One team of people and AI agents.
Stellr is the workspace where they work from one shared memory. Four moves, four screens, one record.
Sources
Bring it in.
Work arrives from many places. In Stellr it lands in one.
Send a request by email, or bring in past WhatsApp conversations. Each item lands with its context and a mark of where it came from.
AI agents and roles
Assign a person or an AI agent.
An AI agent is a piece of software that does a job for the team, with a person responsible for it. People and AI agents sit side by side, each with a role and an owner. You see who answers for what.
A role is a job that stays. Who fills it can change. The work and the memory belong to the workspace, not to whoever is passing through it.
Flows and approvals
Run it as a plan.
A request becomes a plan with steps and owners, some of them people and some of them AI agents. One person approves it before it runs. That approval is human judgement, written down.
Every step is recorded as it happens: who did it and what was decided.
Memory
The team changes. The memory stays.
An AI-native workspace is one team of people and AI agents, working from one memory. Stellr is that workspace.
People move on, and so do AI agents: a task is assigned, worked and handed back.
Stellr keeps what they learned in one shared memory. It records the work as it happens: the request, the plan, who did each step, who approved it and where each answer came from. Nothing has to be written up afterwards.
Every answer from the memory shows its source. You can check it, and undo what was learned in error.
Stellr is designed so that, in time, the memory holds not only what the organisation knows but how it behaves.
Every day
Chat and settings.
Chat is where you ask, assign and approve. The people and organisations the work involves are in Memory. Settings is where you decide who may see what.
Three lenses
The same product, from where you sit.
The strategist
AI assistance makes each person a little faster and the organisation no wiser. Stellr keeps what the team learns, so the advantage compounds.
The technologist
It sits alongside the tools you have. The memory lives in the workspace, not in the model, so models can change.
The chief executive
A person answers for every AI agent. One person approves every plan. Every AI agent action is recorded. Try it with one team, free.