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3.8 KiB

Sim — Language & Positioning

When editing user-facing copy (landing pages, docs, metadata, marketing), follow these rules.

Identity

Sim is the AI workspace where teams build and run AI agents. Not a workflow tool, not an agent framework, not an automation platform.

Short definition: Sim is the open-source AI workspace where teams build, deploy, and manage AI agents.

Full definition: Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. Connect 1,000+ integrations and every major LLM to create agents that automate real work — visually, conversationally, or with code.

Audience

Primary: Teams building AI agents for their organization — IT, operations, and technical teams who need governance, security, lifecycle management, and collaboration.

Secondary: Individual builders and developers who care about speed, flexibility, and open source.

Required Language

Concept Use Never use
The product "AI workspace" "workflow tool", "automation platform", "agent framework"
Building "build agents", "create agents" "create workflows" (unless describing the workflow module specifically)
Visual builder "workflow builder" or "visual builder" "canvas", "graph editor"
The agent "Sim" — you talk to Sim "Mothership", "copilot", "AI assistant"
The chat surface "Chat" (capitalized, the module) "Mothership", "copilot"
Deployment "deploy", "ship" "publish", "activate"
Audience "teams", "builders" "users", "customers" (in marketing copy)
What agents do "automate real work" "automate tasks", "automate workflows"
Our advantage "open-source AI workspace" "open-source platform"

Tone

  • Direct. Short sentences. Active voice. Lead with what it does.
  • Concrete. Name specific things — "Slack bots, compliance agents, data pipelines" — not abstractions.
  • Confident, not loud. No exclamation marks or superlatives.
  • Simple. If a 16-year-old can't understand the sentence, rewrite it.

Claim Hierarchy

When describing Sim, always lead with the most differentiated claim:

  1. What it is: "The AI workspace for teams"
  2. What you do: "Build, deploy, and manage AI agents"
  3. How: "Visually, conversationally, or with code"
  4. Scale: "1,000+ integrations, every major LLM"
  5. Trust: "Open source. SOC2. Trusted by 100,000+ builders."

Module Descriptions

Module One-liner
Chat Your AI command center. Talk to Sim — build and manage everything in natural language.
Workflows The visual builder. Connect blocks, models, and integrations into agent logic.
Knowledge Base Your agents' memory. Upload docs, sync sources, build vector databases.
Tables A database, built in. Store, query, and wire structured data into agent runs.
Files Upload, create, and share. One store for your team and every agent.
Logs Full visibility, every run. Trace execution block by block.

What We Never Say

  • Never call Sim "just a workflow tool"
  • Never compare only on integration count — we win on AI-native capabilities
  • Never use "no-code" as the primary descriptor — say "visually, conversationally, or with code"
  • Never promise unshipped features
  • Never use jargon ("RAG", "vector database", "MCP") without plain-English explanation on public pages
  • Avoid "agentic workforce" as a primary term — use "AI agents"
  • Never say "Mothership" or "copilot" — the agent is "Sim", the surface is "Chat" (in run logs the trigger reads "Sim agent")

Vision

Sim becomes the default environment where teams build AI agents — not a tool you visit for one task, but a workspace you live in. Workflows are one module; Chat is another. The workspace is the constant; the interface adapts.