AI UX Microcopy: Buttons, Errors and Empty States

AI UX microcopy is the practice of using an assistant to write the small pieces of text inside a product: button labels, error messages, empty states, tooltips, confirmations and form hints. These few words decide whether a user finishes a task or gives up, and an assistant can draft dozens of options in a minute, as long as you give it the context that a real interface designer would need.

This guide explains what makes good microcopy, how to prompt for each type, how to keep a consistent voice, how to prepare strings for translation and accessibility, and how to test the result. The principles apply to apps, websites and internal tools, whatever assistant you use.

What AI UX microcopy is and why it matters

Microcopy is the functional text of an interface. It sits close to an action: next to a field, on a button, inside an error banner. It belongs to the wider craft of content design, which treats words as part of the design and not as decoration added at the end.

Good microcopy does four jobs. It tells people what will happen, it helps them avoid mistakes, it explains what went wrong when they make one and it builds trust through tone. A button labelled “Submit” says nothing about the result. A button labelled “Send my request” says what happens, and one labelled “Pay €29 and start” sets the price expectation. The difference often shows in completion rates, support tickets and returns.

Give the assistant the context it needs

Without context, an assistant writes generic text that could belong to any product. Provide a short brief for each request:

The screen and the goal. “Checkout step 2, the user enters a delivery address.”
The user. New or returning, expert or beginner, device and mood.
The action and its consequence. What the button does, whether it can be undone and whether money or data is involved.
The voice. Three adjectives and one example sentence. See our guide to an AI brand voice.
Constraints. Character limits, languages, terms that must be used or avoided.

Then ask for several options in a table with the character count of each. The comparison makes it easy to pick, and the counts keep you within the space available on small screens.

Button labels and calls to action

Buttons should start with a verb and say what the user gets. Avoid vague labels such as “OK”, “Submit” and “Continue” when a more specific word is available. If a screen has a primary and a secondary action, make the difference obvious: “Save changes” and “Discard”, not “Yes” and “No”.

Ask the assistant for three styles and compare them: a plain version, a benefit version and a short version for narrow screens. Check that the label still makes sense in isolation, because screen reader users often navigate by listing buttons and links. Avoid “Click here” and “Read more” without context for the same reason.

Error messages that help

An error message is a moment of risk: the user is stuck and may blame themselves or the product. A good message has three parts, which the accessibility guidance on error identification and the companion advice on error suggestions support:

What happened, in plain words and without blame.
Why, if the user can act on the reason.
What to do next, with a clear action or a way to get help.

For example, “Invalid input” can become “We could not read that date. Use the format 31/12/2027.” Likewise, “Error 500” can become “Something went wrong on our side. Your order is safe. Try again in a minute or contact support.” The assistant is good at producing such rewrites when you paste the raw message and the technical cause. It is not good at guessing the real cause, so supply it.

Keep technical codes available for support, for example in a small line below the message, and never show stack traces to users. Our guide to debugging code from an error message covers the developer side of the same problem.

Empty states, confirmations and onboarding hints

Empty states appear when there is nothing to show yet: an empty inbox, a new project, a search with no results. They are an opportunity to teach. A strong empty state says what the area is for, why it is empty and how to fill it, with one clear action: “No invoices yet. Create your first invoice to track payments.”

Confirmations should reassure and close the loop: “Saved. Your changes are live.” For destructive actions, name the object and the consequence: “Delete the project ‘Spring campaign’? This removes 12 files and cannot be undone.” Offer a safe default and a clearly different label for the dangerous choice.

Onboarding hints and tooltips should be short and appear when the user needs them. If a tooltip is longer than a sentence, it probably belongs in a help article. Our guide to AI help centre articles explains where to put the longer explanation.

Before and after examples

Element	Weak version	Stronger version	Why it works
Button	Submit	Send my request	States the result
Form hint	Enter password	At least 12 characters. Spaces are fine.	Gives the rule before the error
Error	Something went wrong	We could not save your changes. Check your connection and try again.	Explains and offers a step
Empty state	No data	No reports yet. Create one to see your results here.	Teaches and prompts action
Confirmation	Success	Your profile is updated.	Names what changed
Destructive prompt	Are you sure?	Delete 3 files? This cannot be undone.	Shows the consequence

Form labels, placeholders and sensitive moments

Forms are where microcopy meets effort. Put the label above or beside the field and keep it visible, because placeholder text disappears as soon as someone types. Use the placeholder for an example format, not for the instruction. Mark optional fields rather than required ones when most fields are required, and explain why you ask for sensitive data such as a phone number: “We only use it to text delivery updates.”

