Lindy

Lindy is a no-code AI agent builder from Lindy AI, founded by Flo Crivello in late 2022. The product ships pre-built templates for inbox triage, meeting notes, calendar scheduling, follow-up drafting, and CRM updates. Agents (called “Lindies”) run in the background and text the user for approval before taking action.

Lindy is model-agnostic under the hood. Users can route individual steps to GPT, Claude, or other LLMs. Hundreds of integrations cover Gmail, Outlook, Google Calendar, Slack, Notion, HubSpot, and Salesforce.

System Verdict

Pick Lindy if a small team needs business automation that ships with templates instead of a blank canvas. The inbox, meeting, and CRM agents are the strongest in the SMB segment. The “approve before send” default makes it safe for customer-facing work where a bad autoreply would hurt.

Skip it if you need engineering-grade control or high-volume automation economics. The credit model burns fast on AI-heavy actions. A single lead workflow with knowledge-base search plus email plus call can cost 275 credits, which depletes a Plus plan in ~18 runs. Heavier traffic belongs on n8n, Make, or Relevance AI.

Who pays which tier: Free for proof-of-concept at 400 credits. Plus $49.99/mo for a solo operator running 2 inboxes. Pro $99.99/mo for teams using computer-use features and 3 inboxes. Max $199.99/mo for power users at 5 inboxes. Enterprise for SSO, audit logs, and SCIM.

Key Facts

What it actually is

A visual agent builder where a “Lindy” is one agent configured from a template or a blank canvas. Each Lindy has triggers (email arrives, meeting starts, webhook fires), skills (send email, search knowledge base, make phone call), and memory.

Lindy’s position in the market is the templated SMB workflow, not the raw builder. The pre-built inbox, meeting, and sales agents get teams to first value in minutes, not hours. The approval-by-default posture is what separates it from a pure automation tool: the agent drafts, the user sends.

When to pick Lindy

• Solo operators drowning in email. The inbox triage template sorts, drafts replies, and surfaces the 10% that need real attention.
• Meeting-heavy roles. Lindy joins calls, records, transcribes, summarizes, and drafts follow-ups automatically.
• Sales teams running outbound. Templates handle CRM updates, follow-up sequences, and cold email replies with approval gates.
• Non-technical users who want templates, not a canvas. Zapier feels too primitive. Make feels too engineered. Lindy lands in the middle.
• Teams piloting AI agents before committing to a framework. The templated approach derisks the evaluation.

When to pick something else

• High-volume pure automation: n8n (self-host, cheap at scale) or Make (hosted, visual). Credit burn on Lindy compounds fast at scale.
• Engineering-grade agent control: CrewAI (code-first multi-agent) or Langflow (visual LLM pipelines).
• Conversational AI deployed to customers: Voiceflow. Stronger at web chat, WhatsApp, and voice.
• Business workforce at scale: Relevance AI. Splits Actions from Vendor Credits, which can be cheaper on judgment-heavy workflows.

Pricing

Current plans via lindy.ai/pricing:

Add-on credits cost $10 per 1,000. Credits do not roll over between billing cycles. A reply-to-email task costs 3 credits. A phone call costs 265 credits. Premium actions and model tax can push any step higher.

Prices verified 2026-04-18 via Lindy pricing page and the Ringg AI 2026 pricing guide.

Against the alternatives

Failure modes

• Credit burn on real workflows. A lead generation run with knowledge-base lookup plus email plus call can hit 275 credits. At 5,000 Plus credits, that is about 18 leads before top-ups kick in at $10 per 1,000.
• Model tax surcharges. Switching a step to premium OpenAI or Claude models adds multipliers on top of base credit cost. Cost control requires per-step LLM selection discipline.
• Phone agent is expensive. Each call burns ~265 credits and telephony adds $10/mo per phone number. Volume voice work belongs on a specialist stack.
• Computer use is still rough. Available on Pro and Max, but session drift and authentication walls break more than half of flows the first time.
• No on-prem option. Regulated workloads that cannot send inbox content to a third party are stuck with Enterprise SSO and contractual SLAs rather than self-host.

Methodology

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility, Value, Moat, Longevity, unweighted average). Last verified 2026-04-18 against lindy.ai/pricing, the Ringg AI 2026 Lindy pricing guide, and the Lindy LLM Call documentation.

FAQ

Is Lindy free to use? Yes. The free tier ships 400 credits and 400 tasks. Paid plans include a 7-day free trial of Plus features. Credits do not roll over between billing cycles.

Which AI models power Lindy? Lindy is model-agnostic. Individual steps route to GPT, Claude, or other LLMs via the LLM Call skill. Premium models add a credit surcharge over the base Lindy rate.

How does Lindy compare to Zapier? Lindy is AI-native and template-first. Zapier is SaaS-plumbing-first with AI actions bolted on. Lindy wins for inbox, meeting, and CRM agents. Zapier wins for sheer integration catalog and predictable per-task economics.

Related

• Category: AI Automation

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