Interactive walkthrough
Automated Customer Service, Step by Step
Pick a request type and which systems are connected, run it, then choose what happens next — the same customer support agent pattern built for real clients, run against an example request with real numbers generated fresh each time.
What happens outside the chat window
What's the customer asking?
Which systems are connected?
WALKTHROUGH
Why this matters
Most support volume isn't hard, it's repetitive — "where's my order," "how do I reset my password," questions your knowledge base already answers if a customer could be bothered to search it. That's typically 60–80% of ticket volume, per the full customer support agent pattern this demo is built on. Removing that volume doesn't shrink the team, it changes what they spend the day on — see what actually costs money to maintain once something like this is running, and estimate your own build against your real channel count.
How this actually runs
Every run above — including each follow-up choice — is a real JSON-RPC tools/call request to tunovix.com/mcp, the same live, public MCP server used elsewhere on this site. The order numbers, amounts, and tracking codes are generated fresh on the server each time, so two runs won't look identical; no real Zendesk or Intercom account is ever contacted. What's real is the workflow: an agent that checks a system before answering, and hands off to a human when it should, instead of guessing. See AI chatbot development for the narrower single-channel version, or e-commerce order support for the Shopify/WooCommerce-specific pattern.
Have a product in mind? Let's scope it this week.
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