Pivot.City Cognitive Computing

eSAM @Pivot.City is a licensed workspace. eSAM is aimed at the development toward Large Action Models. In its current form eSAM (Entrepreneur Small Action Model) leverages a pretrained model (LLM) to promote cognitive computing for entrepreneur support by executing small task related to entrepreneur support and strategy.

This is a relatively new approach to leveraging artificial intelligence and cognitive computing in entrepreneur support. This is a model trained on Pivot.City and Entrepreneur Connectome; yet focused on executing small actions/tasks beyond generated human text-based interactions. 

We continue to experiment with:

1. Canvas Starts
2. Gap Strategies
3. Summary Generation                                                                    

Based on a proprietary modeling language, we decomposed some of the entrepreneur support recursive tasks and recomposed them as trees-of-thought for computing. The Pivolution Case Study is an iterative case study approach to strategy development. It leverages cognitve computing and multiple entrepreneur canvas frameworks to create amalgamted inputs toward the completion of a canvas output. The emphasis is on spatial learning strategy.