Autotab learns by watching you demonstrate and explain your task. This means Autotab has 100-1000X more data than prior approaches, providing the deep context required for full autonomy.
As it runs, Autotab asks for clarifications and feedback. These learnings are accumulated into action memory—improving Autotab's world model, and allowing it to work reliably for hours on end.
Real work is hard. Autotab is powered by over 16 unique models ranging from edge compute on-device, to the largest frontier models in the world.
Autotab uses a custom browser for secure, bare metal task execution—locally and in the cloud. This also lets us avoid most bot detection.