Real ChatGPT answer · index seedqhZU4ieD5YUcompleteB2B software · AI and automation toolsinformational
What does a basic human in the loop architecture look like when combining Make com with an AI text generation step?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What does a basic human in the loop architecture look like when combining Make com with an AI text generation step?
1 real search · 1 real-search pass
Make.com human in the loop approval workflow webhook wait for response documentation AI text generation scenarioGoogle ↗
OBSERVEDOther / navigational
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Make.com human in the loop approval workflow webhook wait for response documentation AI text generation scenario Google ↗
- Webhooks · apps.make.com
- Human in the Loop for Make.com Automations · docs.enforcedflow.com
- Pattern for pausing a Make scenario while a human reviews an AI video draft - #4 by Samuel11 - Questions · community.make.com
- Human in the Loop · apps.make.com
- Human in the loop (Enterprise) and Make AI Toolkit Integration · make.com