{"id":68762,"title":"GradientJ - Build and manage GPT3 🤖 applications at scale","tagline":"GradientJ helps product teams deploy large language models at scale. Companies use us to create GPT3 applications and monitor them in production.","body":"### **What is it?**\n\nGradientJ is a web application to build, compare, and deploy prompts for large language models like GPT3.\n\n### **Is this for me?**\n\nGradientJ is for:\n\n* Product teams that are just **thinking of using something like GPT3** in their product and are **trying to figure out how to get started**.\n* Teams who are **already using LLMs** to delight their customers and are **trying to level up their workflow** with faster iteration, better organization, easy cost and performance comparisons, and the on-ramp to \\~_the mythical land of fine-tuning\\~_.\n\n### **What’s the Problem?**\n\nCurrently, the **road from exciting prototype output with ChatGPT to production-ready GPT3 deployment is unclear** and littered with potential pitfalls.\n\nEven for the teams that do get version 1 out the door, **the workflow often ends up as a stitched together hodgepodge of makeshift processes and tools.**\n\nLLM deployment is a leading cause of “am I doing this right?”-itis. Symptoms include:\n\n* A text document with examples copy-pasted into the OpenAI playground\n* A prompt comparison process that consists of an eyeball test followed by “looks better-ish”\n* Hours spent tweaking a prompt on one example only to find, in the end, it breaks on all the others\n* Nightmares of users getting nonsensical or offensive output from a hallucinating LLM\n\n### **How do we solve it?**\n\nWe made a prompt engineering interface that:\n\nAutomatically suggests starting points or improvements to your prompts.\n\n![uploaded image](/media/?type=post\u0026id=68762\u0026key=user_uploads/314229/aabfc294-5d59-4f02-a9a0-ff9ea4e2a1b0)\n\nTracks prompt versions and benchmark examples so you can always compare and deploy the best iteration.\n\n![uploaded image](/media/?type=post\u0026id=68762\u0026key=user_uploads/314229/2491d923-0562-4c55-aa1c-fe0837a3b899)\n\nDeploys to your own API endpoint with automatic cost and performance tracking in one click.\n\n![uploaded image](/media/?type=post\u0026id=68762\u0026key=user_uploads/314229/df784795-2290-4ce9-9fbe-90ec41fbb21b)\n\n# **The Ask:**\n\n* **Let us help:** If you’re trying to use LLMs like GPT3 in your application and want to discuss how to **get version 1 out the door** **FAST**, we’d love to talk.\n* **Try it out:** If you’re already using LLMs in your application, we’d love to talk.\n* **Spread the Word:** If anyone you know is using or thinking of using LLMs, we want to turn their ideas into reality.\n\nDrop your email here \u003chttps://forms.gle/23MosusmACYE83bq9\u003e, email us at [founders@gradientj.com](mailto:founders@gradientj.com), or jump right in and book a time to talk [here](https://calendly.com/daniel-gradientj/meeting)!","slug":"Ht4-gradientj-build-and-manage-gpt3-applications-at-scale","created_at":"2023-01-26T20:03:07.818Z","updated_at":"2026-05-23T16:26:30.258Z","total_vote_count":67,"url":"https://www.ycombinator.com/launches/Ht4-gradientj-build-and-manage-gpt3-applications-at-scale","share_image_url":"//bookface-static.ycombinator.com/assets/ycdc/yc-og-image-c440a0ad1dacfb86eeeb343717479cc54d256614449b4ef719977a0a451f8bc8.png","company":{"id":27882,"name":"Velos","slug":"velos","url":"https://www.tryvelos.com","logo":"https://bookface-images.s3.amazonaws.com/small_logos/ea18b8898b03249e01295dac0dccb51928c38c2e.png","batch":"Winter 2023","industry":"B2B","tags":["Artificial Intelligence","Generative AI","Reinforcement Learning","Robotic Process Automation","Automation"],"search_path":"https://bookface.ycombinator.com/company/27882"}}