Feature request: Inline anchored annotations and contextual threads for ChatGPT responses
I am submitting this as a product and UX feature request, not as a support question and not as a request for a workaround.
Summary
Long ChatGPT responses should be reviewable as interactive conversational documents, not only as static messages.
After a response has been generated, the user should be able to select or mark any specific part of it—such as a sentence, paragraph, table cell, code line, chart, formula, or image region—and create an interaction anchored to that exact location.
The interaction could include:
- a text question or comment;
- a small contextual discussion thread;
- an attached file, image, or supporting document;
- highlighting, underlining, circling, handwriting, or drawing;
- a short voice conversation about the selected passage;
- a request to revise only the selected part.
The problem
When reading a long or complex ChatGPT answer, users often identify questions and corrections before reaching the end.
Today, the user must usually do one of the following:
1. Stop reading and send a new global message.
2. Quote or manually describe the passage being discussed.
3. Remember multiple comments until the entire answer has been read.
4. Write one long follow-up message containing many unrelated references.
This breaks the reading flow and creates unnecessary ambiguity. The model may also misunderstand which statement, number, table cell, or argument the user is referring to.
The problem is especially significant on mobile devices, where writing a long structured follow-up is much less convenient than highlighting, circling, speaking, or attaching something directly to the relevant passage.
This proposal is not the same as interrupting or redirecting the model while it is generating a response. It is also not merely quoting selected text into a new message or moving the content into a separate editor.
The need arises after generation, while the user is carefully reading and reviewing an existing ChatGPT response.
Proposed user experience
The user selects text or long-presses a paragraph, table cell, code line, chart, or image region.
A contextual menu appears:
Ask · Comment · Voice · Attach · Highlight/Draw · Request revision
Selecting an action opens a compact local thread anchored to that exact part of the response.
The user can discuss the selected point, resolve it, and then return to the exact same reading position without losing the main flow of the answer.
Each annotation should have an explicit intent:
- Discuss or explain only — the original response remains unchanged.
- Apply as a revision — the annotation becomes a requested change to the response.
This distinction is important. A question or disagreement should not automatically be treated as an instruction to rewrite the answer.
After finishing the review, the user could open an annotation overview and:
- see resolved and unresolved comments;
- filter questions, attachments, voice discussions, and revision requests;
- approve or reject proposed changes;
- generate a revised version incorporating approved annotations;
- compare the original and revised versions.
Example workflow
A user is reading a 3,000-word research or strategic analysis.
In the third paragraph, the user highlights one claim and asks:
«What evidence supports this assumption?»
Later, the user circles two numbers in a table and attaches a PDF containing different data.
In another section, the user starts a short voice conversation:
«I think this paragraph combines technical feasibility with economic adoption. Let us separate those two questions.»
The voice discussion is saved as a short transcript or conclusion attached to that paragraph. The user marks the issue as resolved and continues reading from the same position.
At the end, the user selects:
«Create a revised answer from all approved annotations.»
This avoids the need to compose one large follow-up message reconstructing every reference from memory.
Practical MVP
The feature could be introduced incrementally.
A useful first version would only need:
1. Text selection inside an assistant response.
2. A contextual thread anchored to the selected passage.
3. Preservation of the user’s scroll and reading position.
4. Resolved and unresolved annotation states.
5. The choice between “discuss only” and “request revision.”
6. A final action to regenerate the response using approved annotations.
Later versions could add:
- annotations on tables, code, charts, and image regions;
- file attachments linked to individual passages;
- finger and stylus markup;
- voice discussions attached to selected content;
- version comparison and collaborative review.
Why this would be valuable
This would be useful across many professional and educational workflows, including:
- research and literature review;
- strategy and business analysis;
- legal and financial document review;
- healthcare and scientific analysis;
- coding and technical documentation;
- education and tutoring;
- collaborative editing and decision-making.
The main benefit is not only convenience. It would improve the quality of interaction by preserving the exact context of every question, correction, and supporting document.
It would reduce cognitive load, avoid repeated quoting, make follow-up questions less ambiguous, and make long ChatGPT outputs substantially more useful—especially on mobile devices.
Important UX considerations
Annotations should remain attached to stable passages or regions. If a revised version removes or substantially changes the original passage, ChatGPT should warn the user that the annotation may need to be re-anchored.
Annotations should normally remain collapsed or appear as small markers in the margin so that a heavily reviewed response does not become visually cluttered.
Voice discussions should produce a short saved conclusion, so the user does not need to replay the entire conversation later.
Success criterion
A user should be able to read a long ChatGPT answer from beginning to end, capture every question or correction exactly where it arises, discuss individual points without leaving the document, and then create a clean revised version—without having to write a separate, lengthy follow-up message.
This would move ChatGPT beyond a linear sequence of messages and toward a genuine workspace for deep reading, review, and collaborative reasoning.
I believe this could be a high-impact cross-platform feature for web, mobile, and desktop, and I hope the ChatGPT product and design teams will consider it.