Prompt Engine – Auto pick LLMs based on your prompts
Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
In plain words
Prompt Engine automatically selects the optimal large language model for each prompt from hundreds of available options, addressing the challenge of manual LLM selection. It provides prompt storage for reusability, caching to improve performance, and maintains consistency when models depreciate or configurations change. Designed for teams running multiple prompts across different LLMs, it eliminates fear of breaking existing workflows while enabling updates and upgrades.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt Engine which automatically runs your prompts for you on the best LLM every single time with all the tools like internet access. You can also store prompts for reusability and caching which increases performance on every run. How it works? tldr, we built a really small model that is trained on datasets comparing 100s of LLMs that can automatically pick a model based on your prompt. Here's an article explaining the details: https://jigsawstack.com/blog/jigsawstack-mixture-of-agents-m...
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