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Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
Runs live AI reputation checks across ChatGPT, Perplexity, Gemini, Claude, and Grok to show who those engines recommend instead of you.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Creative agent platform that chains hundreds of AI models to make short videos, product shots and ad campaigns from prompts.
No public pricing
No public pricing
- ✦AI agents navigate your app in real browsers
- ✦One-command setup that maps flows and drafts tests
- ✦SDK to seed and tear down real data
- ✦Runs on every PR against preview deploys
- ✦No test code required
- ✦Open-source with a self-hosted option
- ✦Integrates with GitHub, Vercel and Linear
- ✦Live queries across ChatGPT, Perplexity, Gemini, Claude, and Grok
- ✦Scored report showing which competitors get named instead
- ✦Free preview of likely questions and rivals before purchase
- ✦Works for products, companies, or individual professionals
- ✦Optional ongoing monthly monitoring
- ✦AI tool directory used to resolve categories and competitors
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Chat interface orchestrating many AI models
- ✦Prebuilt glifs for video effects and edits
- ✦Short-form video and ad creative generation
- ✦Product-shot and image editing tools
- ✦Credit-based usage
- ✦Explore library of community workflows
- →Catching regressions before merging PRs
- →End-to-end testing without writing scripts
- →QA for fast-shipping product teams
- →Self-hosted testing on your own infrastructure
- →Businesses checking whether AI chatbots recommend them over competitors
- →Professionals like advisors or consultants checking their AI visibility
- →Marketers identifying which pages AI engines cite as sources
- →Tracking changes in AI-driven recommendations over time
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Create short-form videos from prompts
- →Generate product and ad creative
- →Add captions and effects to videos
- →Prototype AI creative workflows