comparing Relevance AI and Retool Workflows for building AI agents that automate customer onboarding
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
comparing Relevance AI and Retool Workflows for building AI agents that automate customer onboarding
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Relevance AI official documentation agents workflows integrations human in the loop customer onboarding platform 2026 Google ↗
Retool Workflows official documentation AI agents workflows integrations human in the loop 2026 Google ↗
- Introduction · relevanceai.com
- Build with Relevance AI · relevanceai.net
- Workforces · relevanceai.mintlify.app
- Retool Workflows documentation · docs.retool.com
- Retool Agents documentation · docs.retool.com
- Retool Agentic Workflow with Agent · docs.retool.com
- Retool Agents quickstart · docs.retool.com
- Alerts · relevanceai.net
- Introduction to Evals · relevanceai.net
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Relevance AI official documentation agents workflows integrations human in the loop customer onboarding platform 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Retool Workflows official documentation AI agents workflows integrations human in the loop 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |