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AI Automation

Nao Medical — production AI cold-email system

Built a production cold-email engine sending 6,000 personalised emails per month at $80/month total cost, using Gemini grounded with Google Search.

Problem

A NYC healthcare group needed reliable, grounded outbound at a fraction of typical SaaS costs. Existing tools were either expensive (>$1K/mo for the volume) or low-quality.

Approach

Architected a pipeline that grounds every email in real-time Google Search context, rotates across multiple inboxes for deliverability, and stays inside free-tier rate limits by design.

Outcome

A self-sustaining outbound engine running at a 95% cost reduction vs. comparable SaaS, with deliverability and quality competitive against tools costing 15× more.

Impact

  • 6,000Emails sent / month
  • $80Total monthly cost
  • ~95% cheaperVs. comparable SaaS

Tech stack

Gemini
Google Search API
Inbox rotation
Free-tier rate-limiting

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