Lindy vs Relevance AI

Lindy lets you build personal or business AI agents without writing code: connect your email, calendar, CRM, and other apps, then configure an agent with triggers (e.g., "a new email arrives") and actions (e.g., "draft a reply," "add to CRM," "schedule a follow-up"). Pre-built templates cover common workflows like inbox triage, meeting scheduling, and lead qualification, which can be customized rather than built from scratch. Agents run continuously in the background, acting on new events as they happen rather than only when triggered manually. The free tier supports a small number of tasks and agents, enough to test a single workflow; paid plans starting around $49.99/mo raise task limits and allow more agents and integrations. Building genuinely useful agents takes some iteration — overly broad instructions tend to produce inconsistent results — and costs scale with both the number of agents and the volume of tasks they handle.

Relevance AI frames automation around an "AI workforce": instead of a single agent, you assemble a team of agents, each with a defined role (e.g., researcher, outreach writer, support responder), tools they're allowed to use, and goals they work toward — with a manager-style orchestration layer coordinating handoffs between them. A library of pre-built agent templates covers common business functions like outbound sales prospecting, customer support triage, and market research, which can be customized to your stack and connected to CRMs and other business tools. The free tier supports a limited number of agent runs for testing; paid plans starting around $19/mo raise usage limits and unlock more agents, seats, and integrations. Getting real value requires some upfront investment in defining roles and tools clearly — vaguely-configured multi-agent teams tend to produce inconsistent results, and overall output quality is still bounded by the underlying LLM each agent uses.

• + No-code builder for personal/business AI assistants
• + Pre-built templates for common workflows
• + Connects to email, calendar, CRM, and more
• + Agents run continuously in the background

• – Free tier limited to a small number of tasks/credits
• – Effective agents take iteration to configure well
• – Pricing increases with task volume and agent count

• + Build multi-agent teams with defined roles and tools
• + Library of pre-built templates for sales/support/research
• + Integrates with CRMs and common business tools
• + Usable free tier for testing

• – Effective multi-agent workflows take time to configure
• – More advanced features and seats behind paid tiers
• – Output quality depends on underlying LLM and setup