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Agent 03 OS · L04 · L03

Email Nurturer

RAG-powered email sequences

Reads each prospect's data and writes contextual emails — not generic blasts. Replaces the 7-email drip with adaptive sequences. Every email is generated against the prospect's quiz/qualification data, behavioral signals, and your brand's top-converting copy patterns. Sends when the prospect is most likely to open, not on calendar.

Performance · across active deployments

+47%
Open rate lift vs static drip
+82%
Reply rate lift on contextual emails
Per-msg
Attribution tracked
92%
Voice-match precision
How it works

The mechanism, in 4 layers.

RAG retrieval
Pulls top-converting email examples from your historical winners, the brand voice KB, and the objection library when composing each message.
Adaptive cadence
Sends based on opens, clicks, and inactivity. A prospect who opens within 30s gets a different next-touch than one who opens 3 days later.
Per-message attribution
Every email tagged with the specific personalization signals used. Lets you see which signals drive conversion.
Brand voice match
Trained against the client's 50 highest-converting historical emails. Outputs match tone, length, and structure.
Wired into

Integration stack.

GoHighLevel email engineOpenAI / Claude (composition)Make.com (cadence logic)Custom RAG layer (Supabase pgvector)
Knowledge base sources

What the agent reads.

Top-converter email libraryBrand voice indexObjection-to-angle mapProspect data per lead
Example in production

One real interaction.

Input
Prospect from Qualifier: ad spend $18K/mo, ROAS 1.4×, pain "SDR team not booking enough", urgency "Q3".
Output
Email 1 (sent at 9:42 AM their local tz): subject "Re: SDR team — saw your Q3 timing". Opens with their specific pain, references a Champion Client with similar setup, ends with a 1-question reply prompt. Reply rate on this pattern: 31%.
Live in production at

3 case studies that feature this agent.

Trial-to-paid sequences
Learn Hungarian Fast
→ View case study
Evergreen course email engine
Chad Mureta
→ View case study
Restructured drip
Clean Bowl Club NYC
→ View case study

More agents

★ Agent
Onboarder Agent
Closes deal → kickoff scheduled, assets collected, intro emails sent — before the customer asks. Triggered the second a contract is signed.
★ Agent
Qualifier Agent
Asks the 4-6 questions that separate buyers from browsers. A multi-turn conversational agent that asks the right qualifying questions in your brand voice.
★ Pairs with this agent

Avatar Fleet — the video layer above the 8 agents.

Once this agent fires, the Avatar Fleet ships the founder-clone video that follows up. HeyGen + ElevenLabs + multicam pipeline. 1,800+ minutes shipped across active deployments.

See the Avatar Fleet
★★★★★

"Adam was very helpful and made time to discuss my project on short notice. He clearly knows his stuff and provided useful insights. I'd recommend working with him."

60 minute consultation · 2024 · Upwork verified →
★★★★★

"Adam was very helpful and made time to discuss my project on short notice. He clearly knows his stuff and provided useful insights. I'd recommend working with him."

60 minute consultation · 2024·Upwork verified → · Upwork ✓
★★★★★

"This review is in regards to a consultation only. I look forward to working with Adam in the near future."

60 minute consultation · 2023·Upwork verified → · Upwork ✓
Ready to deploy this agent?

Replace your drip with adaptive sequences.

Every Growth and Scale engagement ships with the full 8-agent fleet — including this one. Adam personally tunes each agent to your brand voice and ICP.