SketricGen Core Concepts

SketricGen combines product structure, agent configuration, runtime activity, and human control. These definitions describe how the current platform works.

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Teamspaces and Projects

A Teamspace contains members, roles, shared plan resources, and one or more Projects. A Project scopes agents, conversations, connections, files, onboarding state, and collaboration. Always confirm the selected Project before creating or changing an agent.

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Adaptive Onboarding

Adaptive Onboarding is a saved Project conversation that recommends a useful first automation. It can use an optional public website, business goals, public research, and the live template catalog.

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Agent Space

Agent Space is the live operational workplace for a Project. It shows agents, active work, schedules, collaborators, and human-input requests. Agent Space does not define the internal agent graph.

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Agent Build

Agent Build defines how one agent works. It contains the main agent, optional sub-agents, instructions, models, tools, skills, notes, and connections.

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Playground

Playground is the Run tab inside Agent Build. It manages test conversations, live activity, human input, file attachments, workspace artifacts, and conversation history.

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Main Agents and Sub-Agents

The main agent receives the user’s request, decides how to handle it, uses tools, delegates to sub-agents, and returns the final answer. A sub-agent is a specialist called by the main agent. It does not talk directly to the user and cannot have its own sub-agents.

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Instructions and Models

Instructions define an agent’s identity, responsibilities, process, boundaries, tool rules, escalation, and output expectations. The model provides the underlying language and reasoning capability. Model selection affects capabilities, speed, cost, context, and supported media.

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Tools, Connectors, and Skills

A tool performs an action or retrieves information. Examples include File Search, Web Search, API Request, Structured Output, and custom MCP tools. A connector is an approved connection to an external app and its actions. Access can be scoped to a Project and may use a managed connection or credentials supplied by your Teamspace. A skill is reusable task guidance and supporting resources attached to an agent. Skills improve how an agent performs a type of work; they do not automatically grant access to an external app.

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Knowledge Bases

A Knowledge Base stores approved website, document, text, or Q&A content that an agent can retrieve. Knowledge Bases help keep answers grounded in your information.

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Runs and Schedules

A run is one execution of an agent. It can contain model work, tools, sub-agents, files, messages, and human-input pauses. A schedule starts repeatable work at a configured time. Test the agent manually before relying on scheduled execution.

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Files, Workspaces, and Artifacts

Project files can be available across agents in a Project. An agent workspace persists reusable files across conversations for one agent. A conversation or run can also have its own working files. An artifact is a file or structured result created during work, such as a report, spreadsheet, document, image, or exported dataset.

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Human Input

An agent can pause a run and ask a permitted user for a choice, clarification, confirmation, or approval. Agent Space shows these runs under Needs attention. Human input gives people control over uncertain or consequential steps. It is different from a public-channel handoff to a support representative.

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Traces

A trace records how a run progressed, including agent steps, tool calls, sub-agent calls, errors, latency, and credit usage. Use traces to explain an outcome and improve the Agent Build.

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Brand Agents

Brand Agents are customer-facing agents with website and brand context, Knowledge Bases, controlled tools, conversations, leads, and deployment settings. They are separate from the internal AI Workforce experience.