Users pay for blocking that holds — hardened app limits and schedules — because a screen-time reminder you dismiss is a notification, not a boundary.
REPLACEMENT BRIEF
productivity utilities
Can AI replace Opal?
Screen-time rules with app blocking is a buildable focus tool — Apple exposes the APIs. The product's edge is the hardened enforcement: blocks you cannot casually bypass, scheduling, and the friction design — the commitment device, not the timer.
Build a local desktop utility that captures the essential screen-time control workflow with keyboard-first controls and local storage.
Build the personal version →AT A GLANCE
- price
- $8.33/mo
- listed annual price
- $99.96/yr
- replaceable scope
- narrow personal or very small-team substitute
- build time
- multi-day
Build promptcatalog estimate
the prompt
Catalog estimateBuild a deliberately narrow personal substitute for Opal, not a full clone. Use exactly this stack: Tauri 2 + React + TypeScript + SQLite. Primary job: Build a local desktop utility that captures the essential screen-time control workflow with keyboard-first controls and local storage. Start from an empty folder and create the complete working project. Make the default mode single-user and private. Store user data locally unless the core job requires the declared self-hosted database. Do not add analytics, telemetry, ads, or third-party accounts. Put every secret and external credential in .env and provide .env.example. Use realistic sample data that is clearly labelled and easy to delete. Implement the smallest polished interface that completes the core loop end to end. Include clear empty, loading, validation, success, and failure states. Add import and export so the user is not trapped in the app. Use accessible keyboard navigation, labels, focus states, and sensible contrast. Validate untrusted input and never log secrets or private file contents. Deliberately exclude these paid-product advantages: cross-device sync; deep operating-system edge-case coverage; polished shortcuts and accessibility. Do not fake integrations, network effects, proprietary data, model quality, compliance, or security claims. Where an external API is optional, keep the app useful without it and explain the degraded mode. Write focused unit tests for the data model and the most important workflow. Add one end-to-end smoke test that proves the core loop works. Create a README with setup, permissions, architecture, data location, backup, and limitations. Add scripts for install, development, test, build, and a production-style local run. Run the tests and build before finishing, then fix errors rather than merely describing them.
The prompt stays readable first. Choose a launch option when you are ready.
$ open in your agent (prompt prefilled, you press enter) or copy it raw · suggest a correction
what AI can build
Build a local desktop utility that captures the essential screen-time control workflow with keyboard-first controls and local storage.
Editorial catalog estimate · not a completed build
The honest tradeoff
why people still pay
what you lose
xSystem-level screen time blocking using Apple Screen Time API framework
xDeep Focus mode locking apps completely with no bypass option
xFocus Score tracking daily digital wellbeing and phone distraction trends
xCommunity leaderboard motivating users to build healthy phone habits
xAutomated daily schedules blocking social media during working hours
Start with existing software
prior art · use these instead of building, if you'd rather
EVIDENCE LEDGER
What this page can prove
The verdict judges replaceability. The evidence level records what DeepFeather actually checked.
Editorial catalog estimate · not a completed build
Pro · annual-equivalent individual subscription
known limits · System-level screen time blocking using Apple Screen Time API framework; Deep Focus mode locking apps completely with no bypass option
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questions
Can AI replace Opal?
Possibly for a narrower core workflow, but this catalog judgment is not a verified build. Expected gaps include: System-level screen time blocking using Apple Screen Time API framework, Deep Focus mode locking apps completely with no bypass option. Validate the prompt against your own acceptance criteria before committing.
How much does Opal cost?
Opal is listed at about $8.33/month (Pro, checked 2026-07-31), or $99.96 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.
What do I lose by replacing Opal?
Honestly: System-level screen time blocking using Apple Screen Time API framework; Deep Focus mode locking apps completely with no bypass option; Focus Score tracking daily digital wellbeing and phone distraction trends; Community leaderboard motivating users to build healthy phone habits; Automated daily schedules blocking social media during working hours. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to Opal?
Yes — ActivityWatch (Local-first automatic time tracking with an extensible event model.). Using prior art is also a valid exit; the prompt is for when you want it exactly your way.