Advanced speech-to-text apps like Whisperflow enable a new workflow: go for a walk, ramble your thoughts on a topic, and then feed the raw transcript to another AI to structure it into a polished blog post or book chapter, decoupling writing from a desk.
Instead of manually taking notes during research, use an LLM with a large context window (like Gemini) to process long video transcripts. This creates a searchable, summarized chat from hours of content, allowing you to quickly pull key points and unique perspectives for your own writing.
AI shouldn't replace your voice; it should be treated like an intern that handles repetitive, time-consuming tasks. Use it to create outlines or summarize notes, then inject your unique personality, stories, and humor. This combines AI's efficiency with your essential human connection.
Amy Porterfield dictates her personal stories to ChatGPT, then prompts it to extract the key parts into a concise draft. This uses AI as a partner for clarity and structure while preserving her authentic voice, avoiding soulless, AI-generated content.
To gain a macro perspective, Melanie Perkins does an "AI walk." She goes for a walk and dictates all her thoughts on her phone using a notes app. Later, she uses AI to summarize the brain dump, helping her filter ideas, identify action items, and think more strategically.
Instead of typing, dictating prompts for AI coding tools allows for faster and more detailed instructions. Speaking your thought process naturally includes more context and nuance, which leads to better results from the AI. Tools like Whisperflow are optimized with developer terminology for higher accuracy.
Using a non-intrusive hardware device like the Limitless pendant for live transcription allows for frictionless capture of ideas during informal conversations (e.g., at a coffee shop), which is superior to fumbling with a phone or desktop app that can disrupt the creative flow.
Every customer call is a potential blog post. An AI workflow systematically redacts all sensitive and identifying information from call transcripts, then rewrites the core use-case discussion into an SEO-optimized article. This creates a scalable content machine fueled by real customer problems, generating thousands of posts.
Configure a voice memo app like Whisper Memos with trigger phrases. Starting a memo with "Article Idea" can automatically send the transcription to a specific Zap that processes it into an article outline in your notes app.
The most effective use of AI in content is not generating generic articles. Instead, feed it unique primary sources like expert interview transcripts or customer call recordings. Ask it to extract key highlights and structure a detailed outline, pairing human insight with AI's summarization power.
Shift away from the traditional model of drafting content yourself and asking AI for edits. Instead, leverage the AI's near-infinite output capacity to generate a wide range of initial ideas or drafts. This allows you to quickly identify patterns, discard unworkable concepts, and focus your energy on high-level refinement rather than initial creation.