AI custom widgets: small dashboard tools worth building

An AI custom widget is most useful when it solves one small, repeated problem that a standard widget does not quite fit. A packing checklist with a reset button is a good example. A tiny replacement for your entire project management system probably is not.

Dashy V2 is developing a workflow for describing a widget, previewing it, refining the result and placing it on a dashboard. It is a development preview, planned for October 2026. The examples here are ideas and specifications to try in a supported builder, not a gallery of released, tested templates.

First ask whether a regular widget is enough

If your idea is “a list of things to do,” start with tasks. If it is “a place to put text,” start with notes. Existing tools usually have fewer surprises than something newly generated.

A custom widget earns its place when the interaction is distinctive. Maybe you want to count practice rounds without opening a note, switch a checklist between packing and unpacking, or keep one number beside a label you chose.

Describe that interaction before choosing colors. A gorgeous card with an unclear button will become decoration after its first week.

Six small tools with a clear reason to exist

These are deliberately modest. You should be able to explain what success looks like in a sentence.

For the water tracker, choose your own target; a generated interface is not a source of health advice. For meeting preparation, start with a link and your own notes instead of assuming access to a calendar or recording service.

Write a brief that describes behavior

“Make a beautiful reading widget” leaves almost every important decision unspecified. Try something closer to this:

Create a compact reading card for one book. Show the book title, current page and total pages. Let me edit those three values. Provide a button to add one page and a way to correct mistakes. Remember the values after I close and reopen the dashboard, using the host's supported storage. Do not use external services. Keep the text readable in a narrow widget.

That tells the builder what the tool displays, what a click does, what persists and what it should avoid. None of it requires knowing a programming language.

Add visual preferences afterward: a quiet surface, one accent color, clear labels. If the host supplies icons or controls, ask the builder to use the supported ones. Do not assume an arbitrary icon library or external script can load inside every widget sandbox.

Treat the preview as a tiny product review

The first useful question is “does it work?”, followed quickly by “will I understand it tomorrow?”

For the reading card, try this sequence:

1. Enter a short title, then a long one. Neither should hide the controls.
2. Set the current page to 12 and the total to 240. Add one page and verify 13.
3. Correct the page back to 12. Mistakes should be easy to undo manually.
4. Try an empty value and a page beyond the total. Check that the widget handles them sensibly.
5. Reopen the preview or dashboard as the builder allows, and verify what was saved.
6. Check the smallest size you intend to use and navigate the controls with the keyboard.

Ask the builder for a focused revision when one item fails. “Keep the layout; fix long titles wrapping over the edit button” gives it a much clearer target than “make it better.”

Specify resets instead of discovering them by accident

A counter needs a reset rule. “Daily” still leaves questions: the device's day or another timezone, midnight or first use, automatic or manual? Keep version one simple if the host's date handling is unclear.

For a packing checklist, a manual “Start a new trip” action is easy to understand. You can specify that it clears checkmarks but keeps the list. That avoids asking the builder to infer whether reset should erase the items themselves.

For the weekly intention card, decide whether you want history. If the answer is yes, explain where the previous entry should go and verify that the host supports it. A label saying “saved” is not a substitute for finding the old entry later.

Separate generation from ongoing AI usage

A generated widget does not inherently need a model call for every interaction. A simple counter can be ordinary code. Asking it to summarize a document, fetch live information or generate advice is a different feature with additional data and service requirements.

Keep that distinction in the brief. “No external services” makes a good starting constraint for a small tool. It is still something to verify, not a guarantee produced by the wording alone.

Dashy's AI guide describes its sandboxed custom-widget direction and cloud generation requirements. Sandboxing limits capabilities; it does not establish that every generated behavior is correct. Review the result before relying on it.

Stop when the small tool works

A useful widget can become less useful through endless additions. A reading card gains a quote generator, then a recommendation feed, then a chat box, until the page number is the smallest thing on it.

Keep the original job visible. Use the widget for a few days before adding another feature. If it needs more room, reconsider whether that work belongs in a full app with a link from your dashboard.

The goal is a personal tool you understand at a glance. Pair it with the minimalist dashboard approach, and let a genuinely useful interaction earn its space.