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Scope: recurring AI work

Reviewed August 13, 2026

Work on Repeat vs Lindy

A source-backed comparison of Lindy and Work on Repeat for recurring AI work.

Start a routine

The two-minute answer

Lindy is a conversational AI teammate that works through Slack and other personal surfaces, with scheduled routines, broad integrations, MCP support, model choice, and scoped write approvals. Work on Repeat centers explicitly configured routines in a standalone operations surface with per-routine tool policies, API and webhook access, and detailed execution traces; it is not primarily a Slack teammate.

Eight dimensions

At a glance

DimensionWork on RepeatLindy
Who each product is built forWork on Repeat is built for solo businesses, consultancies, startups, and lean teams putting recurring knowledge work on a schedule.Lindy presents itself as an AI teammate for the whole team, connected to company tools and available through conversational surfaces including Slack, iMessage, Gmail, and the browser.
How work is definedA routine owns its instructions, model, inputs, schedule or API trigger, connected tools, and delivery settings.Lindy defines a routine as a saved instruction attached to a user's Lindy rather than a separate bot, with a trigger, a plain-English prompt, and a result destination. Lindy's pricing page places model selection in its common included-feature list and says users can choose a model per task, with most major models available.
How recurring work startsRoutines support five-field cron schedules with an IANA timezone, plus manual and API runs.Lindy routines can run on daily, weekly, or monthly schedules, or on documented events such as email, Slack, calendar, and meeting events. Personal routine results can go to Lindy chat, text, or Slack DM, while workspace routines post to a Slack thread reply or channel.
How systems are connectedBuilt-in providers plus generic remote MCP connections expose approved tools to routines.Lindy's integrations catalog currently advertises 1,000+ integrations and includes Any MCP Server alongside packaged apps. Lindy's Any MCP Server page says a user can ask Lindy to connect a server, approve the connection when prompted, and then delegate plain-language work through it, including repeated work saved as a routine.
How actions are boundedEvery MCP tool begins disabled; enabling it and allowing automatic execution are explicit per-routine decisions.For shared Slack threads, each Lindy integration has a write guardrail: Always allow, Require approval, or Don't offer; approval requests use Approve and Deny actions in the thread. Lindy documents that these guardrails cover writes only and apply in shared Slack threads, not reads, web-app chat, Slack DMs, iMessage, or SMS; the requester or a workspace owner or admin can approve a guarded write.
How runs and usage are inspectedWork on Repeat persists run, model-step, tool-call, error, usage, and webhook-attempt history.Lindy documents a versioned file system where users can inspect, edit, and correct files, including a History tab for files. Lindy's pricing page lists team files with version history in its common included features, while audit logs are listed specifically under Enterprise.
How packaging is measuredFree is $0 with no card and includes 1 active routine, 10 run starts per UTC month, 1 connection, 7 days of history, 1 concurrent run, 3 model steps per run, read-only API access, and $0.50 of upstream AI usage. Pro is $39 monthly and includes 10 active routines, 250 run starts per Stripe billing month, 10 connections, 90 days of history, 2 concurrent runs, 4,000 model steps per run, full API access, signed result webhooks, and $10 of upstream AI usage. Business is agreement-based, with allowances configured for the customer's operating requirements.As reviewed on 2026-08-13, Lindy lists Plus at $29.99 per user per month with 3,000 credits per user per month, Pro at $99.99 with 15,000, and Max at $199.99 with 35,000; Enterprise uses contact pricing and lists audit logs among its additions. Each paid seat contributes credits to one shared workspace pool, credits refresh each billing cycle without rollover, and Lindy pauses credit-using actions when the pool runs out.
What switching requiresUsers manually recreate one responsibility, connect its systems, prove a manual run, inspect the result, and then schedule it.The official Lindy sources reviewed for this profile do not document an automatic import into Work on Repeat, so none is promised here.

01

Who each product is built for

Work on Repeat

  • Work on Repeat is built for solo businesses, consultancies, startups, and lean teams putting recurring knowledge work on a schedule.

Lindy

  • Lindy presents itself as an AI teammate for the whole team, connected to company tools and available through conversational surfaces including Slack, iMessage, Gmail, and the browser.

    Source: Lindy – The AI Teammate That Lets You Do More

Our take

Lindy fits teams that want to delegate work to a conversational teammate; Work on Repeat fits operators who want an explicitly configured routine service and developer access.

02

How work is defined

Work on Repeat

  • A routine owns its instructions, model, inputs, schedule or API trigger, connected tools, and delivery settings.

Lindy

  • Lindy defines a routine as a saved instruction attached to a user's Lindy rather than a separate bot, with a trigger, a plain-English prompt, and a result destination.

    Source: Routines - Lindy Documentation

  • Lindy's pricing page places model selection in its common included-feature list and says users can choose a model per task, with most major models available.

    Source: Pricing - Lindy

Our take

Lindy starts from conversation and delegation, with routines making a teammate proactive; Work on Repeat starts from a routine record. Neither operating model is a universal preference.

