analyst to build a comprehensive crime pattern resource that would normally require an entire team. If you are curious about using AI for serious analytical writing, research, or professional legacy projects, this episode is a must listen. 🎧 Listen, share, and keep talking! [Note: Description produced by ChatGPT.]
Name Drops: Christopher Cruz (00:21:58), Chris Wheaton (00:20:15), David Jimenez (00:31:58)
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Related Links:
https://deborahosborne.com/
Contact: https://www.linkedin.com/in/deborah-osborne-ba9735368/
Transcript: https://mcdn.podbean.com/mf/web/ad7in7r727ih9ji5/DebbieOsborneAIBookProcess_Transcript.pdf
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00:00:17 – Welcome back Debbie Osborne
00:02:03 – The idea behind writing a crime-patterns book
00:06:40 – From asking questions to structuring a full book
00:12:43 – The biggest surprises AI introduced
00:15:05 – Creating consistent structure across chapters
00:18:24 – Break: Podcast Listener Feedback Survey
00:19:05 – Bibliographies, sourcing, and plagiarism checks
00:23:00 – Authorship, validation, and AI skepticism
00:29:09 – Why AI enables projects humans couldn’t do alone
SEO Keywords: crime analysis, artificial intelligence, AI in law enforcement, writing with AI, generative AI, ChatGPT, Claude AI, crime patterns, modus operandi, analyst professional development, law enforcement research, analyst textbooks, AI ethics, AI authorship, crime analysis training
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