What is an AI employee?

• Chatbot: answers what you ask. You steer every step and put the result together yourself.
• AI agent: plans its own steps toward a goal and uses tools; it searches the web, writes files and acts in an app.
• AI employee: an agent with a defined role, skills, tool permissions and rules. What it can do, and what it can't do without approval, is clear.
• AI team: a setup where a manager turns the goal into a plan, employees hand work to each other and results are checked.

• Role and responsibility: what work it does and what it answers for.
• Skills: knowledge of how to do that role's work.
• Tool permissions: which tools it may use, such as web search, image generation or GitHub.
• Memory: brand knowledge, earlier work and decisions in the workspace.
• Rules and approvals: human approval for steps such as publishing, merging, spending and deleting.
• Budget limit: the most a job may spend.

In LyngL you tell the Manager your goal. The Manager decides which departments and employees are needed, orders the tasks, starts the ones that can run in parallel at the same time and marks the steps that need approval. Employees hand work to each other, and results are checked before they reach you. You watch all of it in the Living Office, with the team at work in an office.

Every workspace starts with a ready team:

• Atlas (research analyst), Aria (product manager) and Nova (creative director).
• Codey (full-stack engineer), Quinn (QA engineer) and Forge (DevOps engineer).
• Mira (growth strategist), Echo (content manager), Lumi (video director), Pixel (media producer) and Max (ads manager).
• Iris (data analyst), Sage (support specialist) and Otto (operations coordinator).

AI employees are strong at research, drafting, content and image production, writing code, reporting and repetitive work. They shorten production work that would take hours, and they work whenever you need them.

Decisions that can't be undone should stay with people: spending money, publishing, going live, deleting data. AI can also make mistakes, so important figures and claims need checking. That is why LyngL puts these steps behind approval by default, enforces budget limits as hard ceilings and records every step in the audit log.

AI employees add the most capacity where you can't build a separate team: social media content, research, reports, documents, code. Customer relationships, strategy and the final decision stay with you and your team. Used well, your team spends less time on repetitive work and more on decisions.

• Open a free account; no credit card needed.
• Write the outcome you want in your own words.
• Review the plan and the most the job can spend, then approve.
• Watch the team in the Living Office, and decide on the steps that need approval.