Guys, I just wanted to share my recent post that is scratching the surface for the issues in deploying the AI Agents to production environment both technical and client facing. https://behavio.one/blog/common-pitfalls-in-deploying-ai-agents-to-production/ I was doing my best to keep it very short though informative :) As the production deployment topic has surfaced during our last three calls already, I am so thrilled to share with you during our next call nice open source solutions for AI deployments I have put together - both for frontend and backend, with auto Dockerisation! I can also present the working demo of an AI app for B2B I am building, using the mentioned deployment framework. I have attached the screen from the development sandbox. Please do not be shy to share with me your feedback/thoughts.

Hello guys hope you doing very well, i have a question, what are the limits of no code plateforms such as flowise, langflow, n8n...? I mean when i should say that programming my own project is a better option than using a low code plateform??

Hi All, I am sharing update of the framework I have briefly presented yesterday. I am at the moment integrating Stripe to the framework. Do you have any suggestions or some reusable points/credits module in Next14/Convex that allows the users to charge the credits via Stripe and use it for the platform AI features? I wish you productive rest of the week!

Hello felas! Hope you doing well, i have some experience in building ai agents but i want to know what is the best way to deploy them as a saas using python? Thanks a lot in advance and it's a great opportunity filled with excitement to have such a like minded people 💯👏❤️

Hi there, I'm trying to utilise multiple llm's to assign different tasks. Would be great if I could get some guidance on how to accomplish this.