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AI chat with branching

AI chat with branching for parallel thinking.

Fork a thread to test another approach, tone, or solution path—keep the original intact while you explore, then keep the branch that wins. Full workspace access requires a Pro or Lifetime plan.

Pro from $14.99/month · Lifetime $149.99 one-time

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  • 1Fork without loss
  • 2Compare paths
  • 3Multi-model after branch
Workspace preview
Help me structure this task and call out risks.
Claude 5 Sonnet

Here is a practical structure:

  1. 01Clear next steps
  2. 02Risks called out
  3. 03Branch for an alternate approach

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Why branching

Linear chat forces false certainty.

Real work needs alternatives. Branching makes that explicit.

  1. 01

    Overwritten ideas

    Editing the main thread erases a good first take.

  2. 02

    New chats lose context

    Starting over throws away setup.

  3. 03

    Hard to compare

    Two answers in two windows never sit side by side cleanly.

Branching workspace

Explore without thrash.

Branching plus multi-model depth.

Conversation branching

Fork threads to explore alternatives.

Original stays.

Different model per branch

Try Claude on one path and GPT on another.

Fair compare.

Shared attachments

Keep sources available as you fork.

Grounded forks.

Deep branch

Raise reasoning only on the hard path.

Save effort.

Ultra on a branch

Multi-agent critique of one candidate answer.

On Pro.

Math method branches

Substitution vs parts without losing either.

STEM.

Branch loop

Baseline, fork, choose.

A clean decision habit.

  1. 01

    Create a solid baseline

    Get a first answer you might keep.

  2. 02

    Branch a rival approach

    Change method, tone, or model.

  3. 03

    Pick and continue

    Carry the winner forward.

Branching scenarios

When parallel paths matter.

Writing

Formal vs direct tone for the same memo.

Branch → Second model

Outcome

Chosen voice.

Coding

Two fix strategies for one bug.

Branch → Reasoning

Outcome

Compared patches.

Study

Easier and harder practice sets.

Branch → Strict Math

Outcome

Adaptive practice.

FAQ

Branching questions

Is branching the same as a new chat?

No. Branching forks from existing context so you do not rebuild the setup.

Can I branch after switching models?

Yes. Branching works inside the multi-model workspace workflow.

Does every plan include branching?

Branching is a workspace feature on paid plans used for messaging.

How much does milkyway.chat cost?

Pro is $14.99 per month and includes all premium models plus voice chat. Lifetime is $149.99 as a one-time payment and lets you bring your own API keys. Visit the pricing page for current plan details.

Can I try the workspace before subscribing?

Yes. You can explore the interactive math visualization example without a subscription. After signing in, you can browse the workspace interface, but sending messages requires an active Pro or Lifetime plan.

Ready to get started

Explore alternatives without losing the original thread.

Pick Pro or Lifetime on the pricing page, then start with the model and tools your task needs.