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How does a non technical person even begin building custom internal chatbots for a small company that have access to our proprietary company handbook

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

The searches the AI actually ran for this prompt.

SEED QUERY
How does a non technical person even begin building custom internal chatbots for a small company that have access to our proprietary company handbook
2 real searches · 1 real-search pass
no-code internal company handbook AI chatbot knowledge base Microsoft Copilot Studio SharePoint knowledge sources official documentationGoogle ↗
OBSERVED
OpenAI ChatGPT Business company knowledge connectors privacy data not used to train models officialGoogle ↗
OBSERVED

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
no-code internal company handbook AI chatbot knowledge base Microsoft Copilot Studio SharePoint knowledge sources official documentation Google ↗
OpenAI ChatGPT Business company knowledge connectors privacy data not used to train models official Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
no-code internal company handbook AI chatbot knowledge base Microsoft Copilot Studio SharePoint knowledge sources official documentation
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1
OpenAI ChatGPT Business company knowledge connectors privacy data not used to train models official
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1