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What comes between sign-in and the trial reminder in Cal AI’s paywall flow?

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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. [1]

By Ali Abouelatta · Lazyweb Research · Published 2026-09-09 · Reviewed September 2026

onboardingpaywalltrial
Save-progress sign-in choice in the August 2026 capture
Trial introduction with a product-scanning visual
Trial reminder promise conditional on notifications
Real in-market screens from Cal AI, Cal AI, Cal AI — tracked by Lazyweb Research

The captured order

PositionWhat is visibleWhat it establishes
1Save your progress, with Apple, Google and email optionsAccount choices are presented before the trial introduction in this captured segment.
2Trial invitation, a product-scanning visual and a Try Now actionThe screen introduces the trial and says no payment is due now.
3Reminder promise before the trial ends, conditional on notificationsThe next screen addresses trial-end reassurance and offers a continuation action.

All three observations come from the ordered public capture. [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. [1][2][3] The full public app-tree capture now exposes the plan selector and App Store sheet that follow this segment. [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.

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 & citations

  1. [1] Cal AI onboarding-paywall capture Open source. Three public screenshots, updated August 2026; visually inspected in their displayed order.
  2. [2] Cal AI onboarding capture Open source. Separate flow; do not assume this plus the paywall segment forms a complete continuous recording.
  3. [3] Cal AI notification opt-in capture Open source. Separate permission flow, linked for further inspection.
  4. [4] Full public capture, including checkout Open source. 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.

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