Private AI Campus: Managed Workspaces for Real AI Systems

Work that continues

Private AI Campus is Sell.Systems’ own managed workspace option for development, learning and automation. It provides a place to build and inspect ongoing technical work.

Returning to a script means understanding the decisions behind it. For work spanning sessions, we recommend keeping instructions, source references and unresolved decisions with the files. That context helps a person or AI assistant understand what to check before making the next change.

A managed place to build

The managed option supplies a Linux workspace that can support agreed browser, terminal and workflow tools for editing, running scripts and checking outputs. Access, support and operating responsibilities are agreed around the work.

Choose the deployment

Sell.Systems hosting is optional. Agency delivery can start on your servers, in your cloud account or in your data centre, with access and handover agreed before work begins.

Choose model processing separately. A customer-hosted application may still send data to an external API. Provider compatibility matters; local models need suitable hardware, licences and quality assessment.

For an illustrative first workflow, take an enquiry becoming a customer record. Proposed acceptance checks are a saved record with a named owner for the next step for each complete enquiry, and a visible review queue for incomplete enquiries.