Spaces

Spaces are AI-native workspaces designed for team and project collaboration. They serve as the natural forum where knowledge workers collaborate with both humans and AI agents. Unlike traditional tools that force teams to rebuild setups across multiple tabs, Spaces bundle everything needed for work in one place.

Think of Spaces as "the place work happens" for modern teams. They bring together groups of people, AI agents, integrations, critical documents, and contextual instructions. This approach mirrors how knowledge work actually happens—messy, modular, and collaborative—rather than forcing teams into rigid structures.

Spaces differ from traditional collaboration tools by being composable and AI-ready from the ground up. You can interact with a Space through chat, scheduled automation, or API. You can also attach a Space to other workflows, temporarily or permanently including its contents wherever needed.

Spaces function as intelligent containers that adapt to how teams actually work, not how software thinks they should work.

Resource Bundling

• Spaces combine multiple resource types into a single workspace that travels with your team
• Teams can include people, AI agents, third-party integrations, and essential documents in one location
• Each Space can be customized to include only what that specific team or project needs
• Resources remain accessible and organized without rebuilding the same setup repeatedly

Context Engine

• Context supplies AI with the right scope for each workspace, including what the team works on and how they perform tasks
• The system identifies which sources are authoritative for that specific Space
• AI delivers more accurate and repeatable results without requiring perfect prompting every time
• Teams can operationalize AI capabilities across the organization with consistent guidance

Flexible Composition

• Spaces can be referenced by multiple teams, allowing shared resources without duplication
• A marketing team might use a Customer Stories Space that the sales team also references
• Teams can create temporary project Spaces that dissolve when work completes
• Departmental Spaces like HR can affect everyone but only activate when needed

Interaction Methods

• Users can engage with Spaces through conversational chat interfaces in the application
• Scheduled automation runs workflows at predetermined times without manual intervention
• API access enables programmatic interaction for custom integrations and advanced use cases
• Spaces can be attached to other workflows as temporary or permanent inclusions

Modern Spaces leverage AI to transform collaboration from a personal chat tool into a system that entire companies can run work through. The workspace and context engine work together to make AI practical for real business operations.

Team Collaboration Hubs
Spaces create dedicated environments for departments like marketing, sales, or product teams. Each Space includes the specific agents, integrations, and documents that team needs. Members access everything relevant to their work without searching across disconnected tools. This centralized approach reduces setup time and keeps teams focused on outcomes rather than configuration.

Cross-Functional Project Coordination
Organizations use Spaces to bring together people from multiple departments for specific initiatives. A product launch might include marketing, engineering, sales, and customer success in one Space. The Space contains all project documentation, relevant AI agents, and integration points. When the project ends, the Space serves as a complete archive of decisions and outputs.

Knowledge Repository Management
Companies build Spaces as centralized knowledge bases that multiple teams reference. A Customer Stories Space might contain case studies, testimonials, and success metrics. Both marketing and sales teams access this Space when needed. This approach ensures everyone works from the same authoritative sources without duplicating content.

Governance and Access Control
Spaces provide clear boundaries for who can access what information and which actions are permitted. IT and compliance teams define Space membership and permissions at the workspace level. This structure makes it easier to manage data access, maintain security standards, and audit AI interactions. Organizations gain visibility into how teams use AI while maintaining appropriate controls.

Workflow Automation
Teams use Spaces to automate recurring processes with AI agents and integrations working together. A customer onboarding Space might automatically route documents, trigger notifications, and update systems. The Space maintains context about the process, ensuring consistent execution. This reduces manual work and allows teams to scale operations without adding headcount.

Eliminates Repetitive Setup Work
Teams waste hours rebuilding the same configurations every time they start similar work. Spaces solve this by preserving the complete setup—people, agents, documents, and instructions—in one reusable workspace. When someone needs to do similar work, everything is already configured. This saves time and reduces errors from inconsistent setups. Teams can focus on the actual work instead of preparation.

Makes AI Practical for Organizations
Generic AI tools require perfect prompting and produce inconsistent results across teams. Spaces provide AI with the right context automatically—what this team does, how they work, and which sources to trust. Results become more accurate and repeatable without extensive training. Organizations can deploy AI capabilities that actually improve operations rather than creating new problems.

Enables True Collaboration Between Humans and AI
Most tools treat AI as a separate chat interface disconnected from real work. Spaces integrate AI agents directly into team workflows alongside human collaborators. Agents access the same documents, follow the same processes, and contribute to the same outputs. This creates a natural working relationship where AI augments human capabilities. Teams accomplish more without replacing human judgment and creativity.

Provides Governance Without Bureaucracy
Companies struggle to control AI usage while keeping teams productive. Spaces offer clear boundaries for access, permissions, and allowed actions at the workspace level. IT teams can manage security and compliance without micromanaging every interaction. Audit trails show how teams use AI within appropriate guardrails. Organizations gain control without slowing down innovation.