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Prompt management

Visually edit, A/B test, and deploy prompts. Compare usage and latency. Avoid waiting for eng redeploys.

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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.

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Evaluation

Evaluate prompts against usage history. Compare models. Schedule regression tests. Build one-off batch runs.

Prompt engineer with the whole team. Manage prompts visually in the Prompt Registry.

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Gorgias Scaled Customer Support Automation 20x with LLMs

Gorgias is using PromptLayer to build an autonomous prompt engineering team, enabling them to scale their AI-powered helpdesk to millions of shoppers. They use PromptLayer every single day to store and version control prompts, run evaluations on regression and backtest datasets, and review logs to identify issues.

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How Speak Empowers Non-Technical Teams with Prompt Engineering

PromptLayer empowers non-technical teams to iterate on AI features independently, saving engineering time and costs. See how Speak compressed months of curriculum development into a single week and launched in 10 new markets with PromptLayer.

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ParentLab Builds Highly Personalized AI Interactions with PromptLayer

PromptLayer enabled ParentLab to craft personalized AI interactions 10x faster, with 700 prompt revisions in 6 months, saving 400+ engineering hours. Prompts are deployed and updated solely by teams of non-technical domain experts.

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How Ellipsis uses PromptLayer to Debug LLM Agents

PromptLayer empowered Ellipsis to scale from 0 to 500K+ requests within 6 months while reducing debugging time by 75%. Engineers can now identify and resolve complex LLM agent issues in just 3 clicks, avoiding hundreds of hours building an in-house solution.

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Prompt with experts

Building good AI is about understanding your users. That's why subject matter experts are the best prompt engineers.

Why use a prompt CMS?
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No-code prompt editor

Update and test prompts directly from the dashboard.

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Include non-technical stakeholders

Enable product, marketing, and content teams to edit prompts directly.

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Avoid engineer bottlenecks

Decouple eng releases from prompt deploys.

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Version prompts

Edit and deploy prompt versions visually using our dashboard. No coding required.

Get started for free
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Organize versions

Comment, write notes, diff versions, and roll back changes.

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Deploy new prompts

Publish new prompts interactively for prod and dev.

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Clean up your repo

Prompts shouldn't be scattered through your codebase.

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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.

Learn more
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Historical backtests

See how new prompt versions fair against historical data.

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Regression tests

Trigger evals to run every time a prompt is updated.

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Compare models

Test prompts against different models and parameters.

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One-off bulk jobs

Run prompt pipelines against a batch of test inputs.

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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.

See how it works
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Cost, latency stats

View high level stats about your LLM usage.

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Latency trends

Understand latency trends over time, by feature, and by model.

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Jump to bug report

Quickly find execution logs for a given user.

What users are saying

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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.

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Seung Jae Cha

Product Lead at Speak
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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.

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John Gilmore

VP of Operations at ParentLab
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We iterate on prompts 10s of times every single day. It would be impossible to do this in a SAFE way without PromptLayer.

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Victor Duprez

Director of Engineering at Gorgias
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PromptLayer is an example of a company that is solving a different lens of the problem, managing all your different prompts as they come in. The thing that I'm most excited about today is evals… I think it's a fundamental challenge for people using LLMs. When a new model comes out whether it's from OpenAI or some other provider, I don't know as the end user of that model how it's going to impact my use case. And, really, the only way to do that is to have a bunch of robust evals that you go and build…

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Logan Kilpatrick

Gemini and OpenAI
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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
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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.

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Aman Kishore

Founder at MirageML (aqd Harvey)
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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.

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Nick Bradford

Founder & CTO at Ellipsis
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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.

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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.

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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.

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The first platform built for prompt engineering