A platform for prompt creation, management, and distribution
A Better Way To Build:
Whether you're an AI enthusiast, a budding business owner, or a datascientist that just wants to research, our platform is tailored just for you. We're driven by a singular vision - to make large language models accessible to anyone by removing all overhead requirements to build, test, and deploy AI products.
Zero Coding Skills? If you've seen HTML, you'll be just fine.
🚀 Share your app: Push a button and you'll have a shareable website distributing your AI solution.
⚙️ 100% Control: Developers have access to a ton of configurations through APIs... now you do too! Without needing to deploy a server or website.
🌎 Community: Share your tools & learn from others' creations! Create an organization and work with a team to build anything.
Engineer? We've got you covered.
📄 Text in, Text out: PML has 0 opinions; everything is 100% customizable in your prompts.
🛠️ Every prompt is an API: Every .pml file is converted to an API endpoint that ingests the parameters you specify in the .pml file.
📜 Version Control: You can create tagged versions for deployments & have access to execute/test/promote any previous prompt you've executed.
👥 Collaboration: Create an organization to work together, assign read & edit access to your files.
📊 A/B Testing: Input by hand or run CSVs of thousands of requests; all prompts can use optional parameters in their compiled API routes.
Business Leader? You're in the right place.
⏱️ Time Saved: From experience, we've seen hundreds of hours spent on production-grade prompt tooling... now it's just an API call away.
📈 API & GUI Analytics: Most prompt analytics systems require code. We want less code. How much time would your dev team spend on building & maintaining this?
🔧 Efficiency: Remove huge portions of code and replace with an API call, all of our repositories now function the same when it comes to LLM use.
🔄 Standardized Approach: Lose no time to onboarding a AI feature into an application, allowing your team to work on the feature instead of the chores of architecture.
📚 Future Proof: Enterprise: You can save all PML assets to a repository & run our interupeter locally on your own deployment.