Spreadsheets are in many ways a force-multiplier of all other work that one does. For that reason I am very happy to have invested significant time into becoming good at utilizing spreadsheets in the work I do.
Over the past months, I’ve increasingly started using GPT in my workflow and am starting to see it as a tool that similarly to spreadsheets can make one better across a vide variety of tasks.
It wasn’t immediately useful however! It was only with continuous practice that it started generating actual value.
It took me a while to get good at noticing when some task I was doing could be sped up by involving GPT, but especially for brainstorming or listing things it does in seconds what would take me hours. I highly recommend investing time it takes to get it into your workflow. It takes time to build an intuition of what it can and cannot do well.
For example, my org spent some hours creating a list of organizations that currently attempt to influence aid spending in our target country. I asked GPT what organizations we had missed and in seconds was able to add an additional 15 organizations onto the list we had overlooked.
The amount of tasks we can outsource to AI will only increase going forward, and I think those who invest time into getting good at utilizing the new wave of AI tools will be able to multiply productivity significantly and will be at an advantage over those who don’t.
Spreadsheets are in many ways a force-multiplier of all other work that one does. For that reason I am very happy to have invested significant time into becoming good at utilizing spreadsheets in the work I do.
Over the past months, I’ve increasingly started using GPT in my workflow and am starting to see it as a tool that similarly to spreadsheets can make one better across a vide variety of tasks.
It wasn’t immediately useful however! It was only with continuous practice that it started generating actual value.
It took me a while to get good at noticing when some task I was doing could be sped up by involving GPT, but especially for brainstorming or listing things it does in seconds what would take me hours. I highly recommend investing time it takes to get it into your workflow. It takes time to build an intuition of what it can and cannot do well.
For example, my org spent some hours creating a list of organizations that currently attempt to influence aid spending in our target country. I asked GPT what organizations we had missed and in seconds was able to add an additional 15 organizations onto the list we had overlooked.
The amount of tasks we can outsource to AI will only increase going forward, and I think those who invest time into getting good at utilizing the new wave of AI tools will be able to multiply productivity significantly and will be at an advantage over those who don’t.
Can you share any other examples of what you’ve asked? Feeling somewhat uncreative on how to apply LLMs to day-to-day work!
Sure, unfortunately GPT-4 doesn’t seem to save the chat histories properly, but the most recent three by memory (topics obfuscated):
Failure: GPT replies bloated text that makes the argument, but is too weasle-worded. Would be more work to rewrite than just do from scratch.
Success: GPT replied with all names in the right format easy to copy paste into google sheets.
Success: GPT replied with reasonable looking top ten list including a description of their political orientation
One I often find myself asking and getting great answers to is:
I also often use gpt to get brainstorms started.