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AI assistant that automates tasks and workflows.

Documentation in progress

The product identity and source are confirmed, but some specifications or interface details do not yet have citable manufacturer evidence. Missing evidence is not treated as a negative claim.

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category
AI Agents
Maturityi
Available
Deploymenti
Cloud / SaaS
Buying / access
Buy or sign up directly
Source
Official websiteChecked Oct 10, 2026

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when
  • Knowledge lookup, drafting and multi-step workflows with review
  • Tasks with clear tools, permissions and success criteria
  • Teams that can evaluate outputs with real examples
What to check
  • Prompt/version history, traces, evaluations and cost
  • Data retention, model providers and tool permissions
  • Human approval for irreversible or sensitive actions
Not a magic solution
  • An unsupervised decision-maker for high-stakes work
  • A replacement for an unclear business process
  • A guarantee that a larger model removes all errors

About

Lindy is an AI assistant developed by a US company, focused on automating daily tasks and workflows. It uses natural language interaction to help users manage schedules, process emails, and arrange meetings. Key features include personalized automation, multi-platform integration, and smart reminders, suitable for personal productivity, team collaboration, and customer service.

Tags

No-CodeSaaSLLM-Powered

Scenes

Customer Service AutomationMarketing & Sales AutomationSoftware & Agent DevelopmentEducation & Research

Product details

Manufacturer / team
Lindy
Product typei
Service
Price note
Trial includes $50 in credits lasting 7 days; paid usage from $49.99 per active user/month for 5,000 credits; enterprise pricing by quote (checked 2026-10-10).

The cost iceberg

The purchase price is only one part of an automation project.

Model calls, retrieval and vector storage
Evaluation sets, traces and monitoring
Guardrails, human review and permissions
Incorrect actions, rollback and incident response