August 30, 2026AIExplore

How to Use Figma AI to Rewrite Translate and Shorten Text

Select text layers in Figma, then rewrite tone, translate for localization previews, or shorten copy to fit tight UI constraints.

Figma AI

Figma AI can rewrite tone, translate UX copy for localization previews, and shorten text to fit tight UI. Official Rewrite, translate, and shorten help: select a text layer, open Actions, choose Rewrite this, Translate to, or Shorten. The same family of tools appears in FigJam, Figma Slides, and Figma Sites. Always review regulated copy yourself. Overview: /explore/figma-ai.

This guide covers selection discipline, tone prompts, translation previews, and shorten constraints. For bulk unique content see /blog/how-to-use-figma-ai-to-replace-placeholder-content.

When text tools are the right job

Use rewrite when tone is wrong but structure is fine. Use translate to preview layout risk in another language. Use shorten when overflow is the problem. Use Replace content when many cards still show identical placeholders.

Step by step workflow

1. Select only the target layers

Avoid page wide selections that touch legal footnotes or approved headlines.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Selection Layers: hero headline only Locks: product name verbatim Goal: colder enterprise tone. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Selection Layers: hero headline only Locks: product name verbatim Goal: colder enterprise tone" that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Inputs:
Use the actual source material required for this task, together with the intended audience, destination, format, and quality requirements. Specify relevant files, text, URLs, structured data, reference assets, dimensions, language, tone, timing, model or generation settings, credentials, field mappings, or integration values when they apply. Keep secrets out of the example and use the product's supported credential or configuration mechanism.

Workflow:
1. Start with one representative input that contains the important characteristics of the real workload.
2. Configure figma-ai specifically for the requested task and make the important settings explicit.
3. Run the first pass and inspect the result against the objective.
4. Correct only the settings or source material responsible for a failed requirement instead of changing everything at once.
5. Validate the intermediate result before passing it to the next step.
6. When the result meets the requirements, save the successful configuration so the same process can be repeated consistently.
7. If this is a multi-step workflow, verify each handoff and keep a clear fallback or review path for failures.

Requirements:
The example must use supported functionality only. Do not invent product features, pricing, limits, integrations, model names, API behavior, or unavailable settings. Preserve important source data and formatting. Validate required fields before processing, handle empty or invalid input explicitly, prevent accidental duplicate processing where relevant, and stop or route the item for review when a required step fails. For credentials, use the supported secure configuration rather than placing secrets directly in the content.

Expected output:
The final result should directly satisfy the "Selection Layers: hero headline only Locks: product name verbatim Goal: colder enterprise tone" requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

2. Choose Rewrite, Translate, or Shorten

Rewrite accepts a tone prompt. Translate asks for a language. Shorten needs an implied or stated space constraint.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Action Tool: Rewrite this Prompt: colder enterprise tone under 40 characters Keep: product name. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Action Tool: Rewrite this Prompt: colder enterprise tone under 40 characters Keep: product name" that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Action Tool: Rewrite this Prompt: colder enterprise tone under 40 characters Keep: product name" requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

3. Review layout and meaning

Check overflow, truncation, and meaning. Translation previews are not a substitute for localization review.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: QA [ ] No overflow [ ] Meaning preserved [ ] Regulated phrases untouched [ ] Tone matches audience. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "QA [ ] No overflow [ ] Meaning preserved [ ] Regulated phrases untouched [ ] Tone matches audience" that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "QA [ ] No overflow [ ] Meaning preserved [ ] Regulated phrases untouched [ ] Tone matches audience" requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Practical text prompts

Rewrite enterprise

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Rewrite for a colder enterprise tone under 40 characters. Keep product name. Audience: security admins.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Rewrite for a colder enterprise tone under 40 characters. Keep product name. Audience: security admins." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Rewrite for a colder enterprise tone under 40 characters. Keep product name. Audience: security admins." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Rewrite friendly

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Rewrite this empty state for a warmer self serve tone. Keep the Create project button label unchanged.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Rewrite this empty state for a warmer self serve tone. Keep the Create project button label unchanged." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Rewrite this empty state for a warmer self serve tone. Keep the Create project button label unchanged." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Rewrite error

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Rewrite this error message to be direct and calm. No blame. Suggest one next step.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Rewrite this error message to be direct and calm. No blame. Suggest one next step." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Rewrite this error message to be direct and calm. No blame. Suggest one next step." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Rewrite CTA

