Resonant + ChatGPT
Full-context prompts.
Spoken at 200 wpm.
ChatGPT's output quality is bounded by input quality. You know this. But typing thorough prompts feels like work — so you abbreviate, and the response suffers. Voice removes the friction of being thorough.
Resonant transcribes on your Mac. Press a key, speak the full context, and clean text lands in ChatGPT's prompt box. No cloud audio. No latency.
Used by professionals at
Typed vs. dictated
Same question.
Dramatically different answer.
Research query
“explain quantum computing basics”
“I have a background in classical software engineering but no physics degree. Explain quantum computing in terms I can map to what I already know — bits versus qubits, gates versus quantum gates, and where the parallelism actually comes from. I keep hearing that quantum computers aren't just faster classical computers, so clarify what kinds of problems they're actually better at and give me two or three concrete examples from industry, not toy problems.”
Brainstorming session
“ideas for improving onboarding”
“Our SaaS onboarding has a 34% completion rate. Most drop-offs happen at the integrations step where we ask users to connect their CRM. The people who do finish onboarding have 3x higher retention at 90 days. I want creative ideas that reduce friction at the integration step specifically — not generic onboarding advice. Consider that our users are non-technical sales managers who are usually setting this up between meetings on their phone.”
Analysis request
“analyze this sales data for trends”
“I'm looking at our Q4 sales data and something doesn't add up. Revenue is up 12% but deal count is down 8%, which means average deal size jumped. I want to understand whether that's because we're actually closing bigger deals or because we lost the small-deal segment entirely. Break it down by customer segment and sales rep. Also flag any deals that closed in the last week of the quarter — I suspect there's a discounting pattern we need to address.”
The insight
ChatGPT rewards
thoroughness.
Typing punishes it.
Every ChatGPT power user knows the same thing: verbose, contextual prompts produce dramatically better responses. The specific constraints. The intended audience. The format you actually want. The thing that didn't work last time.
But typing all of that is slow. So you cut corners. You send “summarize this” instead of explaining what you're summarizing it for, who's going to read it, and what level of detail matters. The response comes back generic, and you spend three follow-ups getting to what one thorough prompt would have produced.
Voice changes the economics. At 200 words per minute, a thorough prompt takes the same time as a lazy one used to. The quality ceiling lifts because the input cost drops to nearly zero.
At 40 wpm, a 100-word prompt takes 2.5 minutes. That's long enough that your brain optimizes for brevity over accuracy. You leave out the background. You skip the constraints. You hope ChatGPT fills in the gaps.
It doesn't. It guesses. And it guesses wrong.
At 200 wpm, the same 100-word prompt takes 30 seconds. You include the background because it costs nothing. You add the constraints because they're already in your head. You describe the format you want because you're just talking.
ChatGPT returns what you actually needed. First try.
Where it fits
Six conversations where
voice changes the output.
Research queries
Ask the way you would ask a colleague who knows everything. Include your background, what you already tried, and why you need the answer. The more context ChatGPT has, the less generic the response.
Brainstorming sessions
Dump everything — the constraints, the failed attempts, the weird half-idea you had in the shower. Typing all of that feels excessive. Saying it takes 20 seconds and produces dramatically better output.
Document analysis
Explain what you pasted, what you need from it, and how you plan to use the result. A prompt that says 'summarize this' gets a summary. A prompt that explains the context gets exactly what you need.
Creative writing prompts
Describe the tone, the audience, the references, the thing you liked about the last draft, the thing you didn't. Voice lets you art-direct in real time without compressing your vision into bullet points.
Technical problem-solving
Narrate the stack trace, the environment, the reproduction steps, the three things you already tried. ChatGPT solves the actual problem instead of the oversimplified version you would have typed.
Follow-up questions
The best ChatGPT conversations are iterative. But typing follow-ups kills momentum. Voice keeps the dialogue moving at the speed of thought — correction, refinement, deeper dives, all spoken in seconds.
Architecture
On-device transcription.
Only text reaches ChatGPT.
Your voice is processed entirely on your Mac using local AI models. No audio is sent to any server — not ours, not anyone's. The transcription happens in real time, on your hardware, and the result is plain text.
The only thing that reaches ChatGPT is the finished text — exactly as if you had typed it character by character. ChatGPT never knows you used voice. Your conversations stay between you and OpenAI, with no third-party audio pipeline in between.
This matters especially for prompts that contain sensitive context: financial data, internal strategy, personal information, client details. With Resonant, that context never touches an audio transcription service.
Free. Local. Works in any text field.
Give ChatGPT the context
it actually needs.
Thorough prompts. Better responses. No subscription, no cloud audio, no typing bottleneck.
Requires macOS 14+ · Apple Silicon