🤖 AI Agents & Workflows
What Does ChatGpt Knows about you?
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
I don't have any stored memories about you in this conversation yet. ChatGPT Plus users with memory enabled would see previous conversation details here, but as we've just started talking, there's nothing to display. If you'd like me to remember specific preferences or information for future conversations, just let me know!
I don't maintain a memory system that stores information between conversations. Each conversation with me starts fresh, and I don't have access to previous interactions or stored user data. If you're looking for what I know about you in this specific conversation, it would only be what you've shared in our current exchange.
I don't have a persistent memory feature that stores information about you across conversations. Each session starts fresh without retained data from previous interactions. If you're using a Google account, some preferences might be saved in your account settings, but I don't have access to view those verbatim.
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).