Flows
Flows has an llms.txt. Do you?
Flows is revolutionizing product adoption with its fully customizable platform designed for seamless onboarding and user engagement. Their innovative features, like workflows and floating components, ensure users receive guidance precisely when they need it, transforming how companies interact with their audiences.
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Flows's llms.txt Insights
Short and sweet
5 sections. Minimalist, but hey — at least they showed up.
What's inside Flows's llms.txt
Flows's llms.txt contains 7 sections:
- flows.sh
- Features
- Use cases
- Documentation
- Resources
- How to Get Started
- Flows SDK
How does Flows's llms.txt compare?
| Flows | Directory Avg | Top Performer | |
|---|---|---|---|
| Lines | 47 | 1029 | 163,447 |
| Sections | 5 | 17 | 3207 |
Cool table. Now the real question — where do you land? Find out →
Flows's llms.txt preview
First 47 of 47 lines
# flows.sh
> Flows is a fully customizable product adoption platform for modern companies building onboarding and user engagement experiences.
## Features
- Workflows: Combine experiences into multi-step campaigns that guide users through your ideal product journey.
- Floating components: Create floating components that follow users as they navigate your app, ensuring they always have the right guidance at the right time.
- Embeddable components: Render inline components directly within your app’s UI. Don’t just put tooltips over your product.
- Custom UI components: Leverage our APIs and your design system for full control. Build your own components and create a native experience.
- Localization: Support any language or locale to reach a global audience.
- Segmentation: Target specific users or companies based on properties or behavior.
- Versioning: Deploy, audit, and restore your changes across environments.
- Analytics: Understand how users interact with your workflows.
- Environments: Test workflows on staging before deploying them to production.
- Actions: Trigger actions based on user behavior.
- Workflow logic: Branch, filter, and control the path of your workflows.
- Privacy first: Built with privacy in mind. Minimizing data collection.
## Use cases
- [User onboarding](https://flows.sh/solutions/user-onboarding): Build engaging onboarding flows that guide users to value and drive activation.
- [Feature adoption](https://flows.sh/solutions/feature-adoption): Support releases with engaging announcements, embeddable banners, and guides.
- [Product-led growth](https://flows.sh/solutions/product-led-growth): Build growth loops to drive KPIs and increase the effect of sales, support and marketing efforts.
- [Revenue expansion](https://flows.sh/solutions/revenue-expansion): Convert free trials into paying customers with in-app promotions and upsells.
- [Product marketing](https://flows.sh/solutions/product-marketing): Launch in-app campaigns like announcements and product tours without engineering help.
## Documentation
- [Documentation](https://flows.sh/docs): Documentation on how to integrate and use Flows
## Resources
- [Blog](https://flows.sh/blog): Content on best practices for product adoption and Flows product updates
- [Examples](https://flows.sh/examples): Examples of what experiences you can build with Flows.
## How to Get Started
- [Pricing](https://flows.sh/pricing): Flows offer a pay-as-you-go pricing that starts at $0/month with a generous free forever tier
- [Contact](https://flows.sh/contact): Contact the team for a demo
- [Signup](https://app.flows.sh/signup): Sign up to try out the product today
## Flows SDK
- [React SDK](https://flows.sh/docs/react/overview): Flows SDK purpose-built for applications built with React.
- [JavaScript SDK](https://flows.sh/docs/javascript/overview): Flows SDK for integrating with any JavaScript framework.
What is llms.txt?
llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like Flows use it to ensure AI accurately represents their brand when answering user queries. Read the spec.
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