AtlasWork, planned itself.

The AI-native, all-in-one work platform. Tasks, projects, CRM, contracts, and analytics in one calm workspace.

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Tools reference

AI

Every AI tool, with the scope it needs, its arguments and the API operation it calls.

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6 tools

Search AI documents

Changes data

atlas_ai_documents_search

Semantic search + cross-encoder rerank over caller-supplied candidate documents. Send a query and a list of { id, text } candidates; returns the best matches ranked by relevance. CPU-only and tenant-scoped. Requires the intelligence:read scope.

Scope
intelligence:read
Calls
POST /v1/intelligence/search
Example prompt
Rank these candidate passages against my question.

Arguments

FieldTypeRequiredDescription
querystringYesThe search query text.
candidatesarray of objectNoDocuments to rank ({ id, text }). Reranked against the query.
limitintegerNo

Recommend AI items

Changes data

atlas_ai_items_recommend

Item-item collaborative-filtering recommendations / next-best-action. Send interaction events and a target user id; returns recommended item ids. Requires the intelligence:read scope.

Scope
intelligence:read
Calls
POST /v1/intelligence/recommend
Example prompt
Given these interactions, what should this user look at next?

Arguments

FieldTypeRequiredDescription
forUserIdstringYesThe user to recommend items for.
interactionsarray of objectYesUser↔item interaction events used to build the model.
limitintegerNo

Get AI tenant settings

Read only

atlas_ai_tenant_settings_get

Read the workspace AI settings. Returns { provider, model, customKeyConfigured }: the model provider and model the workspace uses, or null for the Atlas default, and whether the workspace has its own key configured. The key itself is never returned. Use this to explain which model answers requests in this workspace.

Scope
ai:read
Calls
GET /v1/ai/tenant-settings
Example prompt
Which AI model does this workspace use, and do we have our own key configured?

Arguments

This tool takes no arguments.

Capture AI text

Changes data

atlas_ai_text_capture

Natural-language capture: extract dates, entities, and mentions from free text so a host can turn a sentence into structured task/meeting data. Requires the intelligence:write scope.

Scope
intelligence:write
Calls
POST /v1/intelligence/capture
Example prompt
Turn this sentence into a task with a due date.

Arguments

FieldTypeRequiredDescription
textstringYesFree text to extract entities/dates from.

Generate AI text

Changes data

atlas_ai_text_generate

Grammar-constrained text generation. Provide a prompt (and optional system prompt / JSON schema) to get valid-by-construction output from the local model. Requires the intelligence:read scope.

Scope
intelligence:read
Calls
POST /v1/intelligence/generate
Example prompt
Generate a JSON object matching this schema from the prompt.

Arguments

FieldTypeRequiredDescription
promptstringYes
systemstringNo
maxTokensintegerNo
jsonSchemaobjectNoOptional JSON schema to constrain generation.

Summarize AI text

Changes data

atlas_ai_text_summarize

Summarise a block of text (abstractive when the local LLM is enabled, otherwise extractive). Optionally cap the number of sentences. Requires the intelligence:read scope.

Scope
intelligence:read
Calls
POST /v1/intelligence/summarize
Example prompt
Summarise this meeting note in three sentences.

Arguments

FieldTypeRequiredDescription
textstringYes
maxSentencesintegerNo