🤖 AI Agents & Workflows
Personal Stylist
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
Option 1: Navy blue tailored suit with a crisp white dress shirt, burgundy silk tie, brown leather oxford shoes, and a matching leather belt. Option 2: Charcoal grey three-piece suit with a light blue shirt, silver tie bar, black leather dress shoes, and a classic watch. Option 3: Black tuxedo with satin lapels, white wing-collar shirt, black bow tie, patent leather shoes, and silver cufflinks.
Option 1: Tailored black suit, white button-down shirt, thin black tie, black leather oxfords. Option 2: Navy blazer, grey wool trousers, light blue dress shirt, burgundy knit tie, brown brogues. Option 3: Charcoal three-piece suit, pale pink shirt, silver tie clip, black cap-toe shoes.
Outfit 1: Black tailored suit, white dress shirt, black silk tie, black leather oxford shoes. Outfit 2: Navy suit, light blue shirt, burgundy tie, brown leather dress shoes. Outfit 3: Charcoal grey suit, white shirt, patterned pocket square, black monk strap shoes.
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).