We stopped writing prompts. We started recording conversations.

Stop Apologizing for AI: Build Strong Core Documents and Iterate with TranscriptsTwo founders discuss why people still apologize for using AI—often to avoid seeming lazy or to preempt mistakes in generic AI output—and note visible tells like default slide layouts and em dashes, which they no longer try to hide. They explain how to set an “AI for everything” expectation inside a company, including onboarding a non-technical sales hire by giving him core documents and an AI that can generate needed assets instead of preparing slide decks manually. They argue AI produces “garbage” when given no business context and that prompting is a skill, but a simple approach is to create concise, aligned value proposition and brand voice documents through an iterative process: record round-table discussions, transcribe locally (e.g., iPhone Voice Memos plus Whisper), and feed transcripts back to AI to refine. They emphasize owning AI outputs and integrating iteration inside the AI workflow.00:00 Why Apologize for AI00:51 Owning AI Artifacts01:39 Setting Team Expectations03:28 Why AI Outputs Feel Generic04:14 Build Solid Core Docs05:34 Roundtable Recording Method07:46 Simple Tools and Privacy09:52 Brand Voice Playbook11:29 Iterate and Constrain Models14:14 Concise Docs Win16:06 Own the Output17:25 Wrap Up and Next Time This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit trustedintelligence.substack.com