This release improves several of the workflows behind that experience, from model routing to image and document generation, while introducing new MCP integrations and a Library for your generated images.
Here’s what’s new.
Dynamic Models Update
Different tasks benefit from different models.
We’ve improved Nash’s model routing so requests can be handled more intelligently based on what you’re trying to accomplish.
The goal is simple: you shouldn’t have to think about which model belongs behind every request.
Ask Nash. Let the infrastructure handle the rest.
Image Generation, End-to-End
Image generation is now integrated end-to-end inside Nash.
You can move from an idea to a generated image without breaking your workflow or moving between separate tools.
Create, iterate, and keep working from the same experience.
Document Generation
Whether you’re turning an idea into a draft or creating a document as part of a larger workflow, Nash can now carry the process through from request to finished output more reliably.
MCP + Google MCP
Nash can now connect to more of the tools and context you already work with.
This release adds support for MCP, including Google MCP, expanding what Nash can access and work with as part of your workflows.
Instead of keeping your AI isolated from the rest of your work, MCP gives Nash a way to connect with the systems around it.
Introducing the Library
Generating something useful is only half the experience.
You also need to be able to find it again.
Nash now has a Library where your generated images are stored automatically, giving you one place to browse and access previous creations directly.
Generate it once. Find it when you need it.
Available Now
This release is about making Nash feel less like a collection of AI features and more like one connected workspace.
Dynamic models.
End-to-end image generation.
Reliable document creation.
MCP connectivity.
And a Library that keeps your work within reach.
Say hello to your new AI workspace.
Try the latest release at hellonash.ai.
Rob Imbeault
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