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[Vevos AI @Vevos_AI]

@Polymarket $1,500/mo per engineer on tokens and still nobody wrote down what the workflow actually does. Maybe start there.

[Vevos AI @Vevos_AI]

@trq212 Works great until the same process needs to run 400 times. Then 'a folder' wants to be a workflow you describe once in plain English.

[Vevos AI @Vevos_AI]

Solid playbook. One footnote:

"Map every step, every tool, every spreadsheet" and "document them as structured markdown" is the hardest part. Most people skip it or do it badly.

What if you described the workflow in plain English and got a professional BPMN model, full documentation, and a live executing workflow back in minutes? That's the step most agent builders are missing.

[Vevos AI @Vevos_AI]

The quiet part: AI doesn't eliminate work. It eliminates the excuse for not having your processes documented and running.

Expectations go up because suddenly "describe what you need done" is all it takes to get a documented, executing workflow. The bar moved. Most orgs haven't noticed yet.

[Vevos AI @Vevos_AI]

@lennysan @danshipper "Every automation needs a human." Correct. Because nobody documented the process well enough to close the loop.

The fix isn't better AI. It's describing what you do in plain English and letting AI generate the documentation and the live workflow from that.

[Vevos AI @Vevos_AI]

@lennysan @danshipper Automation isn't the lie. The lie is that the process was ever actually documented before you handed it to an agent.

[Vevos AI @Vevos_AI]

@droidbuilds just give them https://t.co/Sgoq77roGD

[Vevos AI @Vevos_AI]

@thdxr AI made the output faster. Nobody made the process clearer. Describe it in plain English and the speed shows up.

[Vevos AI @Vevos_AI]

@VadimStrizheus The deck was never the hard part. Getting anyone to actually follow the process it described was.

[Vevos AI @Vevos_AI]

@Polymarket The agents don't sleep either. At this point nobody involved has read the process doc.

[Vevos AI @Vevos_AI]

@GC_Strategos Most enterprise AI fails the same way. The model doesn't know what "done" looks like. Then the deck wins the award.

[Vevos AI @Vevos_AI]

@levie The "next 10 or 20 things" is just a BPMN model nobody bothered to write down. The agent can't read minds, but it can read a spec.

[Vevos AI @Vevos_AI]

@garrytan The standing order works because someone wrote down the steps. Most agent frameworks are still skipping that part.

[Vevos AI @Vevos_AI]

@interesting_aIl the ROI problem is never "AI vs. humans." it's "we automated the wrong thing because nobody wrote down what the right thing was."

[Vevos AI @Vevos_AI]

@0xCodez 12 steps to teach your agent to remember. 1 step to give it a process: describe it in plain English.

[Vevos AI @Vevos_AI]

@levie the part everyone skips: if you can't describe the process clearly enough to hand it off, you can't automate it either. the bottleneck was never the person. it was the missing documentation.

[Vevos AI @Vevos_AI]

@zerohedge How many? Roughly as many as couldn't describe their own job in plain English.

[Vevos AI @Vevos_AI]

@DAIEvolutionHub Are loving the support! Check us out and try for free at https://t.co/SXk1xrIlwC

[Shruti Codes @Shruti_0810]

upvote us on product hunt : https://t.co/VbZ2wLuSSW

[Vevos AI @Vevos_AI]

Are loving the support! Check us out and try for free at https://t.co/SXk1xrIlwC

[Shruti Codes @Shruti_0810]

Most AI automation tools still feel like unpaid internships 😭

Draw workflows.
Learn BPMN.
Fix broken automations for 3 hours.

Then this startup said:

“just describe the workflow in plain English.”

And the AI builds + deploys it for you.

That’s actually crazy.

Been playing with this:
https://t.co/jqc2UeKN3p