Abstract: A graphical user interface provides interactive control over configuring a workflow comprising multiple functions, enforcing matching of data types for output of a function to be input into another function. At least one function executes a generative artificial intelligence model to generate nondeterministic output. A graph-based representation of the workflow is generated, including multiple versions and iterations of executing the workflow. The graph-based representation enables return to a prior version or iteration, allowing generation of additional nondeterministic output based on the prior version or iteration, rather than a most-recently generated version or iteration. This enables iterative refinement and exploration of workflow outcomes.

Abstract: A graphical user interface provides interactive control over configuring a workflow comprising multiple functions, enforcing matching of data types for output of a function to be input into another function. At least one function executes a generative artificial intelligence model to generate nondeterministic output. A graph-based representation of the workflow is generated, including multiple versions and iterations of executing the workflow. The graph-based representation enables return to a prior version or iteration, allowing generation of additional nondeterministic output based on the prior version or iteration, rather than a most-recently generated version or iteration. This enables iterative refinement and exploration of workflow outcomes.