Give a team shared access to models, prompts, and knowledge

What is AICamp?

AICamp is a collaborative workspace for teams using AI across different roles. It combines model access with shared prompts, custom agents, and company knowledge, so useful approaches can be reused instead of remaining in individual chat histories. Projects organize conversations and resources around a client or task. The platform also includes administrative controls, making it relevant to organizations that need a common structure for adopting AI tools.

Manage reusable context and team access

Teams can use their own provider API keys or select models through AICamp's ModelHub. The official site describes importing knowledge from Drive and other storage, creating private groups, sharing prompt libraries, and assigning member permissions. Usage insights provide a view of adoption and cost. Data retention settings and regional model choices are also presented as configuration options.

Turn one successful task into a shared practice

Choose a recurring task with a clear standard of quality, such as preparing a client brief from approved notes. Save the prompt with an example of the expected output and a short explanation of when it should be used. Restrict its knowledge sources to the right group. Review several outputs together before expanding access, then update the shared instructions when the team's process changes.

Features to explore

• Multi model team chat
• Shared prompt libraries
• Custom agents and knowledge
• Project and group organization
• Permissions and usage insights

Who is AICamp for?

Useful for organizations moving from individual AI experimentation toward shared working practices. It is particularly relevant when departments need different context and permissions but want to reuse effective prompts and understand how the tools are being used.

Before you get started

Verify provider data terms, regional processing, and permission behavior before adding sensitive knowledge. The site describes some certifications as being obtained, so confirm current evidence instead of assuming every advertised security standard is already certified.