How do we train our Ada conversational bot to recognize when a customer is angry and immediately trigger a human handoff?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we train our Ada conversational bot to recognize when a customer is angry and immediately trigger a human handoff?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Ada customer service AI platform handoff escalation intent sentiment detection conversational bot documentation Google ↗
site:docs.ada.cx handoff human agent escalation intent sentiment Google ↗
- Handoff management · docs.ada.cx
- Create context-specific handoffs your AI Agent can trigger dynamically · docs.ada.cx
- Key concepts · docs.ada.cx
- Response training · docs.ada.cx
- Topic and Intent classification at handoff · docs.ada.cx
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Ada customer service AI platform handoff escalation intent sentiment detection conversational bot documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
site:docs.ada.cx handoff human agent escalation intent sentiment OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |