Work on Repeat vs Relevance AI

Relevance AI presents agents and AI workforces for coordinating recurring or queued tasks; its Tasks documentation defines a Task as one run of work carried out by an Agent or a Workforce.

Sources: Schedule Work – Control when your AI agents run—and how much they do; Tasks - Relevance AI Documentation

Agents receive Tasks made up of messages, steps, and Tool runs, while a Workforce Task View monitors and manages work across agents, including concurrent tasks, approvals, and human intervention.

Sources: Tasks - Relevance AI Documentation; Workforce Task View - Relevance AI Documentation

Relevance AI documents daily, weekly, monthly, and custom recurring schedules, six-field AWS EventBridge cron expressions, multiple recurring schedules for one agent, and future scheduled messages.

Sources: Schedule Work – Control when your AI agents run—and how much they do; Scheduled Triggers - Relevance AI Documentation

Its scheduling product page also documents work hours, workload pacing, bulk scheduling, wake mode, and a queue manager; the current pricing comparison lists Work Hour Controls specifically for Enterprise.

Sources: Schedule Work – Control when your AI agents run—and how much they do; Pricing - Relevance AI Documentation

Relevance AI documents native integrations with ready-made actions and triggers, plus Pipedream integrations extending its catalog to 2,000+ services.

Source: Integrations - Relevance AI Documentation

Its MCP client connects agents to preset remote MCP services or a custom server URL, can connect multiple instances independently, and does not currently support local JSON-configured MCP servers.

Source: MCP client - Relevance AI Documentation

Workforce edges can use Auto Run, Approval Required, or Let Agent Decide modes; Auto Run can be capped with Max auto runs, while approval requests and escalations can be reviewed through Workforce Task View.

Source: Approvals and Escalations - Relevance AI Documentation

Relevance AI's Tasks surfaces show task lists and queues, messages and Tool runs, search and filters, status, credits used, run time, and linked tools across Agents and Workforces.

Source: Tasks - Relevance AI Documentation

Workforce Task View documents conversation and task logs, decision points, tool usage, task timelines, approvals, failures, and concurrent work; the current pricing table lists 90-day Task History for Pro and Team.

Sources: Workforce Task View - Relevance AI Documentation; Pricing - Relevance AI Documentation

As reviewed on 2026-08-13, Relevance AI lists Pro at $19 per month on annual billing or $29 month-to-month, with 30,000 Actions per year or 2,500 per month, $240 in Vendor Credits per year or $20 per month, Schedule Tasks, Bring Your Own LLM, and 90-day Task History.

Source: Pricing - Relevance AI Documentation

Relevance AI defines an Action as an agent running a tool, which may be a simple operation or a complex workflow with many steps; Vendor Credits cover LLM and tool usage. Neither meter is treated as a Work on Repeat run start or model step.

Source: Pricing - Relevance AI Documentation

The official Relevance AI sources reviewed for this profile do not document an automatic import into Work on Repeat, so none is promised here.

Sources: Schedule Work – Control when your AI agents run—and how much they do; Pricing - Relevance AI Documentation; Scheduled Triggers - Relevance AI Documentation; MCP client - Relevance AI Documentation; Integrations - Relevance AI Documentation; Approvals and Escalations - Relevance AI Documentation; Tasks - Relevance AI Documentation; Workforce Task View - Relevance AI Documentation