Documentation

Everything you need to use, understand, and operate your private GPT assistant.

Learn - Get Started

The three documents you need first.

User Guide

Day-to-day workflows: composing prompts, dictating with STT, switching reasoning modes, managing chat history, and reading the GPU KPI.

Open →

Installation

Step-by-step instructions to install dependencies, configure credentials, and run the stack locally on macOS.

Open →

Who Is This For

Candidate profiles and minimum skills required to build, install, or maintain the project at home.

Open →

Project - Technical Reference

How the system is built and the principles behind it.

Architecture

How the frontend, Flask backend, neural speech-to-text, and Ollama proxy fit together under the hood.

Open →

Engineering Principles

Design constraints, local-first philosophy, and coding standards that govern the project.

Open →

About This Project

The story behind this AI-assisted app — who, why, and how it evolved over time.

Open →

Perf - Performance & Observability

Benchmark reports, live run monitoring, and usage analytics.

Benchmark (Guided)

Main report with human guidance: methodology, caveats, seven-axis radar, and final model ranking.

Open →

Benchmark (Claude)

Independent analysis by Claude from raw benchmark data, without human guidance or framing.

Open →

Live Monitor

Real-time benchmark execution: task progress, telemetry charts, GPU and throughput metrics.

Open →

Analytics Dashboard

Admin-only usage telemetry: unique users, geography map, API groups, and full event table.

Open →