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Veronica
A desktop AI that lives on your machine — automating tasks, watching your workflow, and responding in natural language.
Modular AI Systems • Automation • Future Intelligence
Building a scalable, local-first family of AI assistants — starting with a personal assistant on the desktop and expanding into automation and vehicle intelligence over time.
BitByBit Intelligence is a long-term project to design an AI ecosystem made of independent, cooperating agents rather than a single monolithic assistant. Each agent shares a common core and plugin architecture, so new intelligence can be added without rewriting what already works.
Veronica is the first assistant in development — a local, desktop-based AI designed to prove out the core architecture before it extends to automation and vehicle systems.
Every agent is a self-contained module that plugs into a shared reasoning core and API layer.
Designed to run on local hardware and local LLMs first, minimizing dependence on the cloud.
Built to grow from a desktop assistant into automation and vehicle intelligence without a redesign.
Each project below represents a distinct AI agent within the BitByBit ecosystem, at different stages of development.
A local-first desktop assistant that runs on-device with a local LLM. Veronica handles conversation, task automation, and voice interaction without depending on the cloud — the first fully working piece of the BitByBit ecosystem.
An in-vehicle intelligence layer designed to bring the same modular assistant architecture to driving — voice-first controls, diagnostics, and context-aware automation built for the road.
A background automation agent for orchestrating scripts, workflows, and system tasks across machines — extending Veronica's reasoning into unattended, always-on execution.
A vision-capable agent exploring image and video understanding — enabling the ecosystem to see and reason about the physical world, not just text and voice.
An experimental bootable USB Linux system that combines the polished KDE Plasma desktop with a Hyprland session — creating a portable, customizable workspace that can run across compatible computers.
Portfolio
A running log of assistants and agents I've shipped — live builds and works in progress.
One ecosystem, many surfaces. A single modular AI core that extends across desktop, vehicle, and automation systems instead of separate, disconnected assistants.
Local-first by default. Intelligence that runs on your own hardware whenever possible — private, fast, and independent of constant cloud connectivity.
Modular architecture. Every agent shares a common plugin and API layer, so new capabilities and new AI agents can be added without rebuilding the foundation.
A lean, local-first stack chosen for control, portability, and performance on real hardware.