With FlowGram, you build AI workflow platforms faster by creating visual diagrams of your data flow.
Automations like: when a new customer buys a product on Shopify, send a notification to Slack and update the sales data in Excel.
FlowGram helps you work more efficiently by visualizing your complex workflows, making it easier to build, test, and maintain your AI solutions.
"A founder who wants to automate tasks for their e-commerce business could use FlowGram to create a visual workflow: they'd start by creating a canvas in FlowGram, then add a 'Shopify order' trigger, followed by an 'update Excel sales data' action and a 'send notification to Slack' action. The workflow would be live and functional in just a few hours."
Beginners should pick up FlowGram after having some basic programming knowledge and a grasp of data flows.
Senior engineers and professionals would reach for FlowGram when needing to build, test, or optimize complex AI workflows.
The most common confusion about FlowGram is that it's just a visual builder, but it's actually a full-fledged workflow development framework with built-in materials and features.
FlowGram is a framework that helps developers build AI workflow platforms faster and simpler by providing an extensible workflow development framework with built-in canvas, form, variable, and materials.
git clone https://github.com/bytedance/flowgram.ai.gitnpm run start && npm run build:example to build and run the example workflow
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