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Rewrite CTA to emphasize saving progress. Max 18 characters. No exclamation marks.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Rewrite CTA to emphasize saving progress. Max 18 characters. No exclamation marks." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Rewrite CTA to emphasize saving progress. Max 18 characters. No exclamation marks." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Shorten button

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Shorten to fit a 24px height button. Keep the word Export. No punctuation.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Shorten to fit a 24px height button. Keep the word Export. No punctuation." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Shorten to fit a 24px height button. Keep the word Export. No punctuation." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Shorten paragraph

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Shorten this helper text to two lines at 320 width. Keep the meaning of password rules.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Shorten this helper text to two lines at 320 width. Keep the meaning of password rules." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Shorten this helper text to two lines at 320 width. Keep the meaning of password rules." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Shorten nav

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Shorten nav label to one word if possible. Prefer Settings over Account settings.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Shorten nav label to one word if possible. Prefer Settings over Account settings." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Shorten nav label to one word if possible. Prefer Settings over Account settings." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Translate FR CA

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Translate to French Canadian. Formal product tone. Keep brand name untranslated.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Translate to French Canadian. Formal product tone. Keep brand name untranslated." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Translate to French Canadian. Formal product tone. Keep brand name untranslated." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Translate ES

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Translate to Spanish. Neutral UX tone. Flag likely overflow on this 120 width chip.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Translate to Spanish. Neutral UX tone. Flag likely overflow on this 120 width chip." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Translate to Spanish. Neutral UX tone. Flag likely overflow on this 120 width chip." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Translate DE

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Translate to German. Formal. Expect longer strings. Do not shrink type.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Translate to German. Formal. Expect longer strings. Do not shrink type." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Translate to German. Formal. Expect longer strings. Do not shrink type." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

More copyable examples

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Rewrite from scratch Rewrite this: generate a headline for a billing portal upgrade banner. Benefit: fewer failed payments. Under 48 characters.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Rewrite from scratch Rewrite this: generate a headline for a billing portal upgrade banner. Benefit: fewer failed payments. Under 48 characters." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Rewrite from scratch Rewrite this: generate a headline for a billing portal upgrade banner. Benefit: fewer failed payments. Under 48 characters." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Tone for teens Rewrite for a teen tutoring app. Friendly, not childish. No slang that dates quickly.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Tone for teens Rewrite for a teen tutoring app. Friendly, not childish. No slang that dates quickly." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Tone for teens Rewrite for a teen tutoring app. Friendly, not childish. No slang that dates quickly." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Tone for finance Rewrite for a banking app. Trustworthy and plain. No hype words.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Tone for finance Rewrite for a banking app. Trustworthy and plain. No hype words." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Tone for finance Rewrite for a banking app. Trustworthy and plain. No hype words." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Shorten tooltip Shorten tooltip to one sentence under 80 characters. Keep the keyboard shortcut.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Shorten tooltip Shorten tooltip to one sentence under 80 characters. Keep the keyboard shortcut." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Shorten tooltip Shorten tooltip to one sentence under 80 characters. Keep the keyboard shortcut." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Preserve legal Rewrite surrounding sentence for clarity. Do not change the quoted legal phrase.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Preserve legal Rewrite surrounding sentence for clarity. Do not change the quoted legal phrase." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Preserve legal Rewrite surrounding sentence for clarity. Do not change the quoted legal phrase." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Plural aware Shorten status text. Keep correct pluralization for 1 and many items.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Plural aware Shorten status text. Keep correct pluralization for 1 and many items." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Plural aware Shorten status text. Keep correct pluralization for 1 and many items." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Accessibility plain Rewrite in plain language for accessibility. Avoid idioms. Keep technical product term API.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Accessibility plain Rewrite in plain language for accessibility. Avoid idioms. Keep technical product term API." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Accessibility plain Rewrite in plain language for accessibility. Avoid idioms. Keep technical product term API." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Scenario:
A realistic figma-ai workflow is being prepared for Use Figma AI for First Draft Explorations using figma-ai. The starting requirement is: Pair with agent After shortening, ask the agent to list any still overflowing text layers on this frame.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Pair with agent After shortening, ask the agent to list any still overflowing text layers on this frame." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Pair with agent After shortening, ask the agent to list any still overflowing text layers on this frame." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Tips

Select the smallest text set
Name tone and audience for Rewrite
State space limits for Shorten
Treat Translate as a layout preview
Lock regulated phrases
Follow with Replace content for repeating cards

Verification notes

Text tool steps come from Rewrite, translate, and shorten text with AI help. Confirm product surfaces available on your plan. When plan access, seat rules, or credit behavior differ from memory, open help.figma.com and your AI balance. Limits change, so do not promise client timelines from outdated screenshots.

