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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

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Evergreen course email engine

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 →

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.

Apply for Q3 2026 → See all 8 agents