Research · Coming soon

Babbily Research studies how to make AI work for everyone, with no barriers between people and what it can do.

Routing

Coming soon

How Auto chooses a model and reasoning level for every message.

Memory

Coming soon

Context that carries across models without getting in the way.

Evaluation

Coming soon

Testing models on real Babbily tasks, not benchmarks alone.

Agents

Coming soon

Making tools and long-running tasks finish reliably.

Experience

Coming soon

Finding and removing what makes AI feel hard to use.

Featured · Coming soon

First notes from Babbily Research

Our first notes will look at how Auto routes a message across frontier models, and what we’ve learned building one app around all of them.

Upcoming notes

What we’re studying now. Each note will publish here as it’s ready.

Routing · Coming soon

How Auto picks a model for every message

What Auto reads in a request, and how it trades speed, cost and quality across models.

Agents · Coming soon

Agents that finish the job

What it takes for long-running tasks and tool use to end in a result you can use.

Memory · Coming soon

Context that travels between models

Keeping projects, files and preferences useful no matter which model answers.

Handoffs · Coming soon

One answer from many models

Passing an image, video or research step to the model best suited to it, then back.

Evaluation · Coming soon

Testing models on real tasks

Why we grade models on everyday Babbily work, not only public benchmarks.

Experience · Coming soon

Measuring what makes AI feel simple

Where people get stuck with AI, and the changes that removed those steps.

Routing · Coming soon

How Auto picks a model for every message

What Auto reads in a request, and how it trades speed, cost and quality across models.

Evaluation · Coming soon

Testing models on real tasks

Why we grade models on everyday Babbily work, not only public benchmarks.

Handoffs · Coming soon

One answer from many models

Passing an image, video or research step to the model best suited to it, then back.

Memory · Coming soon

Context that travels between models

Keeping projects, files and preferences useful no matter which model answers.

Agents · Coming soon

Agents that finish the job

What it takes for long-running tasks and tool use to end in a result you can use.

Experience · Coming soon

Measuring what makes AI feel simple

Where people get stuck with AI, and the changes that removed those steps.

Routing · Coming soon

How Auto picks a model for every message

What Auto reads in a request, and how it trades speed, cost and quality across models.

Memory · Coming soon

Context that travels between models

Keeping projects, files and preferences useful no matter which model answers.

Evaluation · Coming soon

Testing models on real tasks

Why we grade models on everyday Babbily work, not only public benchmarks.

Agents · Coming soon

Agents that finish the job

What it takes for long-running tasks and tool use to end in a result you can use.

Handoffs · Coming soon

One answer from many models

Passing an image, video or research step to the model best suited to it, then back.

Experience · Coming soon

Measuring what makes AI feel simple

Where people get stuck with AI, and the changes that removed those steps.