Hegel AI Prompt Playground

What it does

It's a playground for teams to experiment with LLMs and prompts, track a history of what they've tried, and add evaluations. It helps developers iterate towards a working prompt and model combination for their use case more efficiently, and ships with an SDK.

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  LLM Prompt & Model Playground2024 · ▲89

  Test LLM prompts & models side-by-side against many inputs

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  AI Playground by Vercel Labs2023 · play.vercel.ai · ▲249

  Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…

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  PromptTools – open-source tools for evaluating LLMs and vector DBs2023 · github.com · ▲211

  Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…

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  Prompt Llama2024 · prompt-llama.com · ▲134

  test the performance of different models with the prompts

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  PROMPTMETHEUS2023 · promptmetheus.com · ▲87

  One-shot Prompt Engineering Toolkit

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  Open Source AI Playground for Prompt Engineers2025 · playground.getsupernova.ai · ▲5

  Hi HN, We're a small team building AI tutors out of India, and as you might guess, this means we spend a ton of time writing, testing, and refining prompts for LLMs. When we started out, we were using the OpenAI playground but things became tedious when we wanted to compare responses from different models. We tried a bunch of other playgrounds but found them lacking in some features so we built our own. Quick Links: Github: https://github.com/supernova-app/ai-playground Hosted demo: http://playground.getsupernova.ai Demo video:…

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