Every model, one assistant
Point it at Anthropic, OpenAI, Google, Mistral or a local model — and switch any time. Your conversations, apps and skills stay put.
One assistant.
Your whole workspace.
The alexandr assistant is model-agnostic and workspace-native — it works with the model you choose, inside the documents, apps and data you already have.
- Any model provider
- Acts in your apps & files
- Builds apps on request
- Skills & memory
What it can do
More than answers: the assistant lives inside your workspace runtime, with real hands on your files, apps and tools.
Works in your workspace
It's not a chat window bolted on the side. The assistant reads and edits your documents, sheets and files, and drives the apps you already use.
Builds apps on request
Describe the tool you wish you had. The assistant generates a real app — installed in your workspace, yours to keep and refine.
Learns your skills
Teach it how your team does things once, as a skill. From then on it follows your playbook instead of improvising.
Yours, on your terms
The assistant runs inside your own workspace runtime, not on a server of ours. Your files and prompts stay in your boundary.
Ask. Do. Delegate.
A conversation that turns into work that turns into a habit — the assistant grows from answering to acting to running things for you.
Ask
Start in plain language — a question, a task, a half-formed idea. The assistant answers with your workspace in context, not from a blank slate.
Do
It acts where the work lives: drafts the doc, updates the sheet, files the records, builds the app. You watch it happen in your workspace.
Delegate
What worked once becomes a skill — your playbook, written down. The assistant follows it from then on instead of improvising.
The assistant runs inside your own workspace runtime, not on a server of ours — so your files and prompts stay in your boundary. Organizations who need it inside their own infrastructure run it on-premise.