Who should use the Voice Interaction workflow?
Teams or solo builders working on ai chatbot tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pagestory generation
Prepare inputs and settings through story generation before running voice interaction. Story generation capability
Why this matters
story generation sets up the foundation for voice interaction; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
More options
2Core · Step 2 of 3
Open task pageVoice Interaction
Execute voice interaction with Voice Interaction to produce the primary audio output. Voice Interaction capability
Why this matters
This is the core step where voice interaction actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass audio output is generated and ready for refinement in the next steps.
3Deliver · Step 3 of 3
Open task pageNatural Language Generation
Package and ship the output through Natural Language Generation so voice interaction reaches end users. Natural Language Generation capability
Why this matters
Natural Language Generation is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized audio output is ready for publishing, handoff, or integration.