AI Business Outreach System
Discovers, researches, and drafts personalized outreach — with a human always approving before anything sends.
Problem
Personalized outreach that's actually researched (not templated) takes real time per prospect, which puts a hard ceiling on how many businesses a small team can reasonably reach out to.
Solution
An agent pipeline that discovers relevant businesses, researches each one, identifies a specific AI/automation opportunity for it, and drafts a personalized email — then stops and waits for a human to approve before anything goes out.
Architecture
Discovery and research stages run as agent tasks against public sources; each finding is written to a structured record. A drafting stage turns that record into a personalized email tied to a specific opportunity. Nothing reaches the send stage without an explicit human approval step.
Workflow
Technology
Screenshots
Screenshots in progress
This system is still being built — screenshots will be added as it takes shape.
Demo
Demo in progress
A walkthrough of this project isn't recorded yet — check back soon.
Lessons
- The approval step isn't a limitation bolted on afterward — it's the part that makes personalized-at-scale outreach trustworthy instead of spammy.
- Research quality is the actual bottleneck; a well-researched opportunity makes the draft nearly write itself.
Potential Business Applications
- SMB prospecting for a services business
- Partnership or sponsorship outreach
- Any outbound motion where personalization is the difference between reply and ignore