Tess AI

tess ai enables developers to integrate advanced conversational ai and automation into their products with make com integration, users can trigger tess ai workflows, send and receive conversational data, and automate responses across supported channels directly from their automation scenarios this is ai generated content based on official tess ai documentation the content may contain mistakes please verify important information if you have questions on vendor documentation, contact https //tessai io directly requirements to use the tess ai app in make, you must have an active account and an api key, https //tessai io for subscription, refer to the https //tessai io connect tess ai and to get started, you must first create a connection between tess ai and , allowing the two services to communicate obtain your api key in your tess ai account create the connection in make obtain your api key in your tess ai account before you create the connection in , you should first obtain your api key in your tess ai account to obtain your api key navigate to the user menu select api tokens click add new token copy the api key displayed on screen you will use this value while creating a connection in because the ui might have changed, the steps you see on your screen might be different, https //docs tess im/api/introduction/ create the connection in https //www make com/en/register , add the tess ai module to your , and click create a connection if you add a module with an instant tag, click create a webhook , then create a connection optional in the connection name field, enter a name for the connection enter the authentication credentials you copied from your tess ai account or follow the on screen instructions to create the connection for detailed information on connecting an application, see docid\ so88fm6pkt0g adkddfzz page tess ai modules after connecting to the tess ai app, you can choose from a list of available modules to build your create a conversation initiates a new conversation thread within the selected platform create a transcription job generates a written text transcript from an audio file execute a long running agent runs a specified agent and provides the agent's ids, making it suitable for agents that take a long time to complete if the agent takes too long and times out, you may need to use the 'agent execute response' action to retrieve the final results execute an agent runs a specified agent to perform its designated tasks generate a video file creates a video by processing input data through the runway engine generate an image creates an image using the gpt image generation tool search agent details fetches comprehensive information about a particular agent search agent execution response searches for responses generated by agent executions search agents searches for agents in your account based on specified criteria search file details retrieves detailed information about a specific file search files retrieves a list of files stored in tess upload a file uploads a new file to your tess account for storage or processing templates you can look for more templates in https //www make com/en/templates , where you'll find thousands of pre created tess ai resources you can have access to more resources related to this app on the following links https //community make com/search?q=tess%20ai https //tessai io https //tessai io https //docs tess im https //www make com/en/integrations/tess ai