- Getting started
 - Best practices
 - Data privacy
 - Autopilot chat
- About Autopilot chat
 - User interface
 - Interacting with Autopilot chat - recommendations
 - User scenarios for the Autopilot chat
 
 - Generating automations
 - Generating tests
- Generating tests
 - Quality-check requirements
 - Generate tests for requirement
 - Import manual test cases
 - Find obsolete tests
 - Generate tests for SAP transactions
 - Generate coded automations
 - Generate coded API automation
 - Refactor coded automations
 - Generate low-code automations
 - Generate synthetic test data
 - Generate test reports
 - Search Test Manager project
 
 - Autopilot for Everyone
- About Autopilot for Everyone
 - Autopilot for Everyone feature comparison
 - User types
 - Data sources
 - Toolset automations
 - Localization
 - Prerequisites
 - Autopilot widget
 - The Autopilot for Everyone tenant card
 - Prerequisites for installation
 - Enabling Anthropic models
 - Installing Autopilot for Everyone
 - Updating Autopilot for Everyone
 - Uninstalling Autopilot for Everyone
 - Configuring Autopilot for Everyone
 - Disabling the Autopilot welcome screen in Assistant
 - Configuring an LLM for Autopilot for Everyone
 
- Deploying toolset automations
 - Prompt-to-response flow
 - Launching Autopilot for Everyone
 - Autopilot settings for business users
 - Using a specialized Autopilot
 - Using a starting prompt
 - Uploading and analyzing files
 - Running automations
 - Interacting with Autopilot answers
 - Using suggested prompts
 - Starting a new chat
 - Chat history
 - Providing general feedback
 
- Clipboard AI Enterprise version
 - Troubleshooting
 
 

Autopilot user guide
The following examples describe how you can leverage Autopilot based on your scenario:
What you do: Use natural language in the chat to describe what you want to build.
How Autopilot helps:
- Converts your input into a draft automation sequence.
 - Allows follow-ups such as "Can you change the order of these steps?" or "Use a different activity here."
 - Maintains full context of your request to incrementally build or adjust the automation.
 
For example:
"Create a process that reads unread Outlook emails, saves the attachments to a folder, and logs the filenames to Excel."
Follow-up: "Add a step to delete the email after saving the attachment."
What you do: Ask for changes to specific parts of an existing automation.
How Autopilot helps:
- Recognizes references to named sequences or selected activities.
 - Applies changes such as "Use a different variable," or "Replace this with a conditional check."
 - Iterates on suggestions with you to refine the update in-place.
 
For example:
"Update the Data Extraction sequence to use the invoiceList variable instead of inputData."
Or: "Replace the last three steps with a Try-Catch block."
What you do: Ask for explanations of workflow logic, activity purpose, or sequence behavior.
How Autopilot helps:
- Summarizes selected parts of the workflow in human-readable language.
 - Responds to questions such as "What does this sequence do?" or "Why is this loop used?"
 - Supports deeper exploration through contextual follow-up questions.
 
For example:
"Explain what the Send Notifications sequence does."
Follow-up: "Why is it filtering on status = failed?"
What you do: Request a review or optimization of part of your automation.
How Autopilot helps:
- Evaluates logic, error handling, and efficiency in the selected segment.
 - Suggests improvements such as "Simplify these steps" or "Improve exception handling."
 - Adapts feedback based on your goals, such as robustness, readability, or performance.
 
For example:
"Is there a more efficient way to process these invoices?"
Follow-up: "Can you suggest how to reduce the number of Excel write operations?"
What you do: Ask about validation errors or broken configurations during workflow design.
How Autopilot helps:
- Analyzes the error in context of the current workflow and variable scope.
 - Suggests fixes such as "Add this missing argument" or "Update this property value."
 - Lets you adjust or clarify the fix through chat.
 
For example:
"Why am I getting a variable not defined error in the email loop?"
Follow-up: "Add the missing variable with default value True."
What you do: Respond to runtime exceptions or failed execution paths during debugging.
How Autopilot helps:
- Highlights the step that caused the error and explains what went wrong.
 - Allows follow-ups such as "What input caused this?" or "How should I fix it?"
 - Proposes corrective actions or changes based on current context.
 
For example:
"Why did the Read Range step fail during execution?"
Answer: "The Excel file path is null. Would you like to add a null check before this step?"
What you do: Ask questions about activities, errors, or best practices during development.
How Autopilot helps:
- Returns context-aware answers pulled from official docs and KB articles.
 - Handles queries such as "How does this activity work?" or "What does this error mean?"
 - Provides links to full documentation while keeping you focused in your context.
 
Example:
"How does the Deserialize JSON activity handle nested objects?"
Or: "What are the recommended patterns for retrying failed transactions?"