I Don't Care About AI. I Care About My Pipeline.

I am not an AI person.

I am a pipeline person. I have been for 15 years.

I ran growth at Somewhere. I managed $10M in ad spend across 30 markets. I know what a qualified conversation is worth and what it costs to generate one.

So when people started talking about AI, I tuned it out. Not because I was being stubborn. Because I had seen too many tools promise scale and deliver noise. And I was busy enough doing the real work.

Then I ran the numbers on the real work.

01What Does Manual Prospecting Actually Cost?

Not in dollars. In hours.

To find a prospect, research them properly, write a personalised email, and follow up takes between 40 and 60 minutes per person when you do it right. Not when you dash off a generic message. When you actually read their LinkedIn, find the signal, and write something they will want to reply to.

If you want 100 real conversations a year, that is 70 to 100 hours of your time. At founder or senior operator rates, that is probably your most expensive cost of sale. More expensive than ads. More expensive than a junior hire.

Most people do not run this number. They just feel busy.

I ran the number. Then I built something to fix it.

02What Did Building an SDR Agent Actually Look Like?

I built Aragorn. An agent that monitors signals across job boards, news, and LinkedIn, enriches each prospect automatically, writes a personalised outreach email from the actual signal data, and holds everything in an approval queue.

Nothing sends without a human reviewing it. That is not a safety feature. It is the design.

On day one I ran 10 prospects through it in under an hour. No manual research. No copy-paste. Just review and approve.

The emails were better than what I was writing manually at 11pm when I was tired. Because the agent is never tired and it does not skip the research when it is pressed for time.

03Is the Output Actually Good Enough to Send?

This is the right question and the honest answer is: yes, with the approval gate in place.

The agent pulls real signals. If a prospect just hired a VP of Sales, it writes to that signal specifically. If they just raised funding, it writes to the expansion moment. The emails are not templates because the research is not templated. Each one is built from actual data on that specific person and company.

The approval gate is where quality lives. You read every email before it sends. You decline the ones that miss. The system learns what missing looks like. After 90 days of approvals you have a system that understands your standards because you enforced them.

04Does This Replace a Sales Team?

No. It replaces the prospecting and drafting work that happens before a sales conversation adds any value.

The agent does the work nobody should be doing at founder rates. The human does the work that requires judgment - deciding who to contact, approving the message, running the conversation once there is one.

If you have spent any time in Nick Huber's world thinking about delegation, you already know this framework. You hire out the work a $15-an-hour person could do. An agent does that work for less than a $15-an-hour person and it runs 24 hours a day.

You just have not applied the delegation model to your pipeline yet.

05What Actually Changed After Running This?

I had pipeline running while I was building product. While I was in other meetings. While I was asleep.

The pipeline did not stop because I stopped. That is the shift that is hard to explain until you have experienced it. Not a dashboard improvement. Not a percentage gain. A pipeline that does not depend on your availability to function.

That is not an AI outcome. That is a business outcome.

Read about how we built Aragorn and the rest of the system if you want to understand what is actually under the hood.