Ruflo AI resources
Use these guides to evaluate Ruflo AI as a hosted multi-agent workspace service before choosing a plan or opening checkout.
Evaluation guides
- What Ruflo AI is: hosted multi-agent workspace definition and buyer fit.
- How to use Ruflo: first-workflow setup and review path.
- Ruflo GitHub guide: source evidence, setup clarity, and repository review.
- Legitimacy checklist: practical trust checks before buying or self-hosting.
Workflow guides
- Ruflo and Codex: structured repository work with planning and review.
- Ruflo and Claude Code: delegation, memory, and repeatable agent workflows.
- Hosted multi-agent workspaces: when hosted coordination is more useful than isolated chats.
- Multi-agent coding workflows: planner, worker, reviewer, and verifier roles for repository work.
- AI agent memory and RAG: what to store, what to retrieve, and how to avoid stale context.
- Goal Planner UI: how to turn broad goals into reviewable agent runs.
- Codebase planning and review: using Ruflo around Codex and Claude Code for scoped delivery.
- Team agent operations: owners, capacity, billing, support, and review rules for team rollout.
- Ruflo UI: goal planning, checkout, provisioning, and workspace operations.
- Community research: how to use discussion without mistaking hype for evidence.
Commercial references
- Pricing: Starter $19/mo, Growth $49/mo, and Scale $149/mo before annual discounts.
- Checkout readiness: hosted payment handoff and provisioning follow-up.
- Privacy: data handling for visitors, orders, workspaces, payment, and support.
- Terms: account, payment, workspace, provider, and support rules.
- llms.txt: compact AI-readable product facts and canonical links.