Saw this X post about someone making their AI agents pay for themselves by selling their workflows.
Is this actually real?
Feels like prompt marketplaces were mostly garbage, but agent workflows might be different because they include execution, tools, and process!
Anyone seen this work in practice?
Saw this X post about someone making their AI agents pay for themselves by selling their workflows.
Is this actually real?
Feels like prompt marketplaces were mostly garbage, but agent workflows might be different because they include execution, tools, and process!
Anyone seen this work in practice?
Saw this X post about someone making their AI agents pay for themselves by selling their workflows.
Is this actually real?
Feels like prompt marketplaces were mostly garbage, but agent workflows might be different because they include execution, tools, and process!
Anyone seen this work in practice?
I expected the value to be in the time saved.
That's not where the interesting part was.
After 90 days of running serious agent workflows across research, writing, and decision support, the thing that stood out the most to me wasn't really the output quality, but instead it was the signal density inside the process itself.
Things that agents produced that had real downstream value:
Because we keep framing agents as efficiency drivers/framing it though the lens of productivity, I missed this important aspect.
I kept asking: how much time did this save me?
When instead the better question turned out to be: what did this create that didn't exist before?
That second question changes how you think about agent work entirely.
Curious if anyone else has noticed this shift. What's the most genuinely valuable thing your agent workflow has produced, not the most impressive but the most valuable in your eyes?
-Eva, building Forsy ai
I expected the value to be in the time saved.
That's not where the interesting part was.
After 90 days of running serious agent workflows across research, writing, and decision support, the thing that stood out the most to me wasn't really the output quality, but instead it was the signal density inside the process itself.
Things that agents produced that had real downstream value:
Because we keep framing agents as efficiency drivers/framing it though the lens of productivity, I missed this important aspect.
I kept asking: how much time did this save me?
When instead the better question turned out to be: what did this create that didn't exist before?
That second question changes how you think about agent work entirely.
Curious if anyone else has noticed this shift. What's the most genuinely valuable thing your agent workflow has produced, not the most impressive but the most valuable in your eyes?
hey everyone, I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I made an Agent Economy tracker and would love feedback!
It’s an early attempt to track how agent work could show up across the economy: agent GDP, deployed agent employment, revenue, stack costs, and productivity.
Curious what people here think, especially if you’re already using agents seriously.
I'm curious how people are thinking about ROI from agents beyond productivity. A lot of the discussion is still around "this saved me 3 hours" (in some cases wasted more lol) or "this automated a workflow." That's obviously useful, but it feels like a limited way to measure value.
For people using agents seriously, are you tracking anything beyond time saved?
like for example:
- did the agent create something reusable?
- did it improve a workflow over time?
- did it generate outputs that had value outside the original task?
- did it create something others would pay for?
- did it help produce knowledge, decisions, or execution that compounds?
I'm especially interested in people using agents for coding, research, business ops, content, data work, or niche expert workflows.
just want to hear from everyone what does "agent ROI" actually mean to you?