Building AI-Powered Email Sequences with OpenClaw

Goal: ship sequences that sound human, stay compliant, and produce measurable replies.

Start with a persona, not a template

A good sequence is not “five emails”. It is a story with a role-specific hook, a clean CTA, and proof points. Use your cheat sheet to pick one persona and one trigger to start.

Sequence anatomy (recommended)

• Email 1: short role-based hook + proof point + single CTA.
• Email 2: add evidence (customer/metric) + clarify the ask.
• Email 3: objection pre-emption (timing, budget, build vs buy).
• Email 4: “breakup” or alternative path (resource, referral).

Parallel LinkedIn layer

Pair your emails with a LinkedIn sequence: connection request, short follow-up, and when appropriate, InMail. The message format should be optimized for LinkedIn mechanics: shorter, more conversational, and anchored to a signal.

Make it measurable

• Track step-level reply rate (email) and accept/reply rate (LinkedIn).
• Keep personalization variables consistent and auditable.
• Iterate one variable at a time: hook, proof point, CTA, audience slice.