Specialist agents
Reusable specialists can carry instructions, tools, knowledge, and benchmark history so teams can reuse configured behavior instead of starting from an empty prompt each time.
The AI Platform is a provider-agnostic AI superapp for teams that work with multi-agent and multi-human workflows. It combines specialist agents, model routing, shared workspaces, and mini app building for people and organizations using AI in day-to-day operations.
The AI Platform is a provider-agnostic AI workspace for teams that build and operate with agents. It is designed around multi-human, multi-agent collaboration rather than a single-user chat experience, with shared channels, reusable specialists, and workspace-wide knowledge.
The platform combines model routing, specialist agents, projects, tasks, and tools in one environment. According to the product site, teams can route across models, turn repeatable work into AI-enabled mini apps, and use the workspace for chats, code edits, browser-based context gathering, and shared operational work.
Reusable specialists can carry instructions, tools, knowledge, and benchmark history so teams can reuse configured behavior instead of starting from an empty prompt each time.
The platform can route work across hosted, local, private, and OpenAI-compatible model sources, letting teams choose providers based on quality, latency, cost, or privacy requirements.
Teams can work in 1:1 chats, public or private channels, and projects that bind repositories, files, and chats together for context-aware collaboration.
The workspace includes a VS Code-style editor with syntax highlighting, LSP-backed completions, and Git operations, plus a Chromium browser for previewing live sites and passing page context to specialists.
A workspace-wide knowledge store captures decisions, docs, and reference material so specialists can pull context automatically while responding or working on tasks.
Repeatable specialist work can be turned into workflows with scheduled runs, message-triggered runs, or one-click execution, and the site also describes a mini app builder for packaging repeatable work into apps teams can run.
A product, engineering, or operations team can use shared channels to coordinate with both humans and specialists on the same task, instead of moving work between separate chat tools.
Developers can keep repositories, files, chats, and code edits in one workspace while specialists use project context and the built-in editor to help with implementation and review.
Teams can convert recurring specialist tasks into workflows that run on a schedule, on message triggers, or from a button, which is useful when the same process needs to be repeated consistently.
Groups can store decisions, docs, and references in the knowledge garden so specialists have access to workspace context when answering questions or drafting work.
Organizations can package repeatable work into mini apps so teams can run the same AI-assisted process without rebuilding the workflow each time.
It is a workspace for teams that use AI agents, shared channels, and model routing to handle collaborative work, coding tasks, workflows, and internal knowledge.
Yes. The pricing and product pages describe hosted models, local models, private endpoints, OpenRouter models, and OpenAI-compatible endpoints.
Yes. The pricing page lists a Free solo workspace for people exploring AI in a real workspace.
Yes. Paid plans add teammate seats and shared channels, including 1:1 chats and team channels.
Yes. The pricing page describes workflows that can run on a schedule, when a chat message arrives, or from a one-click button.
Traffic data is for reference only.
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