AppBlockr

Willpower fails at 11pm when the app is one tap away. AppBlockr inserts a gate: before a blocked app opens, you complete a task you set yourself, photograph evidence of it, and the AI decides whether what’s in the frame matches what was required. Pass the check, the app unlocks for your chosen duration. When the window closes, the cycle resets. Three block modes — task-gated unlock, hard lockout, and a breathing exercise pause — can be combined and assigned to different time periods, so mornings run strict rules and evenings run looser ones.

The differentiating feature is AI image verification applied at unlock time. The vendor states it performs context-sensitive recognition — it understands what should be visible for a given task without manual configuration — and that photos are not held permanently. Anti-sabotage measures on the settings themselves (math puzzles, hold buttons, navigation paths) close the obvious workaround of just turning the rules off.

AppBlockr fits individuals building personal routines around a phone habit they want to slow but not eliminate. The ‘earn your scroll’ model is explicitly not a cold-turkey ban — it links entertainment to completion, which the vendor frames as habit formation over punishment. Where it breaks: there is no API, no admin console, no shared accountability layer, and no multi-device policy enforcement. A parent trying to manage a child’s device, or a team lead trying to enforce focus time across a group, hits a hard ceiling fast.

All configuration lives on-device. The vendor offers a free entry point with no subscription details surfaced publicly. Statistics tracking — daily and weekly screen time, app usage ranking, completed task history — gives enough signal to see whether behavior is actually shifting, but the data stays local to the user.