Dart

Dart is a workplace for creating, connecting and orchestrating AI agents alongside human teams, with tasks, context and handoffs shared across tools such as coding agents. Organizations should connect systems with least privilege, define agent roles and boundaries, protect repository and customer data, test handoffs and outputs, configure approvals and rollback, monitor cost and retain accountable human ownership.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, financial data, voice and visual details, preserve originals and version history, and retain accountable human approval before publication, investment, customer contact, deployment or operational action.

A free plan is available and paid access starts from approximately $8 per user per month. Users, agents, tasks, integrations, automations, storage, model usage, renewal, taxes and enterprise controls vary.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, likeness, voice and commercial rights, training and retention terms, renewals, refunds, platform rules and applicable law. Financial, voice, customer-service, workplace, biometric, retail and geospatial workflows require qualified human review.