Keep a short session log beside the file: tool used, selection, prompt, and the one change you will try next. That habit turns four variants or parallel agent threads into learning instead of noise.

When Actions are missing, check whether an admin disabled Figma AI for the workspace before rewriting prompts. Access problems look like prompt problems until you confirm settings.

Treat the first AI pass as a sketch. Compare against your spacing grid, type styles, and accessibility targets before inviting stakeholders.

If you collaborate, store winning prompts on a shared page next to the library link. Reuse the skeleton and change only product nouns or channel constraints.

Separate exploration files from production libraries. Explore freely in drafts, then rebuild keepers with real components before handoff.

Close each session by naming frames clearly and discarding dead ends. A clean page saves time when someone asks for the pricing riff from Tuesday.

Prefer concrete product language over vague vibes alone. Screen type, primary action, and one constraint outperform a pile of adjectives.

Confirm AI credit balance and reset date before large image or agent batches. Shared credits power many Figma AI surfaces.

Select only the layers that should change. Page wide selections rewrite approved legal lines by accident.

Translation is a layout preview aid. Native speaker review still belongs in the localization process.

State character or height constraints when shortening. Without them, Shorten may still leave overflow.

Tone prompts work better with audience nouns. Security admin and teen tutor student produce different successful rewrites than professional alone.

Shorten is a layout tool as much as a writing tool. Measure the control height or max lines before you run it.

Translation previews catch overflow early. They do not certify grammar, cultural fit, or legal wording for a ship candidate.

Keep a denylist of phrases AI must not touch: plan names, prices, medical claims, and trademarked slogans.

When repeating cards need unique copy, finish Replace content first, then rewrite tone on the outliers. Order matters.

If a rewrite invents a feature, delete it. Figma AI does not know your roadmap and should not invent product capabilities in UI strings.

Review plurals and variables after shortening. Compact English can break one versus many patterns that engineering expects.

Use the agent for overflow audits across a frame after you finish individual text actions. Selection tools fix strings. Agent review finds stragglers.

Store approved microcopy in your library and only rewrite exploratory strings. AI should not churn final legal lines for sport.

For bilingual reviews, duplicate the frame before Translate so English and localized layouts stay comparable.

Shorten after visual resize, not before. Designers who shorten first often reintroduce overflow when type size changes later.

If Rewrite invents urgency language your brand forbids, add that forbid list to the next prompt explicitly.

Build a microcopy checklist beside Actions: tone, max length, locked phrases, and audience. Run that checklist before every Rewrite click.

Translate early in UX reviews when language expansion is a known risk for your markets. German and French often reveal width debt English hid.

Shorten tool output can remove politeness your brand requires. Compare against voice guidelines, not only against the pixel box.

When multiple text layers share a component, edit the main component intentionally. Instance only rewrites can create drift across the file.

Keep screenshots of before and after copy for content design critiques. Text changes are easier to discuss with visual diffs.

If AI suggests a synonym that breaks a glossary term, restore the glossary word immediately and add it to the keep list next time.

Content designers should own the final pass on customer facing strings even when AI drafts the first version. Craft and risk sit with humans.

For design system documentation pages, prefer manual editing. AI rewrite tools are for product UI exploration more than for library docs.

End text sessions by scanning the frame at the smallest supported breakpoint. Overflow hides on comfortable desktop widths and appears on mobile previews.

Common mistakes

Rewriting legal copy without review
Translating and shipping without localization QA
Shortening without a size constraint
Selecting whole pages by accident
Letting AI invent pricing or medical claims
Skipping overflow checks after translation

Related Figma AI articles: /blog/how-to-use-figma-ai-to-replace-placeholder-content, /blog/how-to-use-figma-agent-for-conversational-design, and /blog/how-to-use-figma-ai-for-first-draft-explorations. Return to /explore/figma-ai for the broader guide set.