PeterKuhn @peterkuhn - Twitter Profile

23 days ago

@sama My wife is doing this on Poshmark / marketplace reselling clothes on maternity leave. The workflow is - take photo of clothes, mock up on mannequin, write listing, print shipping label. She’s up to like $5k in passive sales in 3 months. The output looks so good

1

0

1

814

PeterKuhn retweeted

Aaron Levie

@levie

4 months ago

Jevons paradox is happening in real time. Companies, especially outside of tech, are realizing that they can now afford to take on software projects that they wouldn’t have been able to tackle before because now AI lets them do so. We’re going to start to use software for all new things in the economy because it’s incrementally cheaper to produce. Marketing teams at big companies will have engineers helping to automate workflows. Engineers in life sciences and healthcare will automate research. Small businesses will hire engineers for the first to build better digital experiences. And as long as AI agents still require a human who understands what to prompt, how to review when an agent goes off the rails, how it guide back, how to maintain the system that was built, how to fix the ongoing bugs, and more, we will still have humans managing these agents. This is why all the advice you get of not going into engineering is wrong. The world is going to increasingly be made up of software, and the people that understand it best will be in a strong economic position. This will happen in other roles as well where output goes up and demand increases.

221

5K

657

3K

1M

PeterKuhn retweeted

Aaron Levie

@levie

11 months ago

We’re at a fascinating point where there’s a decent thesis for starting new companies from the ground up purely to take full advantage of the leverage you get from AI agents. So much about your typical practices have to be re-engineered to get the greatest output from agents. If you don’t almost completely start your process from scratch you’ll likely cap out early in the gains you can get. We’re seeing this first in the use of AI coding agents, where the workflow becomes far more about clarity of spec writing and prompting than actually writing code. Now the job is far more about the upfront thinking of what you want to build and getting that right, and then reviewing and orchestrating the outputs. This then presents an opportunity not only for new startups that emerge that will build their products in this new way to outrun larger companies, but equally opens up opportunities for new services firms to emerge to bring this engineering leverage to larger customers. The same will be true in almost all other fields. One could imagine new forms of consulting companies focused on getting more output per project, new law firms that can take on far more clients, brand new marketing agencies that can do campaigns entirely faster, and so on. Eventually bigger companies will figure out how to get these gains as well, but for now there’s a clear window for many new firms to emerge that can operate by default in these new ways.

49

708

62

679

273K