Your workbench for AI engineering
Version, test, and monitor every prompt and agent with robust evals, tracing, and regression sets. Empower domain experts to collaborate in the visual editor.
Trusted by companies like you
Prompt management
Visually edit, A/B test, and deploy prompts. Compare usage and latency. Avoid waiting for eng redeploys.
Collaboration with experts
Open up prompt iteration to non-technical stakeholders. Our LLM observability allows you to read logs, find edge-cases, and improve prompts.
Evaluation
Evaluate prompts against usage history. Compare models. Schedule regression tests. Build one-off batch runs.
Case Studies
Prompt with experts
Prompt with actions
Building good AI is about understanding your users. That's why subject matter experts are the best prompt engineers.
No-code prompt editor
Update and test prompts directly from the dashboard.
Include non-technical stakeholders
Enable product, marketing, and content teams to edit prompts directly.
Avoid engineer bottlenecks
Decouple eng releases from prompt deploys.
Version prompts
Edit and deploy prompt versions visually using our dashboard. No coding required.
Organize versions
Comment, write notes, diff versions, and roll back changes.
Deploy new prompts
Publish new prompts interactively for prod and dev.
Clean up your repo
Prompts shouldn't be scattered through your codebase.
A/B test prompts
Release new prompt versions gradually and compare metrics.
Evaluate iteratively
Rigorously test prompts before deploying, with the help of human and AI graders.
Historical backtests
See how new prompt versions fair against historical data.
Regression tests
Trigger evals to run every time a prompt is updated.
Compare models
Test prompts against different models and parameters.
One-off bulk jobs
Run prompt pipelines against a batch of test inputs.
Monitor usage
Understand how your LLM application is being used, by whom, and how often. No need to jump back and forth to Mixpanel or Datadog.
Cost, latency stats
View high level stats about your LLM usage.
Latency trends
Understand latency trends over time, by feature, and by model.
Jump to bug report
Quickly find execution logs for a given user.
Use cases
Personalized
language tutor apps
Busuu uses LLMs to provide every user on their app personalized language learning feedback for their speaking and conversational skills. The team iterates on feedback prompts that are stored in PromptLayer to tailor the right voice, run batch evaluations to examine feedback usefulness, and compare different models against eachother.
"We use PromptLayer to evaluate changes to our instructions and compare the output across prompt versions and models to make sure our learners receive accurate and useful feedback to help them on their journey."
— Hannah Morris (Head of Learning Design @ Busuu)
Automated AI sales
outbound
We use PromptLayer internally to build PromptLayer. Every time someone new signs up, it kicks off a PromptLayer agent that qualifies the lead, researches the company, and writes a highly-personalized outreach email. We spent hours in the dasbhoard versioning, tweaking, and test running the email writing prompt until it just right.
E-commerce
customer support
Gorgias has built an AI-powered customer helpdesk for Shopify stores. Their team of machine learning engineers and support specialists use PromptLayer to ensure that every user interaction is resolved successfully— refining prompts, replaying edge-cases, running regression evals, and surveying live traffic.
All their prompts, agents, tool calls are stored and iterated on from within PromptLayer.
What users are saying
Using PromptLayer, I completed many months' worth of work in a single week. It empowered me to drastically scale our content creation process, going from curriculum outlines to app-ready content that users could engage with immediately.
Seung Jae Cha
Product Lead at Speak
PromptLayer has been a game-changer for us. It has allowed our content team to rapidly iterate on prompts, find the right tone, and address edge cases, all without burdening our engineers. This has been critical for creating an AI that truly connects with and supports our users.
John Gilmore
VP of Operations at ParentLab
We iterate on prompts 10s of times every single day. It would be impossible to do this in a SAFE way without PromptLayer.
Victor Duprez
Director of Engineering at Gorgias
If I'm at my desk and see that somebody's workflow went bad, it takes only 3 or 4 clicks. I go to PromptLayer, filter by the workflow ID, and I'm in. The information density means my time to being productive is really really good.
Logan Kilpatrick
Gemini and OpenAI
Getting started with LLM APIs is easy. Moving to production and scale is hard. PromptLayer gives me out-of-the-box tooling to iterate, evaluate, monitor, and multisource my LLM-based apps, so I can spend less time building infrastructure. And just like how Wordpress allowed anyone to publish on the web, PromptLayer empowers non-developers and subject matter experts to iterate and improve on prompts without touching the code.
