Getting Started with Lindy

What Lindy is

Lindy is a commercial AI agent platform built around the idea of AI employees — agents called "Lindies" that you delegate work to the way you'd delegate to a colleague. The signature experience is Slack-native: you assign tasks in threads and mentions, and the Lindy works in the background, reporting back when it's done. It also handles email inboxes, calendars, meeting recording and notes, and connects to 1,000+ integrations plus MCP servers.

Where n8n is a workflow canvas you build on, Lindy is a teammate you talk to. That difference shapes everything: setup is conversational, the unit of work is a delegated task rather than a workflow run, and billing runs on credits. See the contrast in our n8n vs Lindy comparison, and the general approach in our no-code agent guide.

How Lindy works

Lindies: agents with job descriptions

You create a Lindy for a role — "inbox manager," "meeting assistant," "sales follow-up" — and describe what it should do in plain language. It inherits workspace context, skills, and routines, so setup compounds: each Lindy benefits from what the team has already taught the system.

Skills and integrations

Lindy ships with dozens of skills (email, calendar, CRM actions, web research) and connects to 1,000+ apps. Computer Use on higher tiers lets it operate apps with no API by controlling a virtual desktop — useful, and worth watching closely on cost.

Credits: the unit of work

Plans include a monthly credit allowance per user, pooled across the workspace. Everyday asks cost a handful of credits; deep work costs more; big builds the most. When the pool runs out, credit-using actions pause until the next cycle or a top-up — Lindy doesn't surprise-bill you by default, though opt-in overage is available. Our pricing models guide explains credit systems in general.

Get started in 4 steps

1. Sign up and connect Slack. Lindy's home turf is Slack — connect your workspace so you can delegate in threads. Connect your email and calendar too, since most first use cases need them.
2. Create one Lindy with one job. Start with inbox triage or meeting follow-up. Write a clear job description: what it handles, what it drafts vs. sends, and what it escalates.
3. Set approvals before it acts. Anything that sends messages, books meetings, or updates records should pause for your approval at first. Lindy builds approvals in as a platform feature — use them.
4. Watch a week of credit usage. Run the Lindy on real work for a week, check what each kind of task costs in credits, then decide which plan tier fits. Don't guess the tier from the pricing page alone.

Pricing at a glance

As of October 2026, Lindy plans start at $29.99/user/month (Plus, 3,000 credits), with Pro at $99.99 (15,000 credits) and Max at $199.99 (35,000 credits); extra credits cost $10 per 1,000. Prices change frequently — confirm on the official site before buying (verified on lindy.ai/pricing, Oct 8, 2026).

The practical takeaway: the credit allowance matters more than the price. Two teams on the same plan can burn through credits at very different rates depending on whether their work is everyday asks or deep builds. Start on the entry tier, measure a real week, and upgrade only when the math says so.

Good first use cases

• Inbox triage: label, draft replies, escalate anything sensitive.
• Meeting follow-up: record, summarize, extract action items, post to Slack.
• Scheduling: coordinate calendars across guests without the email ping-pong.
• Lead follow-up: research new inquiries, draft personal first messages, log to CRM.
• Weekly digests: compile updates from your tools into a Monday briefing.

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