For Claude, ChatGPT, and AI-native workers
We handle the rest.
The output quality from any AI tool scales directly with the context you provide. Typing a thorough brief is friction. Speaking one isn't. Resonant gets your full thinking into the prompt box in the time it would take to type a sentence.
The real friction
It starts with: “I'll just type a quick prompt.”
Quick prompts produce generic outputs. You know this. You've had the experience of spending thirty seconds getting a mediocre response and then spending ten minutes writing a thorough prompt that gets exactly what you needed. The thoroughness was always available. Typing was the friction that made it not worth it.
Speaking a prompt takes the same amount of time regardless of how much context you provide. The long version — the one with background, constraints, examples, tone guidance, the actual goal — takes ninety seconds to speak and would have taken eight minutes to type. You stop abbreviating.
Resonant cleans the spoken prompt into clean written text before it hits the input box. The model gets structured prose, not transcription artifacts. You get better output from the same thinking you always had.
What actually happens
Claude prompt, spoken instead of typed
“ok I need you to help me write a performance review for someone on my team, her name is Alex, she's been here two years, she's very strong technically but she has a pattern of going dark when she's stuck instead of asking for help, and I want to acknowledge the technical strengths clearly but also be direct about the communication pattern without it feeling like a punishment, she's someone I want to retain”
Write a performance review for a two-year team member. Strengths: technically very strong. Development area: tends to go quiet when stuck rather than seeking help — a communication pattern worth addressing directly. Tone should be honest and direct but clearly retentive. This is someone we want to keep.
Everything runs on your Mac. Your voice never touches a server — only the finished text leaves your device.
Where it fits
Give the model the full context — background, constraints, examples, tone, goal — the way you'd brief a colleague. The output quality difference is significant.
When the first response isn't right, speak the correction. 'Keep the structure but make the tone warmer and cut the third paragraph' is five seconds spoken, two minutes typed.
The AI draft that sounds like you is the one where you gave it enough context to know how you sound. Dictate the brief. Get back something you'd actually send.
Complex research requests need complex framing. Speak the full context instead of compressing it into a typed query. Better framing, better results.
How it works
One hotkey activates Resonant anywhere on your Mac. No app switching. No setup. No mode.
Your voice never leaves your machine. Everything is processed locally — fast, private, no cloud dependency.
Filler words removed. Sentences completed. The thought, structured and ready to send.
Privacy
The prompts you send to AI tools reveal a lot: what you're working on, what decisions you're facing, what you don't know yet. Adding a cloud dictation layer between your mouth and the prompt box creates another record of that thinking.
Resonant processes your audio locally before it goes anywhere. Your voice never touches a server. The text you chose to send is the only thing that leaves your Mac.