Getting Stuff Done
Once I had the basics going, I then moved into leveraging AI to augment or complete certain tasks. Here are a few examples:
- Job search and applications: I use AI heavily in looking for my next role, as well as in the application process. I have a few Gems setups that enable me to do this quickly and with high quality.
- Document generation: in several scenarios, I've needed to create documents. I simply leveraged similar documents as a baseline, coupled with the right context and prompt, to get high quality first drafts.
- Repeated analysis: I have setup Gems for analysis work that need to be repeated on a regular basis e.g. monthly or QTR.
Analysis For Insights
Using AI for structured and unstructured data analysis has been a game-changer, especially in operation roles, where disparate data sources make insights difficult to generate. Some example analysis I have done:
- Partner lifecycle analysis: generated several insights on the lifecycle of a new partner to inform what and when to communicate with them.
- Feedback analysis: analyzed unstructured feedback from several sources which developed several insights that drove program changes.
- Content consumption analysis: developed content consumption framework and analysis which had major impact on future content development efforts.