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TasksChecked 2026-09-06 Visit the official product page
TasksCAN I VIBECODE
Any.do?
YESA focused first version is a sensible AI-assisted build. Keep the first release narrow and polish the workflow people repeat.
BUILD FIRST
- One defined user and a repeatable end-to-end job
- A small, clear data model with sign-in only if it is genuinely needed
- Loading, empty, error, and success states that make the workflow feel complete
LEAVE FOR LATER
- Large integration marketplaces
- Multi-region scale and enterprise administration
- Every power-user setting from the established product
RESEARCH NOTES
What this tool actually does.
Getting Started with Premium | Any.do Help Center — Power up your personal productivity with smarter tools and deeper focus.
SOURCES
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build a focused replacement for Any.do for one person managing tasks across a few projects, based on this public product description: “Getting Started with Premium | Any.do Help Center — Power up your personal productivity with smarter tools and deeper focus.” Do not copy the original brand, proprietary assets, name, logo, UI, or copy; create an original visual system.
Core workflow
- Recreate only the narrow primary workflow described above, with create, edit, prioritize, schedule, complete, and filter tasks; support projects, labels, recurring rules, and a clear overdue state; provide keyboard-friendly editing, reminders as an optional adapter, and export; include local demo data and persistence tests.
- Keep the product name and source description in a research note in the README, and turn every uncertain behavior into an explicit assumption or user setting rather than inventing a feature.
- Use a small React/TypeScript app with a portable JSON or SQLite data model, clear loading/empty/error states, and adapters around external services. Seed realistic demo data so the complete workflow works without paid credentials.
Scope boundaries
- Out of scope for v1: team chat; enterprise resource planning; dozens of third-party integrations. Do not promise feature parity, proprietary data, or enterprise reliability.
Include a README with setup, environment variables, data model, implementation decisions, privacy behavior, testing instructions, and important limitations.