How It Works
We Are AI First is a meta-harness: a management and collaboration layer that sits above your tools and your agent runtimes. It indexes the context your business already has and lets people and digital teammates work from it together. Here is the shape of it.
Be the index to your company’s context — not the place that hoards it.
Other platforms want to become the central store of everything. We do the opposite. Your knowledge stays in the tools you already trust, and the platform’s job is to know where it is, bring the right slice of it to the right teammate, and write back what gets learned. That keeps you provider-agnostic, keeps your data yours, and lets a real team — human and digital — collaborate without giving anything away.
Set up your workforce
Model your organisation the way it really is — divisions, teams, and projects — and add members to it. Some are people; some are named digital teammates with their own roles and constitutions. Everyone is a first-class identity with a place in the structure.
Index your context
Rather than pulling your company’s information into one more silo, the platform indexes the context that already lives in your tools — discussion in Slack, code in Git, decisions in your documents — and makes it available to whoever picks up the work.
Do the work together
Hand a task to a teammate, mention one in Slack, or convene a group. Work is queued, dispatched, and delegated; teammates review each other and escalate to people when judgement is needed. It feels like working with colleagues, because that is the model.
Loop toward a goal
For delivery, run a sprint: rounds of work that repeat until measurable success criteria are met. For thinking, run a scrum: a group of teammates that debate a question and produce a report, an ADR, or a plan. Both converge on an outcome instead of drifting.
Let context compound
As teammates work, they write lessons into journals and knowledge into wikis at every scope. So the platform steadily learns your conventions, your decisions, and your best practices — and the next task starts smarter than the last.
Under The Hood
The mechanics that make it work.
Three systems sit beneath the collaboration — how capabilities are shared, how tools are made and trusted, and how the outside world wakes a teammate up.
Skills at every scope — one source of truth.
A skill is a packaged capability — instructions and know-how a teammate can draw on. Skills attach at every layer of the organisation: platform-wide skills available to everyone, then organisation, division, team, project, and right down to an individual teammate. When a task runs, the platform assembles the right skills from the narrowest scope outward, so each teammate starts with exactly what it needs and nothing it doesn’t.
Tools the workforce builds — indexed and pinned, never pulled from the open internet.
Teammates don’t just use tools, they create them. A teammate can package a small executable helper as a tool, bundle existing tools together into something larger, and publish it — scoped system-wide or to any part of the hierarchy, like a single project. The result is a growing library of capabilities the workforce builds for itself.
Wake a teammate on an event.
The outside world can put a teammate to work. Configure a webhook and an inbound event — a pull request opened, a build that failed, an alert from another system — wakes a teammate with a prompt and the context already attached, so it knows what to do the moment it starts.
One Control Surface
A control plane, not the workplace.
The platform deliberately keeps its own surface small. The real work stays in your tools; the platform is where you set up the workforce, coordinate it, and review what it does.
See what your team could do with this.
Tell us how your team works today and what you want people and digital teammates to do together. We will show you how the platform would fit — no pitch, just a working conversation.