Draft'n run empowers teams to design, deploy, and monitor AI-powered features faster than ever. Transform complex AI integration into an intuitive, visual process with full transparency, control, and scalability.
Combining the power of n8n and the agility of langfuse, this is the go-to-platform to build AI solutions for both internal use and to use in a product with production grade quality. Tell us what you think !
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Congrats on the lunch! Having a studio for custom AI workflows is quite practical today. Making LLM API calls isn’t the hard part; it’s the whole surrounding layer of monitoring (token usage), security, and management that this kind of tool seems to handle out of the box.
Quick question for the creators: in the API integration, will there be options for advanced authentication (e.g., Bearer tokens, etc.)?
Hey everyone ! Happy to do this first launch on Product Hunt ! This is exciting ! We hope you enjoy that product that will allow you to build AI use cases in minutes frictionlessly.
Our belief : working with AI is not about what you can make AI do but what you can make sure AI doesn't do !
If you share this belief and want a tool to help you in everyday life, come and try it right away, and please leave us some feedback ! <3
Congrats on the launch! Draft'n Run looks like a sweet no-code studio for designing, shipping, and monitoring AI features. Love the n8n + Langfuse combo for transparency and control. How do you handle versioning and rollback for production-ready flows?
Currently, you can create as many versions as you want, and 2 environments : draft and production. You can test all versions against test datasets and deploy when you're ready.
In the near future, we want to have as many environments as you want (for A/B testing for instance), tracking of performance by environment, easy deployment per environment and hence easy roll back as well.
We are moving very fast on this and I hope all your needs are met very soon if not already !
At least we'll work hard towards that goal !
Report
Looks great! In the QA, can you define and track specific metrics? How does that work?
@oliviermoindrot You will in a few weeks, we are specifically working on this right now :)
Report
Not tested yet, but it caught my eye: a visual studio for custom AI that emphasizes transparency, control, and scalability (built around an n8n + Langfuse mindset), congrats for the launch !
Draft'n Run
Congrats on the lunch! Having a studio for custom AI workflows is quite practical today. Making LLM API calls isn’t the hard part; it’s the whole surrounding layer of monitoring (token usage), security, and management that this kind of tool seems to handle out of the box.
Quick question for the creators: in the API integration, will there be options for advanced authentication (e.g., Bearer tokens, etc.)?
Draft'n Run
@loic_veyssiere Thank you Loïc ! Yes, the API integration is secured with bearer tokens already. I hope this will help !
Draft'n Run
Hey everyone ! Happy to do this first launch on Product Hunt ! This is exciting !
We hope you enjoy that product that will allow you to build AI use cases in minutes frictionlessly.
Our belief : working with AI is not about what you can make AI do but what you can make sure AI doesn't do !
If you share this belief and want a tool to help you in everyday life, come and try it right away, and please leave us some feedback ! <3
PROCESIO
looks great
Draft'n Run
@madalina_barbu Thank you for your support ! If you have any feedback to give us we'd love to hear from you. The best features are coming soon !
Makers Page
Congrats on the launch! Draft'n Run looks like a sweet no-code studio for designing, shipping, and monitoring AI features. Love the n8n + Langfuse combo for transparency and control. How do you handle versioning and rollback for production-ready flows?
Draft'n Run
Thank you@alexcloudstar for your support !
Currently, you can create as many versions as you want, and 2 environments : draft and production. You can test all versions against test datasets and deploy when you're ready.
In the near future, we want to have as many environments as you want (for A/B testing for instance), tracking of performance by environment, easy deployment per environment and hence easy roll back as well.
We are moving very fast on this and I hope all your needs are met very soon if not already !
At least we'll work hard towards that goal !
Looks great! In the QA, can you define and track specific metrics? How does that work?
Draft'n Run
@oliviermoindrot You will in a few weeks, we are specifically working on this right now :)
Not tested yet, but it caught my eye: a visual studio for custom AI that emphasizes transparency, control, and scalability (built around an n8n + Langfuse mindset), congrats for the launch !