Getting started
Vorenq is an AI workforce for your company: you hire AI employees, hand them real work, and stay in control of everything that leaves the building. This chapter takes you from a fresh account to your first finished task.
Create your workspace
At signup you name your workspace and describe what your company does in a sentence or two. That description becomes the company profile (editable later under Settings → Workspace) — your manager and every employee read it as ground truth, so work is tailored to your business from the first conversation.
You can also pick an industry package: it installs a starter team, example tasks and fitting settings for your trade. And you tell Vorenq which software you already use — those tools appear pre-starred on the Integrations page, and the right employees get access to them.
Meet your team
Every workspace starts with a small starter team. Each member is a specialised AI employee with a role, instructions and a model — rename, edit or replace any of them, or hire more whenever you like (see Hiring & tuning your team).
Your home page shows the roster, what's running, and a composer to hand anyone a task.
- 1Type what you need here, as if you were writing to a person. ⌘/Ctrl + Enter sends it.
- 2Pick who does it — click one name. The team lead (first card) splits bigger jobs across the right people by itself.
- 3Not sure who or how? Open “Manager” in the sidebar — describe the problem and it comes back with a plan.
- 4“Hire agent” opens the marketplace of ready-made specialists.
Your first task
The fastest way in is the manager: open Manager and describe what you need in plain language — it proposes who should do the work, and you approve with a click.
Prefer to steer yourself? Pick an employee on the home page, write a short brief (attach images or PDFs if useful) and start. The work runs on our servers — you can close the tab and come back to the result. Ready-made example briefs live on the Guide page under Start from an example.
How the pieces fit together
Five words carry the whole model: employees do the work, teams coordinate it, automations decide when it runs, projects collect what comes out — and the Library keeps all of it findable.
- An employee is one AI specialist; departments organise the roster like an org chart.
- A team is a working cell around one lead: hand the team a job and the lead splits it among the members.
- A run is one unit of work. Automations start runs without you — on a clock (schedule), on an event (reflex), or as a multi-step workflow.
- A project is an initiative with a goal: work dispatched into it shares the project's context, and its results — notes and files — collect on the project page.
Teams and projects are complementary, not rivals: the team is who works together, the project is what they're working toward. A one-time initiative («create a marketing plan») fits a project with a workflow attached and run once; a standing rhythm («weekly newsletter») is a plain workflow — attach it to a project only when its output belongs to that initiative.
Three languages, one product
The entire product works in English, German and French — switch with the language control in the header. Your employees write deliverables in whatever language you ask for.
The bell in the header collects everything that needs your attention: approvals, finished runs, failures.