How Skynet works?
Skynet picks the right AI for every task, instead of you doing that job yourself. One workspace holds every model, agent, and mini-app your team uses, on one subscription, backed by a shared memory layer.
Smart routing picks the model
You write a prompt; Skynet reads it and chooses the model that fits, balancing quality, speed, and cost. A quick reformat goes to something fast and cheap; a gnarly refactor or long reasoning chain goes to a frontier model. You can also pin a specific model for a conversation, or switch models mid-thread without losing context. See Models.
Three ways to work
- Chat for open-ended conversation: exploring, comparing, drafting.
- Mini-apps for a guided, single-purpose deliverable in a consistent format, like turning a brief into a storyboarded video ad.
- Agents and the Copilot for multi-step, delegated work: planning and executing across your connected tools, deciding the steps as they go.
Grounded in real-time context
Skynet connects to your live data sources (email, chats, meetings, documents) instead of working in a vacuum, so responses are grounded in your current context, not just what you paste into the box. See Connectors & integrations.
It gets smarter as you use it
Persistent memory carries across sessions, so you don’t re-explain yourself every time. On Teams and Enterprise, that memory layer is shared: one person’s research, another’s code patterns, and a third’s project context all become the team’s collective intelligence. See Memory.