Build Your CrewAI MVP - Frontend, Backend & Deployment Simplified



AI Nuggets

Instructions for Creating a Minimum Viable Product (MVP) with Crew AI

Front End

  • Definition: The user interface of the application; what users see and interact with.
  • Example: Scrolling through TikTok or messaging on Facebook.
  • Current State: Using VS Code or Google Colab as a makeshift front end to interact with the Crew AI project.

Back End

  • Definition: The logic and programming behind the scenes; how data is handled.
  • Example: Sending a message on Facebook or liking a post on TikTok.
  • Current State: Logic is written using the Crew AI framework and possibly using ChatGPT or another API for language model interactions.

Deployment

  • Definition: Hosting of the app; where the app is deployed.
  • Example: A web server hosting a website.
  • Current State: Local deployment on a laptop via VS Code or hosted through Google services like Google Colab.

Upcoming Series

  • Front End: Will use the Streamlit library to create a clean and elegant front end in Python.
  • Deployment: Options include Streamlit Cloud or Render; the choice will depend on simplicity, cost, and ease of use.

Final Product

  • The MVP will have a professional-looking front end, not just locally hosted or in a Google Colab notebook, but deployed online.
  • The goal is to have a working application that can be showcased for potential funding or personal use.

Community Input

  • Viewers are encouraged to suggest what kind of Crew AI project should be built for this prototype, considering front end, back end, and deployment.

Video Series Promise

  • The series will guide viewers through creating an accessible and professional-looking application using Crew AI, Streamlit, and a deployment service.

Call to Action

  • Viewers are asked to comment with suggestions for the Crew AI project prototype.

Video Information

(Note: The above outline is based solely on the provided transcript and does not include additional information that may be present in the video itself or its description.)