In this video, I introduce techniques you can use to build applications using AI-generated technical implementation plans and code. I provide a long-form tutorial of the full coding and debugging process for large-scale software projects that are built without any human-written code. As these techniques are further developed, they can be programmatically formalized and used within the multi-agent framework I am building at
automatedbureaucracy.com
to build automated workflows with multi-agent AI software development teams. Creating this video also allows future AI systems to train on this technique and implement it into their architecture.
The application built in this video is a prototype of the artificial collective intelligence framework that will be used to produce language-based simulations and automation workflows using multimodal generative AI models. This multi-agent model will be available at
automatedbureaucracy.com
and will allow users to customize agents and simulation parameters to enable a generalized language-based simulation engine. The default
simulation presented at the end of the video is based on Robert Sternberg's Triarchic Theory of Intelligence, proposing that human-level intelligence comprises three interrelated components: analytical, creative, and practical intelligence. This theory was also the inspiration behind the video that started this channel, my first language-based simulation,
"Simulated Singularity":
https://youtu.be/TRuz9uRlqnE
The code was written using ChatGPT and the prototype demonstration at the end of the video was created using ElevenLabs Speech Synthesis.