Chat is a dead end.

What gets lost

The cost of a linear interface is invisible until you add it up. Every time you start a new chat to try a different angle, you lose the context that took ten messages to build. Every time you stay in the same thread and course-correct, the model's understanding of your original intent gets muddier with each turn.

Over weeks of use, the real loss is structural. You end up with hundreds of disconnected conversations, each one a fragment of a larger thought process that only exists in your head. The promising tangent from last Tuesday, the comparison you meant to revisit, the approach you abandoned too early — all of it is buried in a sidebar of auto-titled threads.

The problem is not that the models are bad. The problem is that the interface throws away the structure of your thinking faster than you can build it.

Thinking is not linear

When you're doing real work — researching a topic, writing something that matters, solving a problem with multiple possible approaches — your thinking naturally branches in different directions. You explore one angle, circle back to compare it with another, and occasionally combine the best parts of both into something better than either.

Your AI interface should support that same kind of fluid exploration, not force everything into a single scrolling feed where every idea competes for the same narrow column of space.

What a canvas gives you

LMCanvas replaces the linear thread with a spatial canvas where conversations live as connected nodes that you can branch, rearrange, and build on without ever losing your place.

• --Branch any conversation at any point to explore two approaches in parallel, without losing the original thread or starting over.
• --Compare model responses side by side by sending the same prompt to GPT-5, Claude, Gemini 3, or any other model and seeing exactly how their answers differ.
• --Merge the best paths back together when you're ready — cherry-pick the strongest insights from different branches into a single unified conversation.
• --See everything at a glance by zooming out to survey your entire research session, or zooming in to focus on the thread that matters right now.

300+ models, one workspace

Most AI chat apps lock you into whatever models that one company happens to offer. ChatGPT gives you GPT-5, Claude gives you Claude, and Gemini gives you Gemini — but none of them let you use the others.

LMCanvas connects to over 300 models from Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, and more, all within the same canvas. You can use Claude Opus for nuanced writing, GPT-5 for structured analysis, Gemini 3 for fast research, and Llama 4 for self-hosted privacy — and switch between them mid-conversation without losing any context.

The model you use should depend on the task at hand, not on which app you happened to open that morning.

Built for thinking, not just answers

LMCanvas isn't another chatbot wrapper — it's a workspace designed for the kind of sustained, iterative thinking that produces genuinely good work over time.

If all you need is a quick answer to a quick question, any chat app will handle that fine. But if you use AI to research, write, build, and explore ideas across sessions that span days or weeks, LMCanvas is built for the way that kind of work actually happens.