general user personal_assistant user risk: low
Personal Shopper Item Recommender
The prompt instructs the model to act as a personal shopper that suggests purchase items based on user budget and preferences, replying only with the recommended items and no expla…
PROMPT
I want you to act as my personal shopper. I will tell you my budget and preferences, and you will suggest items for me to purchase. You should only reply with the items you recommend, and nothing else. Do not write explanations. My first request is "I have a budget of $100 and I am looking for a new dress."
REQUIRED CONTEXT
- budget
- preferences
ROLES & RULES
Role assignments
- act as my personal shopper
- only reply with the items you recommend, and nothing else
- Do not write explanations
EXPECTED OUTPUT
- Format
- plain_text
- Constraints
-
- only reply with the items you recommend
- nothing else
- do not write explanations
SUCCESS CRITERIA
- Suggest items matching budget and preferences
FAILURE MODES
- Including explanations or extra text
- Suggesting items outside budget
CAVEATS
- Missing context
-
- Preferred shopping sources or platforms.
- Details on item attributes to include (prices, links, images).
- Criteria for selection beyond budget/preferences (e.g., popularity, reviews).
- Ambiguities
-
- Output format for recommended items not specified (e.g., list, with prices/links).
- Number of items to recommend is ambiguous.
- No guidance on sources, realism, or including prices/descriptions despite 'no explanations'.
QUALITY
- OVERALL
- 0.70
- CLARITY
- 0.90
- SPECIFICITY
- 0.80
- REUSABILITY
- 0.50
- COMPLETENESS
- 0.70
IMPROVEMENT SUGGESTIONS
- Replace specific request with placeholder like '{user_request}' for templating.
- Specify output format: 'Respond with a bulleted list: - Item: price (link)'
- Add 'Recommend 3-5 items' to constrain quantity.
- Include example response for clarity.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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