ChatGPT’s Branching Chats Feature: One Prompt, Many Possibilities

ChatGPT’s branching chats feature lets you explore multiple ideas without losing your original thread! This is perfect for writers, learners, and brainstormers who might smash up many different topics into one chat window as they work.

Do you ever find you are having multiple conversations in one chat with AI and wish take a part of that chat and create a new just with just that part. Sort of like you could explore “what if” without starting over? Today ChatGPT’s released is new branching chats feature which does exactly that. It lets you 'fork' a conversation at any point, testing out new ideas or directions while keeping the original thread intact. You can find this feature by clicking on the '...' three dots at the end of the chat and selecting 'Branch in New Chat'

How can you use it:

• Try different tones, answers, or questions side by side
• Keep your main idea while experimenting freely in another branched chat
• Perfect for writing, brainstorming, or learning new concepts

Branching turns every chat into a flexible workspace. Start once and explore endlessly.

ChatGPT Agent vs. ChatGPT Connector: Who Wins the Outlook Email Search Showdown?

I ran a real-world test to see which ChatGPT tool could deliver better insights from my Outlook account a deep research connector or the new agent feature. The task? Find every conversation related to AI or training from the past six months. Capture each contact’s name, title, last message date, and a summary. **First up: ChatGPT Connector using Deep Research** This approach tried to use an API-like method to extract content from your inbox. It failed. Why? Deep Research, while powerful for web research, isn’t optimized for structured email search. It likely ran into permission issues, API throttling, or simply lacked the depth to interact with your mailbox accurately. **Next: ChatGPT Agent using an Embedded Browser** This version mimicked how a human would search. You logged into Outlook inside a secure browser session within ChatGPT. The agent scrolled, searched, and analyzed content in real time—just like a human assistant. And it worked beautifully. **The Results** The agent gave me a clean list of contacts with last interaction dates and summaries. Essentially, it built a mini-CRM out of my mailbox in minutes. **The Verdict** Deep Research fell short due to system limitations and design intent. The agent triumphed thanks to direct, browser-based access. The human-like approach wins when APIs can’t keep up.