Matthieu Mombert

Matthieu Mombert

Community manager @ Draft'n Run
Draft'n Run

What's great

Draft’n Run makes building and deploying AI workflows simple and fast. Clear drag-and-drop interface and reliable execution in production. Multi-model support, observability, cost control, and easy iteration turn complex automation into a repeatable process. The QA tab is a game changer.

What needs improvement

More native integrations for popular SaaS tools and a broader library of ready-to-use templates by use case would increase speed to value. Would also love to see a community marketplace for blocks and agents.

vs Alternatives

Full transparency, open-source, observability and QA.

What observability and tracing details are available in production?

Great observability with every traces. You can check what happened with your flow or agent

How straightforward is deploying from prototype to production?

Really easy deploy and great API integration

Which LLMs, tools, and vector stores are natively integrated?

Many LLM options (OpenAI, Gemini and more). Tools number seems to increase every day !

Ratings
Ease of use
Reliability
Value for money
Customization
4 views