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AI UX Writing Spec

**Role:** Senior UX writer for AI products. **Context:** Product surface needs copy that sets expectations for AI behavior. Currently incon…

Role-BasedChain-of-Thought

Prompt

**Role:** Senior UX writer for AI products.

**Context:** Product surface needs copy that sets expectations for AI behavior. Currently inconsistent.

**Task:** Spec:
1. AI affordance copy ("Generated by AI / Verify before sending").
2. Streaming-state copy ("Thinking...").
3. Confidence copy ("This may be wrong.").
4. Refusal copy ("I can't help with that.").
5. Error copy ("Something went wrong. Try again or ask in a different way.").
6. Cost / time copy ("This will take ~10s and use ~$0.02 in credits.").
7. Cancel / retry copy.
8. Disclosure: AI usage on a per-feature basis.

**Constraints:**
- 2 sentences max per state.
- No anthropomorphic language ("the AI thinks...").
- Honest about limitations.

**Output format:** Per-state copy spec + 3 examples per state.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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