Tone matters most when something is wrong: a failed payment, a deleted account, a security warning. Ask the assistant for a calm, direct version without exclamation marks, jokes or false cheer. Humour that works on a welcome screen feels careless on a billing error. State the facts, the effect on the user and the next step, and offer a human contact for serious problems.

Keep one consistent voice

Inconsistent text makes a product feel unreliable: “Sign in” on one screen, “Log in” on the next, “Enter” on a third. Create a short glossary of the terms you use for key actions and objects, and a voice guide with a few examples of how you do and do not sound. Give both to the assistant at the start of every session.

In Ask Mio, projects hold instructions and files, so you can store the glossary and voice guide once and reuse them in every chat inside the project. Our guide to projects and memory shows how. Review generated text against the glossary, because assistants drift toward synonyms.

Prepare strings for translation and accessibility

Microcopy rarely stays in one language. Write with translation in mind:

Avoid glued sentences. Do not build messages from fragments, because word order differs between languages. Use full sentences with placeholders such as {name}.
Handle plurals properly. “1 file” and “2 files” need separate forms, and some languages have more than two.
Leave room. Translations often run 30 per cent longer, and German or Finnish compounds can overflow buttons.
Skip idioms and puns. They rarely survive translation.
Give translators context. A note saying where each string appears prevents wrong choices.

Our guides to localising a website with AI and AI translation quality cover the next step. For accessibility, make sure every field has a visible label, errors are announced in text and not by colour alone, and links and buttons make sense when read out of context. The AI accessibility checker guide explains what automated review can find.

A review checklist for every string

Does it say what will happen, in the user’s words and not in internal jargon?
Does it begin with a verb when it is a button or a link?
Does an error message explain, avoid blame and offer a next step?
Is the term the same as everywhere else in the product?
Will it fit the smallest screen and a longer translation?
Can a screen reader user understand it out of context?
Would you be comfortable seeing it at a stressful moment, such as a failed payment?

Run the checklist on assistant output as you would on a colleague’s draft. It takes a minute per screen and catches most of the problems that users complain about later.

Test the words, not only the design

Good microcopy is tested like any other part of the product. Show two versions of a button or an error message to a few people and ask what they expect to happen. Run an A/B test where traffic allows, and look at completion rates, error recovery and support tickets, not at opinions. Ask the assistant to propose hypotheses and variants, then let the data decide.

A quick low-cost method is the five-second read: show a screen for five seconds, hide it and ask what the person remembers and what they would click. If the answer does not match your intent, change the words. Also read every string aloud. If it sounds odd spoken, it will probably feel odd read.

How Ask Mio helps with microcopy

Ask Mio has five modes. Write is the natural home for microcopy and is included on the free plan along with Chat, so you can draft variants, rewrite error messages and check tone without a paid plan. Mio picks the model for each request. You can paste a table of strings, ask for a revised column and a character count, and request the same text in another language, since the site and the assistant work in 25 languages. Check every translation with a native speaker before shipping.

Paid plans add file uploads, so you can upload a spreadsheet or a document of existing strings and review them in bulk, and memory for standing preferences. Chats and files stay yours, can be exported or deleted and are not used to train models. For longer product pages, see our guide to AI landing page copy.

Frequently Asked Questions

What is UX microcopy?

It is the short text inside a product that helps people act: button labels, form hints, error messages, empty states, tooltips and confirmations. It is small in size and large in effect, because it tells users what will happen, prevents mistakes and helps them recover when something goes wrong.

Can AI write good error messages?

Yes, if you provide the real cause and the context. Paste the raw message, say what the user was doing and ask for a version that explains what happened, why and what to do next, in your brand voice. Review the facts, because the assistant cannot know the true technical cause.

How do I keep microcopy consistent across a product?

Create a glossary of key terms and a short voice guide with examples, and give them to the assistant at the start of each session or store them in a project. Review new text against the glossary and update the list when you decide on a new term.

Is AI microcopy safe to translate automatically?

It is a good first draft, but check it. Use full sentences with placeholders, supply context for each string, allow for longer text and have a native speaker review anything customer-facing, especially error messages, payment steps and legal wording. Short strings without context are the most error-prone.

Which Ask Mio plan do I need for microcopy?

The free plan includes Chat and Write, which cover drafting and rewriting microcopy. Paid plans add file uploads for bulk review of string files, memory and Research. Check the live pricing page for current points, file sizes and seats before choosing.

The Bottom Line

AI UX microcopy gives product teams fast drafts of the words that guide users, but quality comes from your brief, your glossary and your testing. Give each request the screen, the user and the consequence, write errors that explain and help, plan for translation and accessibility, and test with real people. You can start on the free plan and compare options on the Ask Mio pricing page.

AI UX Microcopy: Button Labels, Errors and Empty States