Real ChatGPT answer · index seedgQpdYIxK1lIcompleteB2B software · AI and automation toolsinformational

What steps are involved in building a custom internal chatbot that can answer HR questions for our handful of remote employees?

ChatGPTgpt-62 queries10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What steps are involved in building a custom internal chatbot that can answer HR questions for our handful of remote employees?
2 real searches · 1 real-search pass
NIST AI Risk Management Framework generative AI profile privacy governance chatbot officialGoogle ↗
OBSERVEDOther / navigational
OpenAI API file search vector stores documentation retrieval augmented generationGoogle ↗
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 (2)
Short factOther / navigational100%ComparisonConsequenceReasonDefinitionInstructionYes / no

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
NIST AI Risk Management Framework generative AI profile privacy governance chatbot official Google ↗
OpenAI API file search vector stores documentation retrieval augmented generation Google ↗
  1. File search · developers.openai.com
  2. Retrieval · developers.openai.com

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
NIST AI Risk Management Framework generative AI profile privacy governance chatbot official
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
OpenAI API file search vector stores documentation retrieval augmented generation
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1