MedPromptHub
Physician-designed AI prompts for LLM clinical workflows
What it does
Large Language Models can save clinicians hours- but only if they’re prompted correctly. MedPromptHub is a curated directory of physician-designed AI prompt “recipes” built for real clinical workflows and HIPAA-aware LLM environments. Browse reusable project instructions created by practicing clinicians across specialties to streamline documentation, improve clinical reasoning, and reduce repetitive work — without starting from a blank prompt every time.
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ClinicFrame Jul 2026 · clinicframe.com · ▲191Like Granola, but for healthcare. Fully HIPAA-compliant.
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I have some chronic medical conditions, and spend a lot of time asking about different drugs and supplements. Wanted to create a resource that others might get value from. It's trained to always provide citations, and to urge people to see their doctor before making major decisions. Open for feedback.
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We are excited to show Promptly (https://trypromptly.com), a prompt management platform for LLM apps that makes it easy to experiment, share and manage prompts in production. With Promptly, users can: - Try out different prompts and model parameters for various providers - Quickly share prompt snippets together with parameters and generated output. Think of it as CodePen or JSFiddle for prompts - Create high level endpoints on top of provider APIs (Open AI, DreamStudio etc) with templated and versioned prompts - Use built-in caching for endpoints that will help save on Open AI…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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