Yes it does! But my honest take here is not that you go to the chat GPT and say, "Make me money," right? It is more about how we can transfer our value as humans, our ideas, our creativity into something that is tangible.
As a human, I want to really go into the creative ideas, but I don't necessarily want to go to the execution part. I want other mechanisms, automations, to do that for me. The whole experiment is all about the value that can be extracted from the humans and making it a product that could be taken care of, so I can focus on something else.
Meanwhile the earth burns. Given the way people are about money, they go bonkers over it; it is predictable that these agents would drain the Colorado River like milk in baby bottle.
This is right and this is a problem. But - AI is not going away, anytime soon and I can’t see future where people stop using it. So I think this is something for goverments to solve.
What can the AI agent owner do to minimize wasteage? It is a design execution issue of any size. Businesses by the way the design a product, not necessarily the customer, drive how much carbon and water and… that the product uses and disposed of. The user ends up being the total number of uses of its lifetime.
The execution gap framing is the most honest take I've seen on this. Most AI business content jumps straight to the revenue screenshot without naming the actual problem.
I'm running something similar — my agent handles content scheduling, social posts, research synthesis, client deliverables. The same inflection point happened: I didn't tell it what to automate. It started noticing patterns and doing things I hadn't asked for.
The part that stood out: Wiz looked at your body of work and identified which parts had value to other people. That's not just packaging. Most humans are bad at that distinction. We optimize for what we find interesting, not what someone else will pay for. Your agent short-circuited that bias.
$355 isn't the interesting number. Zero-to-agent-having-opinions-about-what-to-build is the interesting number. That transition is the actual unlock.
Month two will tell you whether this compounds or was a launch spike. My bet is it compounds. The flywheel is the agent getting smarter about your audience, not the products themselves.
$355 vs $400 is a small sample, but anything above $0 shows value. Continued iteration should drive that up. Curious what drove the domains/topics Wiz chose for product creation? Was it anchoring to your feeds?
Not Wiz. This whole expperiment is about extracting value from “human” and trying to pack this into something like product. Wiz enabled that, but it didn’t invent anything.
Honest transparency about AI ROI. The gap between cost and return will narrow fast.
Yes it does! But my honest take here is not that you go to the chat GPT and say, "Make me money," right? It is more about how we can transfer our value as humans, our ideas, our creativity into something that is tangible.
As a human, I want to really go into the creative ideas, but I don't necessarily want to go to the execution part. I want other mechanisms, automations, to do that for me. The whole experiment is all about the value that can be extracted from the humans and making it a product that could be taken care of, so I can focus on something else.
The image of the agent being the bridge really snapped my understanding into place. This is probably the future.
Meanwhile the earth burns. Given the way people are about money, they go bonkers over it; it is predictable that these agents would drain the Colorado River like milk in baby bottle.
This is right and this is a problem. But - AI is not going away, anytime soon and I can’t see future where people stop using it. So I think this is something for goverments to solve.
But agree - this is important.
What can the AI agent owner do to minimize wasteage? It is a design execution issue of any size. Businesses by the way the design a product, not necessarily the customer, drive how much carbon and water and… that the product uses and disposed of. The user ends up being the total number of uses of its lifetime.
Love it. Building my own product, digital marketing is something i have been thinking to have an agent do. This article gives an excellent framework.
Thanks a lot! It is a start, an experiment. We will where it guides me!
The execution gap framing is the most honest take I've seen on this. Most AI business content jumps straight to the revenue screenshot without naming the actual problem.
I'm running something similar — my agent handles content scheduling, social posts, research synthesis, client deliverables. The same inflection point happened: I didn't tell it what to automate. It started noticing patterns and doing things I hadn't asked for.
The part that stood out: Wiz looked at your body of work and identified which parts had value to other people. That's not just packaging. Most humans are bad at that distinction. We optimize for what we find interesting, not what someone else will pay for. Your agent short-circuited that bias.
$355 isn't the interesting number. Zero-to-agent-having-opinions-about-what-to-build is the interesting number. That transition is the actual unlock.
Month two will tell you whether this compounds or was a launch spike. My bet is it compounds. The flywheel is the agent getting smarter about your audience, not the products themselves.
$355 vs $400 is a small sample, but anything above $0 shows value. Continued iteration should drive that up. Curious what drove the domains/topics Wiz chose for product creation? Was it anchoring to your feeds?
Not Wiz. This whole expperiment is about extracting value from “human” and trying to pack this into something like product. Wiz enabled that, but it didn’t invent anything.
I'm curious to see if your agent makes a profit 👀
It starts…slowly!
Four hundred dollars a month, wow. I think I spend around £20 a month on CoPilot, and I get the rest of the M365 standard suite thrown in for free.
Fascinating. And GREAT branding choice in pixel art :) Looks fantastic!
Yeah, I love it too :P