If you’ve ever felt underwhelmed by the output you get from ChatGPT, you’re not alone. Most people type in a prompt, get a generic answer, and assume the tool’s just not that great. But here’s the shift that changed my workflow: I stopped typing and started talking.
Literally.
Speaking to AI—using tools like Super Whisper, Voice Notes + Descript, or even just audio transcription—consistently yields smarter, more contextual responses. Why? Because when you talk, you think differently. You add detail. You ramble in ways that reveal insight. You skip the performative polish and just say what you mean.
AI responds better to that.
The Spoken Word Has More Context Built In
When you type, you edit yourself. You try to be efficient. You shorten thoughts. But when you speak, especially off the cuff, you naturally include more context—how you feel about something, the nuance of a challenge, the backstory behind an idea. That’s gold for AI.
Here’s a simple example:
Typed Prompt: “Write a blog post about product-led growth.”
Spoken Prompt (via voice tool): “I want to write a blog post on product-led growth, but not the standard explainer. I just got off a call with a founder who’s struggling to scale without a sales team, and I think there’s a story in how PLG can solve that—but only if you approach onboarding right…”
The difference? Depth. Direction. Personal connection. That gives AI something to work with.
Tools That Help You Speak to Create
If you want to try voice-based prompting, here’s what I recommend:
Super Whisper: Transcribes voice recordings with high accuracy
Descript: Lets you record and edit audio or video for transcripts
ChatGPT voice input (mobile) or Mac Dictation: For fast spoken prompts
Claude + Whisper integration (coming soon in many workflows)
You don’t need a fancy setup—just record a voice memo, upload it, and let the AI handle the rest.
My Real-World Workflow
Here’s how I use this in a typical week:
Record voice notes whenever I have a content idea (often while walking)
Upload them to Super Whisper and get an instant transcript
Feed the transcript to ChatGPT with a structured prompt (e.g. “extract the most insightful ideas from this voice note and summarize them for a LinkedIn post”)
Review the output, make light edits, and publish
The time savings? Massive. The quality lift? Even bigger.
Bonus: Talk, Then Prompt
Sometimes I even talk to ChatGPT, dictating what I want it to do before it writes the prompt. Something like:
“Okay, here’s the context. This founder wants a blog post, but she’s been burned by generic AI writing. Her tone is bold but not cheesy, and her audience is marketers who’ve seen it all. I want to help her stand out by anchoring the piece in a real customer conversation. Can you help me shape a prompt for that?”
Let the AI write its own prompt from what you said. Nine times out of ten, it will craft something more effective than what you would have typed.
Final Thought: Speak First. Edit Later.
If you’re stuck staring at a blinking cursor or overthinking every prompt, stop. Hit record. Talk through your idea. Say what you mean like you're explaining it to a teammate. Then hand it off to AI.
This isn’t about being faster for the sake of speed—it’s about capturing the clarity that comes when you speak from experience. The authenticity. The momentum.
Because better content doesn’t always start with better writing.
Sometimes, it starts with your voice.