03

How recurring work starts

Work on Repeat

  • Routines support five-field cron schedules with an IANA timezone, plus manual and API runs.

Lindy

  • Lindy routines can run on daily, weekly, or monthly schedules, or on documented events such as email, Slack, calendar, and meeting events.

    Source: Routines - Lindy Documentation

  • Personal routine results can go to Lindy chat, text, or Slack DM, while workspace routines post to a Slack thread reply or channel.

    Source: Routines - Lindy Documentation

Our take

Both products schedule recurring work; Lindy attaches recurrence to a conversational teammate, while Work on Repeat exposes it through a standalone routine operations surface.

04

How systems are connected

Work on Repeat

  • Built-in providers plus generic remote MCP connections expose approved tools to routines.

Lindy

Our take

Lindy emphasizes a teammate connected to a large packaged catalog and MCP servers; Work on Repeat uses built-ins and generic remote MCP connections governed per routine.

05

How actions are bounded

Work on Repeat

  • Every MCP tool begins disabled; enabling it and allowing automatic execution are explicit per-routine decisions.

Lindy

  • For shared Slack threads, each Lindy integration has a write guardrail: Always allow, Require approval, or Don't offer; approval requests use Approve and Deny actions in the thread.

    Source: Integrations - Lindy Documentation

  • Lindy documents that these guardrails cover writes only and apply in shared Slack threads, not reads, web-app chat, Slack DMs, iMessage, or SMS; the requester or a workspace owner or admin can approve a guarded write.

    Source: Integrations - Lindy Documentation

Our take

Lindy provides a named human-approval option for shared-thread writes within its documented scope; Work on Repeat uses a disabled-by-default per-routine policy for enabling tools and automatic execution.

06

How runs and usage are inspected

Work on Repeat

  • Work on Repeat persists run, model-step, tool-call, error, usage, and webhook-attempt history.

Lindy

  • Lindy documents a versioned file system where users can inspect, edit, and correct files, including a History tab for files.

    Source: Files - Lindy Documentation

  • Lindy's pricing page lists team files with version history in its common included features, while audit logs are listed specifically under Enterprise.

    Source: Pricing - Lindy

Our take

Lindy exposes file history and Enterprise audit logs without implying that all visibility is Enterprise-only; Work on Repeat instead emphasizes routine run, model, tool, error, usage, and delivery traces.

07

How packaging is measured

Work on Repeat

  • Free is $0 with no card and includes 1 active routine, 10 run starts per UTC month, 1 connection, 7 days of history, 1 concurrent run, 3 model steps per run, read-only API access, and $0.50 of upstream AI usage.
  • Pro is $39 monthly and includes 10 active routines, 250 run starts per Stripe billing month, 10 connections, 90 days of history, 2 concurrent runs, 4,000 model steps per run, full API access, signed result webhooks, and $10 of upstream AI usage.
  • Business is agreement-based, with allowances configured for the customer's operating requirements.

Lindy

  • As reviewed on 2026-08-13, Lindy lists Plus at $29.99 per user per month with 3,000 credits per user per month, Pro at $99.99 with 15,000, and Max at $199.99 with 35,000; Enterprise uses contact pricing and lists audit logs among its additions.

    Source: Pricing - Lindy

  • Each paid seat contributes credits to one shared workspace pool, credits refresh each billing cycle without rollover, and Lindy pauses credit-using actions when the pool runs out.

    Source: Pricing - Lindy

Our take

Lindy credits are not treated as Work on Repeat runs. Lindy packages per-user credit allocations; Work on Repeat packages workspace-level routine, run-start, model-step, and upstream AI-usage allowances.

08

What switching requires

Work on Repeat

  • Users manually recreate one responsibility, connect its systems, prove a manual run, inspect the result, and then schedule it.

Our take

Switching requires manually reproducing instructions, connected tools, schedules, destinations, and approval behavior, then proving the result before activating the routine.

Choose Work on Repeat when

  • You want a standalone operations surface for explicitly configured routines, and you do not need the product to act primarily as a Slack teammate.
  • You need a versioned API and signed result webhooks for triggering routines and consuming results.
  • You want persisted run, model-step, and tool-call traces plus a disabled-by-default tool and automatic-execution policy per routine.

Choose Lindy when

  • You want a conversational AI teammate that your team can address in Slack channels, threads, or direct messages.
  • You want Lindy's documented catalog of 1,000+ integrations plus the option to connect any MCP server.
  • You want named write guardrails and approval actions in shared Slack threads, with their documented scope boundaries.

Switching products

Migration expectations

Moving from Lindy is a manual reconfiguration. Start with one recurring responsibility, connect only the systems it needs, prove a manual run, and inspect the trace before activating its schedule. Work on Repeat does not convert another product's workflow format automatically.

Read the manual migration guide

Evidence boundary

Methodology and sources

This comparison uses the competitor's primary product, documentation, and pricing sources listed here. We reviewed them on August 13, 2026. Product scope and packaging can change; the separately labeled interpretation blocks are Work on Repeat's reading of the cited facts.

Comparison hub

Primary sources

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