A new Chrome extension called ThreadPort is making it easier for people to move conversations between ChatGPT, Claude, and Gemini without losing context or having to manually copy and paste. Rather than just summarizing conversations from one AI tool to another, ThreadPort transfers the full transcript and instructs the receiving chatbot to pick up exactly where the previous one left off.

Why Are People Moving Conversations Between Multiple AI Chatbots?

Each major AI chatbot has distinct strengths and weaknesses that make them useful for different tasks. ChatGPT excels at fast response times and creative brainstorming but is more prone to hallucinations. Claude performs better at analyzing lengthy documents and produces more human-like writing, though it has tighter usage limits for free users. Google's Gemini leverages real-time web research and integrates well with Google Workspace, but it struggles with complex prompts and also tends to hallucinate.

Rather than settling for one tool, some researchers and power users are adopting a multi-chatbot workflow. They start with one AI model, move the conversation to another for a second opinion, and then transfer it again for a third perspective. This approach lets them combine each tool's strengths while minimizing the impact of their individual weaknesses.

How Does ThreadPort Actually Work?

ThreadPort operates as a simple Chrome extension that users can pin to their browser toolbar for easy access. When activated, it copies the entire conversation transcript from one AI platform and pastes it into another, along with a specific instruction that tells the receiving chatbot to absorb the context and continue naturally without summarizing what came before.

The extension handles conversations of any length without losing information or context. When ThreadPort transfers a chat from ChatGPT to Claude, for example, it includes a prompt that reads: "You are continuing a conversation that started on ChatGPT. Below is the transcript so far. Absorb it as context and continue the conversation naturally, do not summarize it back to me, just pick up where it left off".

The receiving chatbot then acknowledges the context and responds as if the conversation had been happening within its own interface all along. This allows users to ask follow-up questions or request new perspectives without having to re-explain their original query or previous responses.

Steps to Use ThreadPort for Multi-Chatbot Research

• Install and Pin the Extension: Add ThreadPort to your Chrome browser and click the pin icon next to your Google profile picture to make the purple ThreadPort icon visible in your toolbar for quick access.
• Start Your Research in Your Preferred Chatbot: Begin your conversation in ChatGPT, Claude, or Gemini, depending on which tool you want to use first for your specific task.
• Transfer the Full Conversation: Click the ThreadPort icon and select the destination chatbot, which will receive the complete transcript and automatically continue the conversation from where you left off.
• Request a New Perspective: Ask the second chatbot for its take on the topic or request analysis from a different angle, then repeat the transfer process to get a third opinion if needed.

What Privacy Protections Does ThreadPort Offer?

Users concerned about data privacy can rest assured that ThreadPort does not store transferred conversations on external servers. The extension developer confirmed that transferred chats remain entirely on the user's device and are never uploaded to any third-party infrastructure. This means conversations stay private while still being portable between platforms.

A Real-World Example: Gaming Industry Research

One journalist used ThreadPort to research upcoming developments in the video game industry and their impact on the next generation of home consoles. The workflow demonstrated how the tool enables comprehensive research by combining each chatbot's unique capabilities.

The researcher started by asking ChatGPT to identify the eight major developments that will shape next-generation gaming. ChatGPT provided fast responses and framed the broader context, noting that the real story isn't "PS6 versus next Xbox" but whether Sony and Microsoft can convince consumers that dedicated consoles still make sense in an era of cloud gaming and mobile platforms.

Using ThreadPort, the full ChatGPT conversation was transferred to Claude, where the researcher asked for its thoughts on positive gaming trends expected to become industry norms. Claude read through the entire previous transcript and responded by saying, "Good context to draw from. Now let me continue the conversation naturally, focusing on the genuinely positive side rather than just repeating the same industry-shift framing".

Finally, both conversations were transferred to Gemini, which used the accumulated context to answer a follow-up question about negative trends predicted for the next console cycle. Gemini acknowledged the previous points and added its own analysis: "The structural cracks in the business model point to a console cycle that could be harsher on developers and consumers alike".

Gemini

What Makes This Approach More Effective Than Single-Chatbot Research?

By combining ChatGPT's speed, Claude's document analysis capabilities, and Gemini's access to real-time web information, researchers can build a more complete and nuanced understanding of complex topics. Each chatbot contributes its particular strengths while ThreadPort ensures that context is never lost during the handoff between platforms.

This workflow is particularly valuable for research projects that require multiple perspectives, fact-checking across sources, or analysis from different angles. Rather than repeating the same prompt three times in three different chatbots, users can build on previous responses and ask each tool to contribute something new based on what came before.

ThreadPort currently supports transfers between ChatGPT, Claude, and Gemini. The extension's developer has indicated interest in expanding support to other AI platforms like Perplexity and Kimi in the future, which could further broaden the range of perspectives available to researchers using this multi-chatbot approach.