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Platform that compiles plain-English workflows into deterministic web-browsing AI agents that log in, browse and act.
AgentGPT/Reworkd automates web data extraction at scale; real adoption.
Product growth platform for SaaS teams building in-app onboarding, surveys, and analytics without engineering resources.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
No public pricing
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No public pricing
No public pricing
- ✦Plain-English workflows compiled to deterministic agents
- ✦Web automation behind logins with scraping and actions
- ✦Scheduled runs, triggers and always-on monitoring
- ✦Auto-testing of agents before publishing
- ✦Built-in enrichment, email verification and Google Ads tools
- ✦Integrations with n8n, Zapier, Make, Claude Code and Codex
- ✦Automated web data extraction
- ✦AI-powered code generation
- ✦Self-healing scrapers
- ✦Deep analytics dashboard
- ✦No-code builder for tooltips, banners, spotlights, and onboarding flows
- ✦Event autocapture with funnel, trend, and cohort analytics
- ✦NPS, CSAT, and behavior-triggered in-app or email surveys
- ✦Unlimited session replay with rage-click and error detection
- ✦Lia AI agent that surfaces insights and can execute in-app changes
- ✦MCP server for connecting Userpilot data to other AI tools
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- →Automating repetitive browser workflows
- →Lead generation and enrichment
- →Marketing and sales GTM automation
- →Invoice reconciliation and data extraction
- →Extracting data from government regulation websites
- →Scraping company data from Indeed or Y Combinator
- →Monitoring changes on websites
- →Downloading regulation PDFs
- →Building guided onboarding flows to improve activation
- →Announcing and measuring adoption of new product features
- →Deflecting support tickets with proactive in-app guidance
- →Spotting at-risk or expansion-ready accounts from usage data
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions