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Documentation Index

Fetch the complete documentation index at: https://docs.sketricgen.ai/llms.txt

Use this file to discover all available pages before exploring further.

AI Workforce is SketricGen’s internal AI automation workspace for teams. It is designed for multi-agent work inside the platform rather than public widget deployment. If you are deciding between public and internal agents, start with Brand Agents vs AI Workforce. Use AI Workforce when your team needs agents that can plan, use tools and marketplace skills, call sub agents, create files, inspect artifacts, run on a schedule, and work through longer tasks. It is built for agentic workflow automation across internal apps, knowledge, files, and business processes. SketricGen V3 makes AI Workforce much more practical: agents can use a deeper execution harness for long-running work, connect to 2,000+ apps through connectors, install marketplace skills for specialized tasks, and choose from a broader model catalog.

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What AI Workforce Is For

AI Workforce works well for:
  • Research and analysis
  • Content pipelines
  • Sales and outreach workflows
  • Operations and support tasks
  • Data cleanup and report generation
  • Internal knowledge assistants
  • Multi-step work across connected apps
  • Reusable team workflows built from templates and skills

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Longer-Running Runtime

The updated runtime makes AI Workforce more capable than a short chatbot-style flow. For the execution details, see Runs, Schedules, Files, and Artifacts. Runs can:
  • Plan with a todo state.
  • Use connected tools and app actions.
  • Call specialist sub agents.
  • Read attached files.
  • Create artifacts in a run workspace.
  • Move reusable files into an agent workspace.
  • Trigger recurring internal work on a schedule.
  • Continue through longer tasks that may take 10-30 minutes.

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Skills and Connectors

AI Workforce agents can combine three layers of capability:
  • Connectors: give agents access to business apps and actions.
  • Marketplace skills: give agents optimized task playbooks built and curated by other builders.
  • Instructions: tell each agent when to use a skill, when to call a connector, and what a successful result should look like.
This is what makes an AI Workforce flexible. You can search for a skill, install it on the right agent, connect the apps it needs, choose the model that fits the task, and then test the run in the playground. For setup details, see AI Workforce Tools, Connectors, and Skills and AI Workforce Agent Spaces.

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Templates

AI Workforce template library with workflow starting points Templates are starting points for AI Workforce Agent Spaces. Use them when you want a working structure for common internal workflows instead of building every agent, instruction, and tool setup from scratch. A template can include a main agent, focused sub agents, suggested instructions, workflow structure, and tool or connector placeholders. After selecting one, review every agent, connect the required apps, add Knowledge Bases or skills where needed, and test the run with realistic prompts.

Browse AI Workforce templates

Start from the live SketricGen template library, then customize the workflow for your team.

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Agent Spaces

Agent Spaces are the visual workspaces where you configure AI Workforce agents. You configure a main agent, add sub agents, attach tools, select models, test runs, and inspect traces. See AI Workforce Agent Spaces for the builder workflow. Use Brand Agents instead when the main goal is a public website/customer-facing agent.

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AI Workforce Capabilities

AI Workforce can use:
  • Knowledge Bases
  • 2,000+ SketricGen connectors
  • Custom MCP tools
  • API Request tools
  • Web Search
  • Image Generation when enabled
  • Model selection from the supported catalog
  • AI Workforce templates
  • Marketplace skills with source, verification, and usage signals
  • Runs / Schedules for recurring automated work