AI Assistant
The Autom8 AI Assistant is your built-in partner for building, debugging, and optimizing workflows. Whether you're new to automation or pushing advanced logic, the Assistant helps you move faster and smarter—right inside the editor.
What the AI Assistant Can Do
Debug Helper Quickly identify and resolve workflow errors—step through broken nodes and fix issues with guided help.
Answer Platform Questions Ask anything about Autom8 AI’s features, settings, or integrations—get clear, contextual answers instantly.
Code Assistance Get help writing and refining code inside nodes. From JavaScript to SQL to JSON, the assistant helps you transform and structure your data.
Expression Guidance Learn how to build effective expressions to reference data, perform logic, and drive dynamic behavior.
Credential Setup Help Unsure how to connect an app? The Assistant walks you through setting up secure, working credentials.
Tips for Using the Assistant Effectively
Be conversational Treat it like a teammate. Provide context, and ask follow-ups if the first answer isn’t perfect.
Ask specific questions The more targeted your question, the more accurate the help. Examples:
“How do I create a Slack notification?”
“Why is this webhook failing?”
“What does this expression do?”
Iterate with feedback Build on the Assistant’s suggestions—tweak code, ask clarifying questions, and refine your workflow live.
Things You Can Try
“Debug this error I’m seeing in Step 3.”
“Help me write an expression that formats a date.”
“Explain what this workflow does.”
“How do I set up credentials for Airtable?”
“Build a chatbot using OpenAI and Slack.”
FAQs
Who can use the Assistant? The AI Assistant is available to all users on Autom8 AI’s Cloud plans.
What can it see? The Assistant can access everything visible in your workflow editor—node structure, names, config—but never sees sensitive input/output values.
How does it work? It’s powered by specialized AI agents trained on Autom8 AI’s documentation, workflow logic, and real-time context from your screen. It uses retrieval-augmented generation (RAG), embedded knowledge, and intent-matched prompting for intelligent support.
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