Scenario A: The VIP Filter
BeginnerMission: Your CEO gets too many emails. Build an agent to filter them.
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Trigger: Incoming Email
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Logic: Check the "Sender" address
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Condition: If VIP -> Forward to CEO
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Else -> Archive to "Later" folder
Hints:
- Use a Decision Diamond to check sender
- VIP list could be stored in Knowledge
Scenario B: The Deal Hunter
IntermediateMission: Find the cheapest price for a list of products across multiple retailers.
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Trigger: User provides a list of items
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Loop: For each item, search web for price
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Agent: Use Web Search to find prices
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Collection: Add each price to a Report variable
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End: Email the full comparison report
Hints:
- Use a Loop card for the list
- Python Code Interpreter can compare numbers
Scenario C: The Safety Net
AdvancedMission: An internal Q&A bot for employees, but it must be safe and not leak confidential information.
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Trigger: Employee asks a question via chat
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Agent: Searches SharePoint knowledge base
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Agent: Drafts answer based on found documents
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Guardrail: Check if answer contains "Confidential" tag
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If Confidential -> Reject with message "This information is restricted"
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Else -> Send the approved answer
Hints:
- Use Human-in-Loop for extra safety
- Add blocklist for sensitive keywords
Scenario D: The Expense Approver
AdvancedMission: Automatically process expense reports with manager approval for high amounts.
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Trigger: New expense receipt submitted
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Agent (Vision): Extract merchant, date, amount from image
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Agent (Calculator): Validate the math
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Decision: If amount > $500, route to manager
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Human-in-Loop: Manager approves or rejects
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Output: Send confirmation or rejection email
Hints:
- Vision capability needed for receipt photos
- Python for accurate math