Stinger Teams lets a business run several AI models as coordinated team members, each with its own workspace, backed by a shared resource vault and a routing layer that sends work to the right model.
Businesses adopting AI end up with separate tools, separate logins, and separate context for every model they use — nothing shares information, and someone has to manually decide which tool handles which task. Stinger Teams brings multiple AI models into one platform with shared resources and automatic routing, available as a web console or a standalone desktop app.
Add, configure, and organize multiple AI models as named team members within a single platform. Each one is managed like a team member — with defined roles and access — rather than as a disconnected external tool.
Each AI team member operates in its own dedicated workspace, keeping its context, files, and conversation history separate from the others. Work stays organized model by model, without one AI's context bleeding into another's task.
A central vault holds documents, data, and reference material that any team member can draw on, so information gathered by one model is available to the rest. No re-uploading the same files into separate tools for every AI in use.
Route a task to the right AI model with one action — the orchestration layer directs work based on the task at hand instead of requiring a manual choice every time. Available in the web console and in the standalone downloadable desktop app.
Shape how every model thinks — before it talks to anyone
Write a system prompt once. Every AI team member runs it. Define tone, persona, knowledge boundaries, and behavior rules — then test live before deploying. No coding, no config files. Just write what you want your AI to know.