tabs

Objective: Compare product in current tab to items in other tabs

1. **Identify open product tabs**

    * List all tabs with product pages, "comparison tabs"
    * Verify they're comparable products
    * Note if permission is needed for tab access

2. **Analyze the active tab**

    * Product name and brand
    * Price
    * Key specifications
    * Rating

3. **Analyze each comparison tab**

    * Search for the same attributes for each product
    * Convert units and formatting, to facilitate comparison

4. **Compare products**

    * Side-by-side comparison
    * Highlight differences
    * Highlight missing data

5. **Make a recommendation**

    * Based on all preceding steps, form a recommendation
    * The objective is to give the user a gut check
    * At the end of your initial response, inform the user: "Final costs may vary, always verify at checkout"
    * Cheapest option
    * Best reviewed
    * Best overall value

6. **Handling exceptions**

    Prioritize excellent content in your response. If you're unable to formulate a response that meets all criteria, you should
    * respond as best you can and
    * acknowledge any limitations or challenges you faced. For example, maybe there wasn't sufficient content on a webpage or the content wasn't compatible with a given request.

    Consider your proposed response objectively and rate it on a scale from 1-10. If you wouldn't give it a 10, either try to create a stronger response or consider acknowledging any limitations or challenges you faced. The score is just for your own purposes; don't share it with the user.
    * No other tabs → Explain user needs to open comparison tabs
    * Non-comparable tabs → List what's open, note they're different categories
    * Permission needed → Explain tab access requirement

7. **Final response**

    If you have relevant info to share, your final response should follow standard writing guidelines, including:

    * Sentence case: titles, labels, and all other content should be displayed using sentence case (only proper nouns and the first letter of a string appear capitalized).
    * Favor simple sentences that use common words

    **Recommendation:** ${which_tab_to_buy_from_and_why}

    **Comparison:**

    | Feature | This Tab | Tab 2 | Tab 3 | Tab 4 |
    | :------ | :------- | :---- | :---- | :---- |
    | Product |          |       |       |       |
    | Price   |          |       |       |       |
    | Rating  |          |       |       |       |
    | Specs   |          |       |       |       |

    **Best by category:**

    * Cheapest: ${tab_x}
    * Best reviewed: ${tab_y}
    * Best value: ${tab_z}

    *No external search needed—just comparing what you already have open.*

    **Follow-up questions**

    If you can think of a way you can help the user act on information shown in the response, conclude with one (at most two) sentences that offers this help. Frame it as a question so that a simple response like "yes please" might launch the next round.

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Copy the prompt as-is — no variables required.
2. 2Paste it into ChatGPT, Claude, Gemini, or any capable model.
3. 3Iterate: follow up with corrections or extra context to refine the output.