The part of prompt engineering everyone ignores just got its own tool.
A macOS app called Fovea shipped in beta this week. Hold a hotkey, speak your intent, select some text, grab a screenshot, release. Fovea OCRs the images, transcribes the voice, and drops a structured prompt directly into your AI tool’s input box.
Here’s the twist: it doesn’t just paste a pile of raw material. It organizes it. Your voice becomes the narrative thread. Selected text becomes reference blocks. Screenshots become annotated context. The output looks more like a proper brief than a copy-paste dump.
The developer’s actual point is worth sitting with. The quality ceiling for any prompt template isn’t the template itself. It’s whether the user follows it under real conditions, mid-task, under time pressure, with a dozen browser tabs open. Lower the assembly cost and average prompt quality goes up across the board. Not just for you. For everyone using your template.
🔧 How to try it:
- Grab the free beta at hellofovea.com (macOS only for now)
- 🖥️ Open whatever AI tool you use (Claude, ChatGPT, anything)
- Hold the Fovea hotkey while you’re mid-task
- Speak your intent, select relevant text, screenshot what matters
- 📋 Release. Structured prompt lands in the input box, ready to go.
Pro tip: This shines hardest during debugging sessions. Instead of alt-tabbing and re-explaining context from scratch, you capture it live while you’re actually looking at the problem. Full structured prompt in seconds instead of three minutes of copy-pasting.
💡 If you design prompts for a team, this is more interesting than it looks. Writing a solid template is one problem. Getting people to use it correctly when they’re rushed is a completely different one. Tooling is the lever that bridges that gap.
Free beta is live. Worth 10 minutes of your time. 🔗
Prompt engineering isn’t just about writing — it’s about how fast you can assemble complete context
by u/HelloFovea in PromptEngineering