Creating a Data Machine

every data machine is a workflow of steps executed as a series of operations either based on a task assigned or by validating a condition hence, building a data machine requires an organization of steps in the order they need to be executed to lead to the final result create execution steps create operational step docid\ kjijqvg7qvs0pawy3sioy assign an ai model to execute a desired task on a user provided input or the result of a previous step create conditional step docid\ kpbhvpfjjvxvlshvjoxqg assign an ai model to perform a validation of a result from a previous step or a user provided input create final step if all the desired operational and conditional steps are added, then create on last step called the final step docid\ ldwczh31 g4yheakielp3 that determines how the output of the data machine can be utilized test the data machine every data machine requires testing a data machine docid\ fu8r9to8prdf9v1l8rprs to be performed by the creator to ensure the right output is being generated this is a mandatory step for every data machine, regardless of which ai models are used publish the data machine data machines are created in a draft state initially until explicitly publishing a data machine docid\ r6ral7n 9rxe1shlqi6mw the creator of a data machine has the option to test the data machine as many number of times as needed before publishing the data machine only published data machines are executable using rest api or any of the other execution options