Lindra AI
Automate any website with AI agents that click, filter, and navigate like a human. Like UIPath but usable in natural language.
Product Overview
Lindra AI is a DevTools automation product that uses AI agents to operate websites by clicking, filtering, and navigating through pages. Instead of building manual steps for every workflow, users can describe what they need in natural language and let the agents perform the actions in the browser.
It’s designed for teams and developers who need repeatable web tasks—such as searching, filtering, and moving through multi-step pages—without writing and maintaining brittle UI scripts. The product is positioned as a natural-language alternative to workflow automation tools for user interface actions.
Key features
- AI agents that click, filter, and navigate through websites
- Natural-language instructions for specifying web tasks
- Human-like interaction patterns for multi-step browsing workflows
- Agent-driven execution for repetitive UI workflows
- DevTools-focused automation for web page actions
How Lindra AI works
- 1
Describe the web task
A user writes natural-language instructions for the desired website actions.
- 2
Run the AI agent
Lindra AI executes the agent to click, filter, and navigate through the site steps.
- 3
Review results and iterate
The user checks the outcome and refines instructions for the next run if needed.
Use cases
- A developer or operator needs to repeatedly search a website, apply filters, and open specific result pages without rewriting the same UI steps each time.
- A team member wants to automate a multi-page workflow (e.g., selecting options, drilling into details, and moving to the next section) using plain-language instructions.
- A user running recurring data collection or validation tasks on websites can use Lindra AI to standardize navigation and filtering actions across runs.
Who is it for?
Lindra AI is best suited for developers and technical operators who automate web workflows and prefer describing tasks in natural language. It also fits teams that need repeatable browser-based actions like clicking, filtering, and navigation across dynamic pages.