The origin. Posted by u/Warm-Reaction-456 to r/AI_Agents, spotted 7 October 2026.
What we know. The poster runs an AI automation agency and compares two projects it built for clients: a research agent for a startup, and a text and voice agent for a realtor in Canada. The account, including the client details and the figures below, comes directly from that post. We have not independently verified it.
An agency that has spent eight years building software for other businesses says the most profitable AI agent it ever shipped went to a client who did not know what the word "agentic" meant and did not care. The agent the poster is proudest of, a research tool for a startup, made that client close to nothing. The one that paid off went to a realtor with 60,000 old leads nobody was calling back.
The impressive agent made almost nothing
According to the poster, the research agent was "the coolest thing we've ever shipped." It did the kind of work that shows well in a demo. But it made the startup close to nothing, in the poster's account, because nobody at the company could point to a specific number it had moved. The work the agent did was real, but it sat upstream of any sale, and nothing downstream changed because of it.
The poster contrasts that with a realtor client in Canada. This client had about 60,000 leads sitting in a CRM, people who had shown interest at some point and then gone quiet. The poster says the realtor had basically written the list off. He did not know what an AI agent was, and the poster says he did not care to learn. What he wanted was simple: find out which of those 60,000 people were still looking to buy or sell.
A text message did what the research agent couldn't
The agency built a text agent and a voice agent with one job: work through the old leads and find out who was still in the market. No planner agent, no critic agent, none of the architecture the poster says fills most posts about agent building. Just a tool that did the one unglamorous task a busy realtor's office had never gotten around to doing by hand. The poster calls it the best money any client of the agency has made off AI.
The poster's explanation is that a small service business is usually starting from close to nothing when it comes to follow up. The phone goes to voicemail while everyone is out on a job. A quote goes out once and nobody ever calls to ask if the customer is still interested. There is no existing process being replaced, so an agent that simply does that chasing shows up as a plain, visible gain. A research agent, by contrast, lands inside a company that already has people doing some version of that thinking, so its contribution is harder to isolate and harder to bill for.
Two things to do tomorrow morning
First, before building anything that looks impressive, go looking for the place in a real business where nothing is currently happening at all. Old leads nobody is calling back. Quotes sent once and never chased. Calls that go to voicemail during busy hours. An agent that fills a gap like that has an easy baseline to beat, because the baseline is zero. An agent that augments work a skilled person is already doing has to clear a much higher bar before anyone notices it.
Second, before you start, write down the one number the agent is supposed to move, a response rate, a reopened deal, a booked call, and check back against that same number when it ships. If nobody can name what number changed, you may have built something clever rather than something that pays for itself. The poster's research agent was not a bad piece of work. It just was not pointed at anything anyone could measure.