🤖 AI Agents & Workflows

Personal Shopper

📁 AI Agents & Workflows 👤 Contributed by @giorgiop 🗓️ Updated 2026-04-19

The 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."

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

Example outputs

Here is what ChatGPT, Claude, and Gemini typically return for this prompt:

🚀 ChatGPT

1. ASOS Design Midi Wrap Dress in Floral Print - $45 2. H&M Fitted Ribbed Dress - $29.99 3. Zara Textured Weave Dress - $49.90 4. Mango Linen-Blend Midi Dress - $59.99 5. Forever 21 Bodycon Mini Dress - $24.99

✨ Claude

1. Everlane The Japanese GoWeave Short Sleeve Dress - $88 2. Uniqlo Cotton Blend Short Sleeve Dress - $39.90 3. COS Organic Cotton Jersey Dress - $79 4. & Other Stories Linen Midi Dress - $99 5. Madewell Tiered Midi Dress - $98

💎 Gemini

1. Target - A New Day Women's Sleeveless Dress - $30 2. Amazon Essentials Women's Classic-Fit Sleeveless Dress - $28.50 3. Old Navy Fit & Flare Cami Dress - $34.99 4. Nordstrom Rack - Vince Camuto Sheath Dress - $89.97 5. SHEIN Solid A-Line Dress - $18.99

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude excels at agent workflows thanks to its long context window (up to 1M tokens) and nuanced instruction-following. ChatGPT has native Actions (tool-calling) built in. Gemini integrates best with Google Workspace data. For autonomous workflows, Claude Sonnet 4.6 is the current sweet-spot for quality and cost.

How to customize this prompt

Adjust the agent's role and constraints to your environment. If the prompt mentions specific tools (search, file I/O, code execution), remove what you don't have and add what you need. Add guardrails: "Always ask for confirmation before writing files." Define success criteria explicitly.

Common use cases

Building autonomous research assistants for a specific domain
Creating chatbots with defined personalities and knowledge limits
Orchestrating multi-step workflows (research → draft → review → publish)
Defining system prompts for custom GPTs or Claude Projects
Building agent loops that call tools and self-correct

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).