AI tool comparison
PromptPaste vs Stet
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Productivity
PromptPaste
Your private AI prompt library — one hotkey away on Mac, iPhone, iPad
75%
Panel ship
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Community
Free
Entry
PromptPaste is a native Apple app that lets you save, organize, and instantly paste AI prompts from a Mac menu bar overlay or iOS share sheet. Hit ⌘⇧P anywhere on Mac and your entire prompt library is accessible without switching apps or hunting through notes. The app supports dynamic templates using {{variable}} placeholders so prompts can be customized at paste-time, folder-based organization, iCloud sync across all Apple devices, and link-based sharing of prompt collections. Crucially, everything is stored locally — no account required, no cloud sync of your actual prompts outside of iCloud. Built by indie developer Ivan Terehin, PromptPaste fills a genuine gap: most people accumulate dozens of AI prompts scattered across notes, docs, and chat history. Works with every major AI platform — ChatGPT, Claude, Gemini, Grok, Midjourney, GitHub Copilot, and more.
Productivity
Stet
Local macOS dictation that sounds like you — not like generic AI prose
75%
Panel ship
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Community
Free
Entry
Stet is an open-source macOS dictation app that transcribes speech locally and then uses AI to clean up the output while actively preserving your personal writing style and tone. The core innovation is a voice model — a lightweight profile that learns from your past writing so the AI corrections don't flatten your voice into generic AI-ese. The result is meant to sound like you dictated it, not like it was passed through a generic LLM. The technical approach combines local Whisper-based transcription (nothing leaves your device during speech-to-text) with an optional AI refinement pass that can use your own API key (BYOK) or a $6.99/month subscription. The open-source release includes the voice profiling code, making it auditable and forkable. It's a direct response to Wispr Flow, which is closed-source and subscription-only. For writers, podcasters, and productivity users who dictate significant amounts of content, the voice preservation angle is genuinely differentiated. The proliferation of AI writing tools has created a recognizable 'AI voice' — flat, over-structured, and devoid of personality — that sophisticated readers are increasingly adept at detecting. Stet's bet is that preserving your actual voice is the most valuable thing an AI writing assistant can do.
Reviewer scorecard
“The ⌘⇧P hotkey that drops your prompt library anywhere is the feature I didn't know I needed. I have system prompts, code review templates, and git commit formats that I paste constantly — having them one keystroke away instead of buried in Notion is a real productivity win.”
“Open-source, local-first transcription with BYOK is the right architecture. I've been burned by voice tools that upload my audio to servers I can't audit. The voice profile approach for preserving style is technically interesting — I want to see how it handles domain-specific jargon and code-switching between formal and casual registers.”
“This is a well-executed clipboard manager with an AI marketing angle, not really AI itself. Raycast and Alfred already do this with snippet libraries, and most power users are already in those ecosystems. The Apple-only constraint also limits its audience significantly.”
“The 'sounds like you' promise needs a lot of data to actually deliver — your voice profile is only as good as the writing samples it's trained on, and most people don't have a consistent, large corpus of their own writing. For casual dictators, this might just be Whisper with extra steps. Apple's built-in dictation is free and surprisingly good now.”
“Personal prompt libraries are the new dotfiles — the accumulated knowledge of how to get AI tools to work for your specific workflows. Apps like PromptPaste are the beginning of a whole category of 'AI configuration layer' tools that will become essential infrastructure.”
“Voice-first computing is coming back, and the arms race for authentic AI writing assistance is heating up. The distinguishing factor won't be transcription accuracy — everyone has solved that — it will be voice fidelity. Stet is building in the right direction: local processing plus personal style models. Expect this architecture to be standard in two years.”
“For creators who use AI daily across writing, image generation, and video tools, having a single organized library across Mac and iPhone with variable templating is exactly the kind of workflow glue that saves an hour a week.”
“This is genuinely exciting for writers and content creators. The homogenization of AI-assisted writing is a real aesthetic problem — everything starts sounding like the same LinkedIn post. A tool that actively fights that tendency by learning your specific voice is solving the right problem. Even if the voice model needs work, the direction is exactly right.”
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