Data Machines
Creating a Data Machine
Operational Step
3min
an operational step is used when a specific task needs to be executed with a given set of parameters where the task can be executed more successfully using ai these are typically complex tasks that require a higher level of computation power where traditional code based implementations are not sufficient for example, summarizing a long passage using ai is an operational step which can be easily achieved using the summarization model in the above example, using a summarization model to interpret a long passage of text is an operational step in an ai automation workflow an operational step can be attached to another operational step or a conditional step how to create an operational step? as shown in the creating a new data machine docid\ xgehhk7sdj 15fbbn8mo4 section, to create an operational step, simply drag and drop the operational step from the toolbox in the editor grid once the operational step block is added to the editor grid, the information section to the right of the screen will present the options to configure the step with your desired functionality in order to complete the setup of an operational step, the following information needs to be configured select ai model category select the category of ai models you are interested in select ai model select the ai model displayed under the category to perform the desired ai based task in your operational step the full list of ai models that are available for this step is available at models supported by data machines docid\ b5sa7knz26kniwajsaq3u select model inputs select the inputs required for the execution of the operational step the inputs are dependent on the ai model selected from the prior list input review the inputs for each ai model in the model library to ensure all the required inputs are added note if the operational step being added is the first step in the sequence of the data machine workflow, the configuration of inputs is not needed as the inputs are automatically added for subsequent steps, whether the step is an operational or a conditional step, input parameters need to be configured to ensure the right output from the previous step is captured for the current step add a connecting step (if needed) after the configuration of the operational step is complete, another operational, conditional or final step can be added connecting to the step just added by dragging and dropping from the toolbox