Everyone is selling AI agents, but almost nobody is selling the workflows to make them useful.
Summary
The article argues that while many are building and selling AI agents, the real value lies in the workflows and training that make them useful, not the underlying technology.
Similar Articles
AI agents are starting to expose how broken most workflows already were
The article argues that AI agents are revealing how unstructured and chaotic many corporate workflows actually are, suggesting that successful automation depends more on clean systems and documentation than on advanced models.
Are we calling too many workflows “agents”?
The author questions whether many so-called AI agents are better described as workflows, arguing that for repeatable browser tasks, defined workflows may be more reliable than agents that reinterpret steps each time.
Everyone builds AI workflows. Almost no one sticks with them. Here’s why.
A founder shares his experience with AI tool adoption, noting that most people collect tools without achieving real results. He advocates focusing on one critical business problem and iterating until the workflow genuinely works, citing his own success reducing client reporting time from 4-5 hours to under 45 minutes.
Selling AI tools is a dead game. Selling outcomes is the only play.
This article argues that selling AI tools alone leads to a race to the bottom, and instead recommends selling outcomes by using AI to deliver existing services more efficiently, highlighting a shift from builders to operators.
Are AI agents actually useful yet, or still mostly hype?
A discussion about whether AI agents are practically useful beyond demos, with users sharing experiences in lead generation, customer support, and workflow automation.