The Ultimate Guide to AI Multi-agent Workflows

when it comes to complicated business processes with multiple steps relying on a single AI agent often isn't enough to get quality results that's where mind Pal's multi-agent workflows come into play multi-agent workflows Connect several agents in a step-by-step process enabling them to pass data and build upon each other's responses creating an AI multi-agent workflow with mpal is easy you can begin with a template from our extensive G gallery of AI workflow templates import a Json file if someone has shared their AI workflow setup with you or start from scratch alternatively you can let mind pal

generate an entire AI workflow for you just describe the type of workflow you need and mine pal will handle the initial setup which you can then adjust to fit your specific needs using the AI workflow Builder an AI multi-agent workflow in mine pal consists of a series of steps with two key types of steps to focus on the first type of workflow steps is user input steps where the workflow pauses to request input from humans you can add as many input Fields as needed including text URL file or image types you can also choose whether

each input field is required or optional importantly you can place user input steps anywhere in the workflow allowing for seamless human involvement while the AI does its job the second type of workflow steps is Agent steps which are executed by an AI agent in your workspace you specify the task for each agent in the current process in the prompt section you can reference user input values or outputs from previous steps in your prompts to ensure that the agents output is relevant and meaningful when you run the workflow these references will be replaced with the actual

values from that run once your AI multi-agent workflow is set up you can run it whenever you need results there are four different modes for running an AI workflow on mpal one single run mode select an AI workflow provide the necessary inputs click Start and you'll get the results in real time two run in background mode enable this toggle to process the AI workflow in the background while you close the window you can check back later for results three supervise mode turn on this toggle to force the AI workflow to pause after each step and

wait for your approval to continue this gives you ample time to review and edit responses before moving on four bulk run mode use this mode to run the AI workflow multiple times at once upload a set of inputs and the workflow will process them simultaneously in the background you can check back later for all results in the workflow run result table if you want to share your AI workflow with people outside your workspace such as your audience or customers you can publish it as a form this will provide you with a sharable link and a

code snippet to embedded on your website instantly you can customize the form settings including copy interface access options security practices and more alternatively you can export the AI workflow setup as a Json file and share it with others so they can then recreate the workflow by uploading it to their own account you can also duplicate the AI workflow into another workspace of yours or share it as a template in our community Marketplace if you want to connect the AI workflow to your existing cross op business automation check out our API and web hooks reference you'll

get detailed instructions on how to programmatically trigger any AI workflow from anywhere with an API request and send completed workflow results to anywhere with web hooks this makes it possible for you to connect mpal to any cross app integration platform now are you ready to start integrating MP pal multi-agent workflows into your business to supercharge your productivity head over to mpal to explore our vast library of AI workflow templates and build your own in minutes