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HaxMind

Internal AI assistant

One chat interface over internal SOPs and live data from five business tools, replacing manual lookups across all of them.

Role
AI engineer
Contribution
Built the assistant
Context
Client: HAX Consulting
InputsCoreOutputsInternal SOPsMaqsam callsFathom transcriptsGoHighLevel (MCP)AsanaEmployee recordsRAG agentpgvector + LLMChat answers
System overviewRAG · LLM agents · MCP · Supabase · pgvector · GoHighLevel · Asana API

Overview

HaxMind is an internal chat assistant built for HAX Consulting. It combines retrieval-augmented generation over the company's internal SOPs with live data from the tools the team already uses: Maqsam and Fathom call transcripts, GoHighLevel, Asana and employee records.

01 The problem

The answer to an everyday question was spread across five separate tools. Finding it meant manual lookups in each one, plus searching SOP documents for the right procedure.

02 The approach

SOPs are embedded and stored in Supabase with pgvector for semantic retrieval. An LLM agent combines that context with live data from Maqsam and Fathom call transcripts, GoHighLevel (connected through MCP), Asana and employee records, and answers in a single chat interface.

Highlights

  1. 01RAG over internal SOPs, with embeddings stored in Supabase using pgvector
  2. 02Live call data from Maqsam and Fathom transcripts
  3. 03GoHighLevel connected to the agent through MCP
  4. 04Asana tasks and employee records available in the same conversation
  5. 05Replaced manual lookups across five separate tools with one chat interface

Stack

  • RAG
  • LLM agents
  • MCP
  • Supabase
  • pgvector
  • GoHighLevel
  • Asana API

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