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Greg Baugues
Former Director of Developer Relations at Twilio
PromptLayer has become indispensable to our iteration process. Using the Prompt Registry, our team of mental health experts create tests, evaluate responses, and directly make edits to prompts without any engineering support. Even though our team is mostly non-technical, they use PromptLayer to improve the AI based on their personal clinical experience.
John Smith
AI Researcher at Stealth Mental Health Startup
The team at PromptLayer has built a seriously impressive platform for prompt engineering. Their prompt CMS does a great job of allowing non-technical stakeholders to actually become the prompt engineers. It's the key that brings analytics, observability, and evals together for easy iteration.
Aman Kishore
Founder at MirageML (aqd Harvey)
If I'm at my desk and see that somebody's workflow went bad, it takes only 3 or 4 clicks. I go to PromptLayer, filter by the workflow ID, and I'm in. The information density means my time to being productive is really really good.
Nick Bradford
Founder & CTO at Ellipsis
It takes a lot of work to build a good AI notepad like Granola. Especially because there is no ground-truth to compare against. PromptLayer makes it easy to version and build custom evals for your prompts.
Chris Pedregal
CEO at Granola
Using PromptLayer, I completed many months' worth of work in a single week. It empowered me to drastically scale our content creation process, going from curriculum outlines to app-ready content that users could engage with immediately.
Seung Jae Cha
Product Lead at Speak
PromptLayer has been a game-changer for us. It has allowed our content team to rapidly iterate on prompts, find the right tone, and address edge cases, all without burdening our engineers. This has been critical for creating an AI that truly connects with and supports our users.
John Gilmore
VP of Operations at ParentLab
We iterate on prompts 10s of times every single day. It would be impossible to do this in a SAFE way without PromptLayer.
Victor Duprez
Director of Engineering at Gorgias
If I'm at my desk and see that somebody's workflow went bad, it takes only 3 or 4 clicks. I go to PromptLayer, filter by the workflow ID, and I'm in. The information density means my time to being productive is really really good.
Logan Kilpatrick
Gemini and OpenAI
Getting started with LLM APIs is easy. Moving to production and scale is hard. PromptLayer gives me out-of-the-box tooling to iterate, evaluate, monitor, and multisource my LLM-based apps, so I can spend less time building infrastructure. And just like how Wordpress allowed anyone to publish on the web, PromptLayer empowers non-developers and subject matter experts to iterate and improve on prompts without touching the code.
Greg Baugues
Former Director of Developer Relations at Twilio
PromptLayer has become indispensable to our iteration process. Using the Prompt Registry, our team of mental health experts create tests, evaluate responses, and directly make edits to prompts without any engineering support. Even though our team is mostly non-technical, they use PromptLayer to improve the AI based on their personal clinical experience.
John Smith
AI Researcher at Stealth Mental Health Startup
The team at PromptLayer has built a seriously impressive platform for prompt engineering. Their prompt CMS does a great job of allowing non-technical stakeholders to actually become the prompt engineers. It's the key that brings analytics, observability, and evals together for easy iteration.
Aman Kishore
Founder at MirageML (aqd Harvey)
If I'm at my desk and see that somebody's workflow went bad, it takes only 3 or 4 clicks. I go to PromptLayer, filter by the workflow ID, and I'm in. The information density means my time to being productive is really really good.
Nick Bradford
Founder & CTO at Ellipsis
It takes a lot of work to build a good AI notepad like Granola. Especially because there is no ground-truth to compare against. PromptLayer makes it easy to version and build custom evals for your prompts.
Chris Pedregal
CEO at Granola
Collaborate without engineering
Move your prompts out of code and serve them from our CMS. Enable subject matter experts, like PMs or content writers, to edit and test prompt versions all through the PromptLayer dashboard.
Our thoughts on prompt engineering and context design
Prompt Management And Collaboration Using A CMS
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Our Favorite Prompts From The Tournament
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Prompting Tips For Anthropic Claude
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Building Better AI Systems
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Prompting Tips For Anthropic Claude
Model agnostic
One prompt template for every model.
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Prompt engineering pioneers
We are building a community for the real builders of AI: the prompt engineers. They come in all shapes and all sizes. Lawyers, doctors, educators, and even software engineers.
Get Started
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The First Platform Built For Prompt Engineering
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