What comes between sign-in and the trial reminder in Cal AI’s paywall flow?
- By Ali Abouelatta
- Published
- Reviewed
- 2 min read
- onboarding · paywall · trial
Short answer
The three public screens in Lazyweb’s August 2026 Cal AI onboarding-paywall capture show a save-progress sign-in choice, a trial introduction, then a reminder promise conditional on notifications being enabled. They do not show a purchase-confirmation sheet, a renewal price or the complete onboarding sequence. source[1]
The captured order
| Position | What is visible | What it establishes |
|---|---|---|
| 1 | Save your progress, with Apple, Google and email options | Account choices are presented before the trial introduction in this captured segment. |
| 2 | Trial invitation, a product-scanning visual and a Try Now action | The screen introduces the trial and says no payment is due now. |
| 3 | Reminder promise before the trial ends, conditional on notifications | The next screen addresses trial-end reassurance and offers a continuation action. |
All three observations come from the ordered public capture. source[1]
What this does not establish
The segment does not show a selected subscription duration, total renewal amount, completed purchase or delivered reminder. It cannot establish the full onboarding length, whether sign-in can be skipped, or what every account sees. The separate onboarding and notifications captures provide additional context, but combining their step counts does not by itself reconstruct one continuous journey. source[1]source[2]source[3] The full public app-tree capture now exposes the plan selector and App Store sheet that follow this segment. source[4]
A useful design hypothesis
Separate account persistence, the invitation to try and trial-end reassurance when each answers a different user question. Keep a reminder promise tied to the conditions under which it can actually be delivered. Test comprehension and completion in your own product; the existence of this sequence is not proof that it converts better.
Real in-market screens
Screens from real, in-market apps, tracked by Lazyweb Research.
Methodology
Visual inspection of the three public screens in one Cal AI flow segment. Describes captured order and copy, not a full first-run journey or an A/B-test winner.
Sources
- [1]
Cal AI onboarding-paywall capture
Three public screenshots, updated August 2026; visually inspected in their displayed order.
- [2]
Cal AI onboarding capture
Separate flow; do not assume this plus the paywall segment forms a complete continuous recording.
- [3]
Cal AI notification opt-in capture
Separate permission flow, linked for further inspection.
- [4]
Full public capture, including checkout
Pinned August 2026 screenshot, visually reviewed September 9, 2026. An observed interface, not a measured experiment result.
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-09-09.


