Threads in Model ML function similarly to the chat feature you may be familiar with from platforms like ChatGPT, but with a powerful twist: they have access to your files, folders, projects, and premium data sources such as Crunchbase, FactSet, and Pitchbook. This makes Threads a central hub for research, allowing you to draw from and directly interact with all relevant data and resources.
Key Features
1. Integrated Data Access
Unlike typical chat tools, Threads in Model ML are designed to integrate with your project’s files and data sources seamlessly. You can discuss ideas, share updates, and instantly reference or pull information from your uploaded files, active projects, or premium datasets such as Crunchbase, FactSet, and Pitchbook - all within the same thread.
2. Task and Project-Specific Conversations
Each thread can have specific documents, folders, or projects attached, keeping conversations focused. You can create a thread for individual projects, specific tasks, or research areas. This structure helps maintain clarity and context, making tracking progress and revisiting decisions easier without sifting through unrelated discussions.
3. Access to Premium Data
With Threads, you can pull insights directly from premium data sources like Crunchbase, FactSet, and Pitchbook. This lets you make more informed decisions based on real-time data and ensures that the most relevant and up-to-date information supports your conversations.
How to Use Threads in Model ML
You can watch this video to learn how to get up and running with Threads.
(coming soon)
Best Practices for Using Threads
Leverage data access: Make the most of the integrated premium data sources by pulling relevant insights directly into the conversation, minimising time spent switching between tools.
Stay on topic: Keep each thread focused on its specific project or task to avoid clutter and ensure productive discussions.
Archive completed threads: Once a project or task is done, you can archive the thread for easy reference while keeping your workspace clean.