When I use ChatGPT for serious learning or problem solving, I repeatedly run into the same problem:
My thinking is not linear, but the conversation is.
Imagine I ask ChatGPT a question and receive an important answer.
Before I am ready to move to the next step, I may need to ask three or four clarification questions about that answer.
Those clarification questions are not really the next steps of the conversation. They are deeper explorations of the same step.
But in a traditional chat, everything is placed into one timeline:
Main question → answer → clarification → answer → clarification → answer → next question → …
After enough exchanges, the original reasoning path becomes difficult to see, revisit and continue.
That is the problem I would like Tree Mode to solve.
The idea
Instead of treating a conversation as one continuous line, Tree Mode would give it a structure similar to a tree:
Root → the original problem, objective or topic
Trunk → the main conversation / reasoning path
Branches → clarification questions attached to a specific point
Sub-branches → deeper questions inside those clarifications
The key principle is:
Going deeper should not automatically mean moving forward.
For every message, the user should be able to decide:
Ask here
This creates a clarification branch attached to the current answer.
or
Continue main path
This advances the central conversation to the next step.
A simple example
Suppose I am learning pointers in C.
The main path could be:
What is a pointer?
↓
ChatGPT explanation
↓
How are pointers used in ft_swap?
↓
ChatGPT explanation
↓
Next exercise
But the first explanation may generate several questions:
↳ Why store an address instead of a value?
↳ What exactly does * do?
↳ What happens in memory?
↳ What is the difference between &x and x?
Each of these questions should open a local branch from that answer.
I could explore one of those branches for 10 messages if necessary.
That discussion would remain attached to the point I am trying to understand.
When I am satisfied, I close the branch and return exactly to the main path.
The trunk never gets buried.
The part I think is especially important
A branch should itself be able to create another branch.
For example:
Main answer
↳ Clarification A
↳ Follow-up A.1
↳ Deeper question A.1.1
↳ Clarification B
↳ Clarification C
But none of those conversations advances the main trunk unless the user explicitly chooses:
Continue main path →
So the structure of the conversation reflects the structure of the user’s reasoning.
Possible workspace
I imagine Tree Mode as an optional workspace rather than simply another prompt behavior.
The main conversation remains visible in the center.
When the user selects any question or answer on the main path, a side panel shows all branches created from that point.
For example:
Selected answer
Branches:
- Why does this work?
- What happens in memory?
- Can you give another example?
- My failed attempt
- Explain only my mistake
Clicking any branch opens that local discussion.
Closing it returns the user to the same position on the trunk.
The user therefore always knows:
Where am I?
What am I currently exploring?
What is the main objective?
Where do I return when I finish?
Why I started thinking about this
The idea came from my experience during the Piscine at 42 Paris.
When learning a new programming concept, I may first need to understand the concept itself, then work on an exercise, then test my own solution.
During one exercise I might want ChatGPT to:
- help me understand the problem;
- let me attempt a solution;
- point out only my mistakes without giving the answer;
- let me try again;
- give me a hint if necessary;
- finally show its own solution;
- compare both approaches.
Today all these interactions accumulate in one long chat.
With Tree Mode, the exercise remains the main node, while attempts, hints, errors and conceptual questions can grow around it without destroying the learning path.
This is not only a learning feature
Although learning inspired the idea, I believe the same interaction model could help with:
Coding — investigate bugs without derailing the implementation.
Research — explore evidence or definitions while preserving the main argument.
Problem solving — investigate individual assumptions without losing the overall solution.
Planning — explore one decision deeply and then return to the larger plan.
Brainstorming — follow several ideas while keeping the original objective visible.
The simplest MVP
Tree Mode would not need every possible feature from day one.
A first version could contain only:
Ask in a branch
Continue main path
Branch from any message/answer
Nested branches
Return to parent
A small tree/sidebar showing the current structure
That alone would fundamentally change how long, complex ChatGPT conversations are organized.
The concept in one sentence
Tree Mode would let users explore unlimited depth around any point in a conversation without sacrificing the clarity of the main reasoning path.
Or even more simply:
Go deeper without losing the main direction.
I created a more detailed product proposal with diagrams, UX examples, a technical architecture, an MVP approach and a real learning use case.
I would be very interested to know whether other people here experience the same problem with long ChatGPT conversations — and whether you would use a mode like this.