How do I use an AI assistant to learn AI Flowi Workflow?
Give a web-capable AI assistant the AI documentation entry page before describing your goal. Ask for a workflow map covering four stages: trigger, processing, logic or AI, and action. Learn one stage at a time using documented component names and compatible ports, then check the references and test each stage yourself. Use a workflow diagram template to organise that map before asking for component-by-component guidance.
By Ai Flowi · Technical review: Janice Lee, Technical Support, Ai Flowi.
Published · Updated
Prerequisites
- An AI assistant that can read the linked documentation.
- A workflow goal you can describe in plain language.
- Access to AI Flowi Workflow for checking and testing the suggested steps. Use placeholders for keys and private data.
Steps
- Share the AI documentation entry page with the assistant. Ask it to read that page before proposing a flow.
- Describe the input, the result you want, and any external action. For example: receive webhook JSON, extract named fields, and append them to Google Sheets.
- Ask for the complete workflow map first. Request the documented component ID and input/output types for every proposed connection.
- Work through the map one stage at a time. Ask what to configure, what sample data to use, and what result to inspect before moving on.
- When a step fails, show the first failed component's non-secret error and ask the assistant to check that stage's port types and settings. If the documentation does not establish a capability or field, ask it to say so.
You can use this prompt:
Read the linked AI Flowi Workflow documentation. Show a workflow map for [goal], then teach one stage at a time. Use documented components and extensions, name the ports and their types, and give me a small test after each stage. Say when a component or field is not documented. Do not ask me to paste credentials.
Expected result
You have a map you can compare with the verified tutorials, plus individual tests for the trigger, processing, logic or AI, and action stages. For a first hands-on check, follow the Playground workflow.
Common errors
- A suggested edge cannot connect: Compare the source output type with the destination's accepted types in workflow basics.
- The assistant invents a field or component: Ask for its documented ID and port definition; leave the step out if neither is available.
- A configured flow fails: Inspect the first failing stage and its credentials without sharing secrets with the assistant.