Glossary

The terms used across the product. They stay in English in every language, so teams share one vocabulary.

Updated September 25, 2026 · 2 min read

Terms

TermMeaning
CanvasThe visual editor where the workflow is drawn.
Root OrchestratorThe workflow's entry point: global behavior rules, analytical engine and token budget. One per workflow.
Sub-AgentA specialist agent the Root (or another Sub-Agent) delegates to.
SkillA tool an agent can call, defined by a function name, a description and a JSON Schema.
ReferenceContext for an agent: a document, data or a URL, with reading guidelines.
ConnectorAccess to an external tool through an MCP server and a credential kept in the Vault.
Pre-FlightThe live validation panel: every problem that would block an export or a run.
BlueprintThe files compiled for a target environment (for Claude Code: CLAUDE.md, Skills, .mcp.json).
ASTThe workflow as structured data (JSON): what the Canvas edits, what gets exported and run.
CLAUDE.mdThe instructions file Claude Code reads at the root of a project.
MCPModel Context Protocol: the open standard agents use to call external tools.
OAuthSign-in on the vendor's site that gives the app a token, without sharing a password.
BYOKBring Your Own Key: Live runs use your organization's Claude API key.
Extended ThinkingReasoning the agent's brain does before it answers, with an effort level.
ArtifactA self-contained output (document, code, table) the console renders on its own.
SSEServer-Sent Events: how the console receives a run's events live.
PayloadThe data passed along a link or a tool call.
WebhookA call a service makes to the app when something happens (e.g. a payment).

Business vocabulary

The interface speaks the language of the business. For technical readers, this is what each name corresponds to, and how it works in this product:

In the productTechnical termHere
Behavior rulesSystem promptThe instructions an agent follows on every run: the Root's global rules, each Sub-Agent's own.
Agent brain (analytical engine)Model, LLMThe Claude model that powers an agent: Claude Opus 5 unless a Sub-Agent sets its own.
Company MemoryKnowledge base, vector store, embeddingsReferences: documents and data given to the agents as context. There's no vector store and no embeddings.
Document readerText splitter, reading instructionsHow an agent reads a Reference (tables, visuals, structure, code). Documents are read whole: they aren't split into chunks.
Database lookupRAG pipelineQuerying company data through a Skill connected to your database (Postgres, MongoDB, Supabase): a tool call, not a retrieval pipeline.

Why these stay in English

Architecture words drift when each team translates them its own way. Keeping them identical in every language means a Portuguese and an English team can read the same Canvas, the same Blueprint and the same docs without a translation table.