Jacob Furtaw
I build privacy-first AI agents — transparent, local, and reliable enough to use every day.
Featured Projects
Selected work from the last few years

Cloak AI 2.0
Cloak AI 2.0 is a fully local, privacy-first AI workspace built for real productivity. It runs on Ollama with seamless dynamic model switching and features reliable tool calling with exceptional transparency — every reasoning step and tool invocation is visible in real time inline and through the Agent Activity sidebar, while sources appear in a dedicated panel. The agent can search the web, open a link you paste, pull a YouTube transcript, look up stocks and currency exchange rates, search your own documents, find images, and produce a weather forecast with an animated visualization. It can also run sandboxed Python and TypeScript, build interactive web pages with live inline previews, remember facts across sessions, and load specialist skill playbooks when a task calls for them. It will craft and plan and take multiple tool steps when a question needs them, and you can watch the plan unfold in realtime. The system includes a proper RAG implementation using ChromaDB with bge-m3 embeddings, a reranker for better hits, and named collections that users can create, switch between, and manage directly from the UI. Documents can be added as one-shot context or ingested into persistent knowledge bases. Text files and Office docs are read locally; scanned PDFs go through NVIDIA Nemotron Parse. Multimodal input is first-class: users can attach up to 5 images and documents in a single message (with drag & drop support), and the agent can reference previous images across turns using explicit labels. The agent can also search the web for images and display them inline in responses. Voice input uses Whisper Large v3 Turbo. Everything runs locally — chats never leave the machine.

Chat RAG
Advanced Retrieval-Augmented Generation (RAG) coding assistant with support for multiple LLMs, documents, and GitHub repositories.

Agent Qwen
Multimodal AI agent designed to emulate a Geek Squad Consultation Agent. Built on Qwen2.5-Omni-7B that can understand and respond with text, images, audio, and video. Designed as a Geek Squad-style troubleshooting assistant with voice output.