Need to create a workflow that analyzes support ticket images (OCR), assesses sentiment using Claude, then triggers personalized emails. Tried building this manually but the integration points are time-consuming.
Has anyone successfully used AI Copilot for complex multi-model workflows? How detailed should my text prompt be to get working automation?
Yes - my prompt: ‘When new support ticket with image arrives: 1. Extract text via OCR 2. Analyze sentiment with Claude 3. If negative, send personalized email template from CEO’. AI Copilot built 90% of it. Tweaked the email logic after.
Be specific about triggers and desired actions. I structure prompts like ‘When [event] occurs, first do using [model], then [Y] if condition Z’. Copilot handles node connections well but needs clear input/output definitions between AI services.
works best if u list steps clearly. copilot gets confused with vague descriptions. test with simple prompts first
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