In a recent LinkedIn post, Teresa Torres discusses the implications of AI-generated content watermarking and shares her own thoughtful approach to integrating AI into her writing and content production processes. Torres raises pertinent questions about the practical application of watermarking, particularly for written content.
“For writing, it’s a little murkier. If Claude proofreads an article and fixes some typos, does it get the watermark? What if Claude writes a first draft and a human heavily edits, will it still contain the watermark? Lots of questions here that I don’t see answered by Anthropic.”
Torres highlights the ambiguity surrounding AI’s role in editing versus original creation and how watermarking should apply in such nuanced scenarios. She emphasizes that while watermarking might be straightforward for visual media, its implementation for text presents significant challenges.
Navigating AI in Content Creation: Teresa Torres’s Framework
Despite the open questions about watermarking, Torres outlines a clear and responsible framework for how she leverages AI in her work for Product Talk articles. She uses AI as a tool for various stages of content development, from identifying content calendar gaps through SEO analysis to brainstorming headlines.
AI as a Creative Assistant
Torres explains that AI assists in drafting social media promotional posts, creating featured infographics, and generating illustrative images to enhance content comprehension. Furthermore, she utilizes AI for feedback on her writing and to fix typos, complementing the work of her human editor.
“I have twice used AI to help me draft stories from interview transcripts that I then used in blog posts.”
Her approach also extends to using AI for research to support blog posts and to help compile previous writings on a topic, which then informs new articles she authors. This demonstrates a strategic use of AI to augment, rather than replace, human creativity and expertise.
AI in Podcast Production
The application of AI in Torres’s podcast production is equally well-defined. She employs AI to generate essential elements like episode titles, descriptions, and show notes. AI also aids in drafting promotional social media posts for episodes and identifying key short clips for sharing on social platforms, including writing the accompanying text.
“AI never chooses the episode topics or episode content.”
Torres is adamant that AI does not dictate episode topics or content. For her podcast ‘Just Now Possible,’ she personally selects every participating team and maintains a consistent set of questions. Similarly, for ‘All Things Product,’ she and co-host Petra Wille have complete control over topics, with conversations being entirely unplanned and authentic.
Defining Boundaries: When AI is Not Used
Crucially, Torres draws firm lines on where she believes AI should not be used in her personal content creation. She explicitly states she never uses AI for:
- Personal social media posts (like the one being discussed)
- Article content intended to convey her personal point of view or opinion
- Social media comments or replies
This distinction underscores her commitment to authenticity and personal voice in key areas of her communication. As Torres notes, “I strive to always be transparent in how I use AI. If you ever have any questions about the origin of my content, feel free to ask.” This commitment to transparency is a cornerstone of her responsible AI usage philosophy, ensuring her audience understands the provenance of her published work.
📝 About This Content
This article is based on insights shared by Teresa Torres on LinkedIn.
📅 Originally posted on August 12, 2026 | View original post on LinkedIn →