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PromptGrid

PromptGrid

#promptgrid

How do you know when the LLM prompt of your app is really improved when you change it? How do you know what LLM actually performs best with this prompt? What I'm building can half-automates the former and fully automates the latter, if you so desire. It provides a structural way of working so insecurity about the LLM component of your app will be history.
updated #promptgrid to new #lovabase version, improved performance of UI
Adding an option to promptgun to complete async Promptgrid chat logs before prompt resolves, which is not an issue in production use but it is in testing and debugging where breakpoints often occur directly after the prompt resolves, resulting in incomplete chat logs #promptgrid
promptgun the npm llm prompting lib auto-updated this morning again, adding the latest openai models #promptgrid
Reduced promptgun size to 334kb. By contrast, openai’s own npm lib is >3MB. And promptgun is much easier to use for both openai text and images, and does advanced streaming json processing tricks too #promptgrid
`npm install promptgun` added this morning: it now updates every hour to automatically include the latest openai models it is already the easiest way to consume LLMs as it handles parsing, streamed parsing, schema-aware data streaming, type safety, and image prompting all in an extremely simple and intuitive manner. checkout the readme at www.npmjs.com/package/promptg… #promptgrid
Refined the ultimate LLM API client library yesterday. Clear step closer to public launch. Follow me for more updates, it’s a masterpiece of code and it will require *so* little code from you to do advanced stuff with LLMs. #promptgrid
Shipped a complete SAAS as part of a CTO job application. Will apply the same deadline-driven vigor to my own SAAS this weekend. #promptgrid #tutoic .
Built websocket to connect #promptgrid's client library to #promptgrid, and dashboard to display data it connects.
finished client library for #promptgrid
finished streaming json implementation for #promptgrid client lib
ported a bit of my streaming json library that i built for java to js. #promptgrid
Making a client library for #promptgrid. How #promptgrid ties into your program code is core, and I didn't realize this at the start. Other prompt evaluation products are often focussed on the non-technical, but I wanna focus on solo-founders, because I am one, and I feel like I need a product like #promptgrid .
users can set prompts in #promptgrid with ts, but if their code doesn't compile it crashes the whole api 😅. Fixing.
Fixed a few minor issues in login/logout mechanics and some of the editors of #promptgrid. Dayjobday & renovations happening at home, so likely won't be able to do more today.
Improved the example content new #promptgrid accounts get upon registering
#promptgrid now populates any new user's account with an example prompt with example test inputs. Will add example evaluators later but have to stop now.
Today: finished those #promptgrid breadcrumbs that I started this morning; finished an update of #tutoic's to Vite and the most recent React which I started earlier this week (honestly, shouldn't have started it... major waste of time at this moment); fixed a bug that caused analytics events for #promptgrid to not arrive in GA; added a simple explanation of how to consume one of the #promptgrid prompts in your own applications. #promptgrid is still an impossibly shit experience for new users but... getting there. Good night fellow builders 🌙
Woke up 4:30. Fixed that analytics events weren't coming through well in Google Analytics for #promptgrid . Started adding breadcrumbs; doing a global breadcrumb bar like Vercel has, I like it because it's spatially efficient.
Made a landing page with a very simple "AI prompt generator", with a single text box to accept user input. This landing page is to capatalize on the search terms where I was getting the best Google Ad traffic, while gathering user input to learn about their problems. It's a bit of a pivot from #promptgrid core idea but I'm experimenting with being more flexible. And maybe I can upsell users to the core idea.
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