Make a product manual callable with a QR-linked AI phone workflow. A manual that callers can ask about by phone, with support details saved as a ticket.
Create a Call App for a product manual that answers known support questions, captures model, page, problem, serial number, and escalates safety issues.{
"outcome": "product manual call outcome",
"fields": [
{
"description": "product model captured during the call.",
"name": "product_model",
"required": true,
"type": "text"
},
{
"description": "page or section captured during the call.",
"name": "page_or_section",
"required": true,
"type": "text"
},
{
"description": "problem description captured during the call.",
"name": "problem_description",
"required": true,
"type": "text"
},
{
"description": "serial number captured during the call.",
"name": "serial_number",
"required": true,
"type": "text"
},
{
"description": "support priority captured during the call.",
"name": "support_priority",
"required": true,
"type": "text"
}
]
}AI: Hi, I am the AI workflow attached to this product manual. What do you need help with?
Caller: I am looking at the setup section and cannot get the device paired.
AI: What should the owner know before they follow up?
Caller: Please save this for product support team.
The best location is where the caller already understands the object and needs action: a room sign, product label, manual, invoice, package, or field asset. The surrounding copy should say what the call will create for the owner.
Start with one owner, one notification path, and one structured outcome. If callers use the same QR code for multiple needs, add a first question that classifies intent before collecting detailed fields.
Make the first screen and opening line match what the caller will actually get. For call this product manual, the promise should be narrow enough that a caller understands the purpose before sharing details or scanning a QR code. Avoid broad claims like "we can help with anything"; a specific promise produces cleaner calls and clearer follow-up.
Decide which fields are required before the call can be considered complete. A practical first version should capture product model, page or section, problem description, then send a summary that Product support team can act on without replaying the call. If a field is not used for routing, qualification, scheduling, or review, remove it from the first launch.
Write down the cases that should not be automated. Use human review for safety hazard, warranty claim, caller asks for replacement approval so the workflow stays useful without pretending to handle every edge case. Review the first real calls before connecting higher-risk actions or expanding the workflow.
A callable product manual gives someone an immediate way to explain context while they are looking at the object, sign, room, document, or product. The QR code starts a phone workflow that captures the issue and sends the owner a structured result.
Use plain signage such as "Scan to call this product manual" and explain what will happen after the call. Avoid vague labels. The caller should know they are contacting an AI workflow and that the result goes to product support team.
The workflow should capture product model, page or section, problem description, caller intent, urgency, and a practical next action. Do not ask for sensitive information unless the owner truly needs it and has the right consent and review process.
Escalate when the caller reports danger, sensitive information, access issues, payment disputes, or anything that needs a person. For this example, the main handoff triggers are safety hazard, warranty claim, caller asks for replacement approval.
Use this object-specific workflow as the starting prompt, then print the QR code wherever the caller needs it.