User Guide
Day-to-day workflows: composing prompts, dictating with STT, switching reasoning modes, managing chat history, and reading the GPU KPI.
Open →Everything you need to use, understand, and operate your private GPT assistant.
The three documents you need first.
Day-to-day workflows: composing prompts, dictating with STT, switching reasoning modes, managing chat history, and reading the GPU KPI.
Open →Step-by-step instructions to install dependencies, configure credentials, and run the stack locally on macOS.
Open →Candidate profiles and minimum skills required to build, install, or maintain the project at home.
Open →How the system is built and the principles behind it.
How the frontend, Flask backend, neural speech-to-text, and Ollama proxy fit together under the hood.
Open →Design constraints, local-first philosophy, and coding standards that govern the project.
Open →The story behind this AI-assisted app — who, why, and how it evolved over time.
Open →Benchmark reports, live run monitoring, and usage analytics.
Main report with human guidance: methodology, caveats, seven-axis radar, and final model ranking.
Open →Independent analysis by Claude from raw benchmark data, without human guidance or framing.
Open →Real-time benchmark execution: task progress, telemetry charts, GPU and throughput metrics.
Open →Admin-only usage telemetry: unique users, geography map, API groups, and full event table.
Open →