- Experiment
- LAB 001
- Status
- Experiment
- Tags
- AI · Automation · SaaS
- Studio
- Man & Tech Lab
01
The question
How much of a customer conversation can an agent own before a human needs to take over?
02
Concept
An agent with a bounded knowledge base, an explicit confidence threshold and a visible handoff moment, so trust is engineered rather than assumed.
03
Technologies
- LLM APIs
- Vector search
- TypeScript
- Node
04
What we're learning
- Grounding answers in a narrow knowledge base beats a larger, vaguer one
- Escalation quality matters more than raw answer quality
- Users forgive a handoff; they do not forgive a confident wrong answer
05
Future direction
Move from single-turn answers to multi-step actions such as refunds and scheduling, with an audit trail for every action taken.
06
Screenshots

Curious about this experiment?
Tell us what you're trying to build and we'll tell you how we'd approach it.
info@manandtech.com