Write Kulpun's 5-email launch sequence
Kulpun is an AI customer-support inbox for small businesses going global. It needs an onboarding email sequence that turns sign-ups into active users.
- Category
- Marketing
- Lesson
- 15 min
- Effort
- ~8h
- Prize
- $100
- Closes in
Learn
15 min lesson
What you'll learn
How lifecycle emails turn sign-ups into active users, and how to write copy that is clear rather than clever.
Key ideas
- Activation over announcements. Each email helps the reader reach the next step toward value, such as connecting a channel or getting a first AI answer.
- One email, one job, one button. Multiple asks lower the chance of any of them happening.
- Write for the reader's situation. A shop owner reading on a phone between customers wants the benefit and the next step, fast.
- Subject lines set expectations. Be specific, not tricky. Preview text is a second headline.
- Respect the inbox. Fewer, better emails, and easy to unsubscribe.
How to approach it
Map the activation steps first, assign one step per email, then write, cut by a third, and read each one on your phone.
Finish the lesson to unlock submitting.
Sign in to start learningDo
about 8h of work
The task
Deliverables
- 01Five emails with subject line, preview text, body and CTA
- 02The send schedule (which day each one goes out)
- 03A strategy note: the audience, the activation goal and why each email exists
Acceptance criteria
Judged against exactly these
- Each email has exactly one clear call to action
- The sequence moves the reader toward activation step by step
- The copy is specific to small businesses, not generic SaaS language
- Subject lines are clear and not clickbait
- Emails are short enough to read on a phone
Rules
- Complete the lesson first. The submit form unlocks once you mark it done.
- Submit a link to your work: a public GitHub repo or PR for code challenges; YouTube, Google Drive or Docs, Figma, Notion or a live site for everything else.
- AI tools are allowed and encouraged. Plagiarised or copied work is disqualified.
- The work must be made during the challenge window. For code, the commit history must show it.
- An AI reviewer pre-scores every entry against the acceptance criteria. A human makes the final decision.
- On payout, Alt AI Labs receives a licence to use the winning work (MIT for code). Non-winning entries stay yours.
- Do not include secrets, API keys or anyone's personal data. Use the provided demo data only.
Submit
Sign in and complete the lesson to submit. Entry is free.
Sign inResults
- 01
AI pre-score
AI reviews your write-up against the acceptance criteria. It cannot open your link, so explain your work clearly.
- 02
Human decision
A human reviews the work itself and makes the final call. The AI score is advisory.
- 03
Win
Winners are paid 1st $100, and their work is shown to the organization behind the challenge.
Posted by
Alt AI Labs