Feature Request: Structured Intent Interface for Advanced AI Workflows

I would like to submit a product feature proposal to OpenAI. I expressly state that OpenAI may use this proposal freely, without requiring prior notice, further permission, or compensation to me.

Feature Request: Structured Intent Interface for Advanced AI Workflows

The next bottleneck in AI productivity may not be model intelligence alone, but the interface through which human intent is structured.

Current chat interfaces usually force users to place everything into a single text field: main content, instructions, constraints, context, side notes, follow-up questions, output format, confidentiality level, and task-specific guidance. This creates an “unstructured intent bottleneck.” The model must spend part of its reasoning capacity reconstructing the structure of the task before it can work on the task itself.

I propose an optional advanced interface mode inside ChatGPT: a Structured Intent Interface or Multi-Channel Input Mode.

Instead of one input box only, the user could optionally separate input into semantic channels such as:

  1. Main content
  2. Processing instructions
  3. Constraints
  4. Background context
  5. Side notes
  6. Follow-up track
  7. Critical review mode
  8. Output format
  9. Assumptions to test
  10. Confidentiality or sensitivity level
  11. Fixed project-specific user instructions
  12. “Do not modify” elements

This should remain optional, so ordinary users can keep the simple chat interface. Advanced users could activate the structured interface when handling complex work.

This may improve instruction-following accuracy, task understanding, context management, error attribution, long-form project continuity, and evaluation quality. It may also help OpenAI evaluate model performance more precisely by distinguishing whether an error came from misunderstanding the content, ignoring constraints, mishandling side notes, or failing to follow output-format instructions.

This interface would be especially valuable for inventors, founders, researchers, patent strategists, analysts, engineers, legal and technical reviewers, and deep-tech entrepreneurs.

This is not merely a UI improvement. It could create a new interaction model between humans and AI: a thinking-operations interface, not just a chat interface.

Optional future extension: an IP-safe workspace for inventors, with no training on pre-filing invention data by default, project-level confidentiality settings, audit logs, patent-family organization, technical sanity checking, and optional post-filing or post-publication consent for abstracted learning.

Summary: the proposal is not simply to add more input boxes. The proposal is to let users structure intent before the model processes it. Structured input can make AI more useful, more accurate, and more trustworthy for complex work.

Additional clarification: the core issue is cumulative, not limited to the first prompt.

In long conversations, every reply, correction, follow-up question, side note, and temporary branch can modify or interfere with the user’s original intent. As the conversation grows, the model must repeatedly infer what still applies, what is temporary, what belongs to the main task, and what should be ignored or preserved.

This makes the human-AI communication bottleneck more complex over time, especially in advanced workflows. A structured intent interface could reduce this compounding ambiguity by separating persistent instructions, task-specific instructions, side tracks, corrections, and main content throughout the conversation.

Thank you for taking the time to share this feature request. We appreciate and value your feedback. While we can’t promise implementation or provide a timeline, we’re grateful you shared it with us. We’re closing this topic while keeping it visible for reference.