NEOPOLIS AKADEMY
AI assistant for querying HubSpot in natural language
Guided practical session demonstrating how to build an AI assistant that queries HubSpot in natural language to support sales tasks. Implemented with n8n, a Gemini model and HubSpot; uses fictional data and human checks to ensure safe interactions.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
This practical exercise covers designing and configuring an AI assistant that queries HubSpot using natural language. The workflow connects n8n, a Gemini model and the HubSpot API to fetch and synthesize CRM information.
Focus is placed on safe setup using fictional data, implementing controls and human validation to prevent unwanted automated actions. Intended audience: senior salespeople, sales managers and HubSpot administrators.
STEP BY STEP
Course programme
01AI assistant for querying HubSpot in natural language
Create an AI assistant that queries HubSpot in natural language using n8n and Gemini. The lab shows environment preparation, translating human queries into HubSpot API calls and iterating logic to deliver usable responses for sales teams.
Objective: enable users to query HubSpot in natural language and receive structured answers.
Prepare environment: set up n8n, Gemini access and HubSpot permissions.
Build progressively: translate prompts to API calls, parse responses and produce readable outputs.
Checkpoint: verify token security, response validation and permission handling.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page