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Build an AI Outreach Engine That Finds Its Own Prospects DailyBuild an AI Outreach Engine That Finds Its Own Prospects Daily

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Build an AI Outreach Engine That Finds Its Own Prospects DailyBuild an AI Outreach Engine That Finds Its Own Prospects Daily

You already know outreach works. You also know what it costs you: a whole morning to send ten messages worth reading, a contact database on a monthly invoice, and an outreach platform priced for a sales team of twelve. So it slides down the list again, and the pipeline stays flat.

Taylor Logue, founder and CEO of Taylored Marketing, runs social and demand generation for founder-led businesses. She built her first outreach system on Claude and n8n with an Apollo subscription sitting behind it. Then she rebuilt the whole thing on a single computer-use agent costing thirty dollars a month, and dropped the database entirely. This episode is the rebuild, on screen.

What you get out of it: a daily prospect list that arrives before you start work, messages written against a brand voice you defined once, and a deliberate manual step that keeps your LinkedIn account safe. It is AI for social media pointed at the pipeline instead of the content calendar.

07:00   Scheduling the daily run so the list is waiting for you

08:00   Why she makes the agent stop at a CSV instead of sending

12:00   Why an agent that never asks questions needs a fuller brief

The first build worked. Claude wrote the messages, n8n moved them between steps, and Apollo supplied the contacts. That last piece is the one most people never question, because a prospect database feels like infrastructure rather than a choice.

“When I was using Claude and n8n, I also still had to have my Apollo subscription,” Taylor says.


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