Cross-AI Workflowsadvanced · ~180 min

The Support Line That Knows When It's Out of Its Depth — Cheap AI for the Routine, a Stronger One for the Rest

What does it actually cost when the cheapest AI you could put on your support line answers a refund dispute, a safety complaint, or a legal threat — confidently, correctly formatted, and wrong?

This project builds the opposite of a black box: a support line where a cheap model handles the routine questions for pennies, and a set of escalation rules you wrote yourself decides, in code you can read, exactly when a conversation is handed up to a stronger AI or to a person.

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What you'll do

A tiered customer-support routing system you own end to end: a deterministic layer that answers the easy questions and blocks the dangerous ones with no model involved, a cheap model handling the bulk of routine traffic with structured output your code can verify, an escalation scorer built from named signals with hard gates that cannot be outvoted, an audited handoff packet that carries context to the stronger tier without laundering the cheap tier's guesses into facts, a fallback ladder that never silently downgrades a customer, a cost model with a break-even escalation rate computed from your own token counts, and a frozen regression set of real conversations you tune against instead of tuning against your last complaint.