PlatitunPremium
- A raised token allowance for agent reasoning
- Workflow scheduling: agent runs fire on a timetable
- Priority execution for your tasks
- Desktop app automation through the native accessibility APIs
- Email support
Home / Computer control / Lapu AI / Accounts with a subscription
Lapu AI account with a paid subscription
Lapu AI
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Plans
Pro
- Everything in Premium plus a considerably larger token allowance
- Advanced agent workflows
- Faster support
Max
- Everything in Pro plus the maximum token allowance
- Highest-priority execution
- Dedicated support
Teams
- Everything in Max for every member of the team
- A shared usage pool across the whole team
- Unlimited seats, billed per user or per bot
- A team management console and centralised billing
- Priority support
Enterprise
- Everything in Teams on custom terms
- Single sign-on via SSO and SAML
- A custom service-level agreement
- Dedicated bot machines and custom deployment
- A dedicated account manager and advanced security controls
Plan contents as published by the vendor; seller prices arrive at launch.
What you get
A ready Lapu AI account with a paid subscription: install the app on macOS or Windows, sign in and start the agent on your own files right away. Establish whose email the account uses first — the seller's email means access can technically return to them. Remember the agent touches real files and your shell, so review any inherited skills and schedules before the first run.
About the service
A desktop agent for macOS and Windows that works on your own machine: it reads and edits files, runs shell commands and drives other applications through the system accessibility interfaces — Swift on macOS, C# on Windows. Every consequential action, whether a file write, a terminal command or a risky step, needs its own approval, and the whole run stays in an audit trail. Repeat workflows can be packaged as reusable skills and put on a schedule so you never restate the task. The vendor does not name the models: reasoning calls travel through Lapu's infrastructure to a built-in frontier model, while files and tool execution never leave the machine. There is no cloud workspace — only the context needed for a given step is sent out.