About BusyBot
What BusyBot is
BusyBot is one workspace for the frontier AI models. You can chat with GPT, Claude, Gemini and Grok from a single place and switch models mid-thread without losing your context, or use Burst to send one prompt to every model at once and compare their answers side by side as they stream in.
It is also where those models get work done. You build workflows on a drag-and-drop canvas that connect the services you already use — 452 nodes today — agents that plan and carry out multi-step tasks with their own instructions, memory and tools, and knowledge bases that ground answers in your own documents. Agents can run your saved workflows as tools, so the two work together. The concepts page explains how the pieces fit.
How it is built
BusyBot runs on its own Kubernetes cluster in the United States. The credentials you connect are encrypted at rest with AES-256-GCM before they reach the database, are never written to logs, and are checked against the account that owns them every time they are used. Code you run in a workflow executes sandboxed: V8 isolates for lightweight JavaScript, container-level sandboxing for untrusted code. Usage is measured on three meters — model tokens, workflow compute and storage — and all three settle into one credit balance, so there is one bill to read instead of three. The details are on our security and pricing pages.
Why we built it
A large language model on its own is pure intelligence: brilliant, and idle. It can answer almost anything and act on none of it. We built BusyBot to bring that intelligence to life. We wanted every frontier model in one place, with our context following us from one model to the next instead of being pasted into another tab, and we wanted those models to do the work rather than describe it — through custom agents, automated workflows and knowledge that stores and recalls, running on a private cloud wired into the tools people already work in.
Where we are and how to reach us
BusyBot is based in Denver, Colorado, USA. Email us at ben@busybot.net, use the contact page, or book a demo.
Last reviewed .