What Makes Imitation AI Different
There are hundreds of AI tools. Most of them are chat with a better UI. Imitation AI is not one of them.
It's a canvas, not a chat
You don't type a prompt and wait for a response. You build a workflow.
Each prompt is a node. You connect nodes with edges. The output of one becomes the context of the next. You see the entire reasoning path on an infinite canvas.
Every major model, one place
Most people compare models. Claude vs GPT vs Gemini.
But the real question is: why pick one?
Different models are good at different things. On a canvas, they work together. 16 models from 10 providers — all accessible from the same workflow.
Outputs are editable
Most AI tools treat outputs as final. But thinking isn't final. It's iterative.
You shape the output. Then the system builds on your version — not the raw generation.
The AI proposes. You decide. That's what Think · Prompt · Evolve actually means.
Chain execution
Connect three nodes. Run the chain. It executes step by step, carrying context forward. No copy-paste. No resets.
File upload
Upload a document. Turn it into context. Ask questions. Extract insights. Build on it.
It runs on iPad
Same canvas. Same workflows. Wherever you think.
Built for thinking
Most AI tools optimize for answers. Imitation AI optimizes for thinking.
Build a reasoning chain. See the structure. Iterate until it's right.
The difference isn't the model. It's the system.
Think · Prompt · Evolve