Launching Prompt Engineering Studio

Early in Portkey's journey, our CEO Rohit shared an insight that's guided our philosophy ever since: "There are two kinds of developer tool companies—ones that help you 'develop' something, and others that help you 'productionize' it. Portkey firmly belongs in the second bracket."

This foundational perspective didn't just influence our product strategy—it defined it.

Prompt engineering is having its moment, but as many businesses have discovered, there's a wide gap between crafting a great prompt in a notebook and reliably deploying it at massive scale. Experimentation tools are abundant, but productionizing those experiments? That's a whole different ballgame.

Bridging the Production Gap

Most prompt engineering platforms today focus solely on the creative phase—rapid experimentation, fine-tuning, and iterating. But when it comes to actually deploying prompts reliably at scale, businesses often hit a wall.

How do you:

• Scale from one prompt to thousands?
• Maintain performance when going from occasional tests to millions of daily requests?
• Collaborate across hundreds of team members?
• Manage multiple deployments that need to be "always on"?
• Do all this while maintaining rapid iteration speed?

Built for Production from Day One

These were the questions we set out to answer with Portkey's Prompt Engineering Studio. Not just another place to tweak prompts, but a complete toolkit for developing, testing, and deploying production-ready prompts across 1600+ AI models. Every part of our platform is designed for "production readiness"—from the underlying architecture to the smallest UI detail. This meant reconsidering fundamental questions:

• How can we ensure reliability and fast iteration simultaneously?
• Where do you introduce necessary friction in the product to prevent production issues?
• How do you name components in ways that intuitively map to production concepts?
• What are the edge cases around permissions when dozens or hundreds of collaborators are involved?
• What concepts from traditional software engineering should we mirror in AI engineering?

The answers to these questions have shaped a product that seasoned engineers and companies "just get." That moment when they see it and say, "Yes, this is what we've been looking for" — that's the Aha! moment we aim for.

A Different Kind of Prompt Studio

Portkey's Prompt Engineering Studio uniquely combines powerful experimentation capabilities with robust production features:

Experiment at Scale: Quickly test and compare prompts across more than 1,600 AI models.

Collaborate Efficiently: Version control, permission management, and seamless collaboration among hundreds of contributors.

Deploy with Confidence: Portkey's Gateway integration ensures low-latency, high-RPS deployments that support millions of daily requests, multiple always-hot deployments, and instant rollback capabilities.

Real Teams, Real Scale

The adoption we've seen speaks volumes about the need for production-grade prompt engineering tools:

• A Swedish company now manages over 500 prompts on Portkey, dynamically controlling content across 700+ popular websites.
• A UK-based education firm has onboarded hundreds of teachers to easily create customized quizzes and assignments.
• A tech firm in Chennai dramatically cut deployment times—from three days to nearly instantaneous—by switching to Portkey.

These aren't just users experimenting with AI — they're businesses building their operations around it, requiring enterprise-grade reliability and scale.

Beyond Experimentation: The Full Production Lifecycle

While others build prompt studios to help you develop prompts, Portkey is designed to take them through their entire lifecycle:

1. Build multi-modal prompt templates - Design templates that work with text, images, and advanced AI capabilities
2. Run them on any LLM - Test your prompts across 1600+ models to find the perfect fit
3. Compare prompts side-by-side - See how different approaches perform in real-time
4. Version history with easy rollbacks - Maintain control of changes with production-grade version management
5. Shared template libraries - Build organizational knowledge with reusable components
6. Reusable snippets with mustache templating - Create consistent, parameterized prompt segments
7. Publish & release flow with deployment tags - Move from development to staging to production seamlessly
8. Native integrations with Langchain, Llamaindex, Promptfoo, and more
9. Render API - Connect your prompts to your applications
10. Real-time analytics & usage tracking - Monitor performance and optimize accordingly

Beyond these core capabilities, we've built features specifically designed for production environments:

• A/B Test Different Prompts - Find and settle on the best prompt with real-world user feedback
• Configure Model-Optimized Fallbacks - Avoid output drift when switching between models
• Implement Feature Flags - Gradually roll out new capabilities to users
• Continuous Improvement - Capture qualitative and quantitative feedback to improve over time

What We've Learned

The feedback from our customers underscores one clear truth: Prompt engineering isn't just about finding the perfect prompt—it's about deploying it confidently at scale, and iterating rapidly based on real-world insights.

At Portkey, we listened to developers and businesses. We built exactly what they needed, and now, we've taken it live.

This is just the beginning. As AI becomes increasingly central to business operations, the need for production-grade tooling will only grow. We're excited to be building the infrastructure that makes this possible!

Support us on Product Hunt!

Our Prompt Engineering Studio just launched on Product Hunt, and we'd genuinely love to hear your thoughts.

Check it out, give it a spin, and please share your review—it means the world to us.