No-code SaaS
Lindy
Build AI agents in minutes, not months
Our verdict
The best no-code AI agent platform for operators. Non-technical teams can ship real automations in hours.
Best for
Sales and customer support teams at B2B companies who need working agents in days, not weeks, with no developer on staff.
Not for
Teams with complex custom integrations, regulated data, or who need full infrastructure control.
Overview
Lindy is the most operator-friendly AI agent platform we tested. No code required — describe what you want your agent to do in plain English and Lindy builds it. The platform specializes in sales follow-up, meeting preparation, customer support triage, and email management. The pre-built templates are genuinely polished: not 'technically works' polished, but 'you could ship this to customers' polished. The tradeoff is the usual SaaS bargain: you're on their infrastructure, their pricing, and their data policies. For standard B2B workflows with non-sensitive data, that tradeoff is worth it.
What works
- +Genuinely no-code — plain English agent creation
- +Fast time to first value (hours, not days)
- +Polished pre-built templates for sales and support
- +Managed infrastructure — nothing to maintain
What doesn't
- −SaaS pricing adds up at scale
- −Limited customization ceiling vs open-source harnesses
- −Your data lives on their servers
- −Hits a ceiling on complex or non-standard workflows
Pricing
Freemium. Paid plans from ~$49/month.
Common questions about Lindy
What is Lindy AI?
Lindy is a no-code platform for building AI agents that handle support, sales, scheduling, and operations workflows. It targets non-technical operators — you describe the agent in plain English, connect tools (Gmail, Slack, HubSpot, Calendly, etc.), and ship something working in hours. Strong default templates for common use cases.
How much does Lindy cost?
Lindy has a free tier with limited credits, then paid plans starting at $49.99/month and scaling up based on usage and seats. Most small teams spend $50–$200/month all-in. Enterprise plans for teams with compliance needs run higher.
Lindy vs Relevance AI — which to pick?
Lindy is easier to set up and ship — better default for non-technical operators who want results this week. Relevance AI is more flexible for complex multi-source research pipelines and conditional branching by user type. If you're not sure, start with Lindy; if you outgrow it, move to Relevance AI.
Is Lindy good for non-technical users?
Yes — that's its core positioning. The natural-language agent setup, the curated integration list, and the template gallery make Lindy the most non-technical-friendly serious agent platform in 2026. A small business owner can build a working support or scheduling agent in an afternoon.
Continue exploring
Tool
AI Agent Cost Calculator
See what running Lindy's typical workflow costs at your volume — pre-filled for this category.
Tool
The AI Agent Picker
Not sure Lindy is right? Five questions, one recommendation.
Reference
AI agents, explained
Twelve plain-English answers covering what AI agents are and what they're not yet good at.
Open dataset. This review is part of a structured dataset of every platform on the shortlist, published as platforms.json on GitHub under CC-BY-4.0.