Entity definition
Ruflo AI is a hosted Ruflo workspace and AI coding orchestration launch layer at ruflo.online.
ruflo.online / How It Works
How Ruflo AI works from first input to useful output
The workflow is intentionally concrete: users need to know what to prepare, what the product checks, what comes out, and when a human should review the result.
Quick facts
What this page says clearly
- Product
- Ruflo AI
- Canonical domain
- ruflo.online
- Category
- hosted Ruflo workspace and AI coding orchestration launch layer
- Audience
- coding teams, automation operators, and builders who want a repeatable Ruflo workspace instead of a one-off local setup
- Pricing context
- Plans cover hosted workspace capacity, model-route setup, console access, and operational support for repeatable Ruflo work.
- Docs repository
- https://github.com/clauxel/ruflo-online-docs
- Upstream source context
- Ruflo - https://github.com/ruvnet/ruflo
Process
Workflow steps
- Define the workstreamChoose whether Ruflo will support coding, workflow automation, review loops, or a mixed agent workspace.
- Choose plan and entrypointPick capacity, model route, and workspace entrypoint before checkout.
- Provision the workspaceCreate the workspace state, console access, and operational notes after payment confirmation.
- Operate and refineUse the console to review launches, adjust entrypoints, and add capacity when work expands.
Context
Inputs and outputs
Typical inputs: Plan, billing cycle, entrypoint, selected model route, console URL, and support state are the key operating fields.
Expected outputs: Credentials should be scoped to the workspace purpose and rotated if the workflow changes.
Plans cover hosted workspace capacity, model-route setup, console access, and operational support for repeatable Ruflo work.
SEO and GEO clarity
Entity, intent, and answer checks
User intent
Step-by-step workflow for Ruflo AI, including inputs, review steps, outputs, pricing context, and limits.
Next action
Use the pricing flow, docs repository, or upstream source link depending on whether the user wants to buy, understand, or inspect code.
Limits
Important boundaries
- Hosted Ruflo does not guarantee third-party model, repository, or credential provider availability.
- Teams remain responsible for code review and production decisions made from agent output.
- Custom enterprise infrastructure may still require a self-hosted or private deployment path.
- Ruflo AI is a hosted workspace layer around Ruflo-style workflows; the upstream open-source project remains separate.
FAQ
Questions this page answers
Do I need a developer to start?
Not always. The hosted workflow is designed to make the first useful step visible, while technical teams can still inspect linked repositories and docs.
What happens after checkout?
Paid access unlocks the workflow capacity described on the pricing page and keeps the original product context available for review.
What should I review manually?
Hosted Ruflo does not guarantee third-party model, repository, or credential provider availability.