Flowstep: Your AI Design Assistant vs Rivault: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Flowstep: Your AI Design Assistant and Rivault — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Flowstep: Your AI Design Assistant
Flowstep
Generates production-ready UI from text prompts with chat-driven iteration, Figma export, code export, and IDE integration via MCP.
Key features
- Production-ready UI Generation: Converts plain-text prompts into structured, production-quality user interfaces ready for further refinement or export.
- Chat-driven Iteration: Provides a conversational interface to iteratively tweak layouts, components, and visual details without leaving the tool.
- Figma Export: Copies or syncs generated UI directly to Figma as editable layers and components for designer workflows.
- Code Export: Exports implementation-ready frontend code from designs to accelerate developer handoff and reduce manual translation.
- IDE Integration via MCP: Connects to developers' IDEs through MCP to pull designs and code directly into development environments, streamlining integration.
- Generate production-ready UI from natural language text prompts
- Chat-based iterative refinement of generated UI
- Copy or sync designs to Figma
- Export frontend code from generated designs
- Connect IDEs via MCP for direct developer integration
- Support for rapid prototyping and design-to-development handoff
Best for
- Rapid MVP UI Creation: Produce initial, production-ready interfaces from product requirements to accelerate minimum viable product development.
- Designer–Developer Handoff: Export polished designs to Figma and generate code to minimize manual translation and speed up implementation.
- Iterative Design Exploration: Use the chat interface to quickly explore multiple layout and style variations with instant updates.
- Frontend Acceleration for Teams: Generate reusable components and export code to reduce repetitive UI implementation work across projects.
- Embedding into Dev Workflows: Connect via MCP to bring generated UI and code directly into a developer's IDE for faster integration and testing.
- Rapidly create UI mockups and prototypes from product requirements or user stories
- Accelerate design-to-code handoffs by exporting production-ready frontend code
- Enable designers to push iterations quickly into Figma for collaboration
- Allow developers to connect their IDE and import UI artifacts into the codebase via MCP
- Prototype new product flows and validate user interfaces with stakeholders
Rivault
Rivault
A zero-knowledge vault that lets AI agents request sensitive data on demand, unlocked by Face ID or passkey and redacted after each task.
Key features
- Zero-knowledge Vault: Sensitive data is encrypted client-side so Rivault never has access to the underlying values by default.
- Per-request Auth: Every agent access triggers a fresh authorization request that you approve with Face ID or a passkey.
- Deterministic Redaction: Data is scoped to a single task and redacted from the agent's context after completion.
- Agent-agnostic Integration: Works with chat-based AI agents and Computer Use Agents that automate browser or desktop flows.
- Ownership of PII: Store SSN, payment info, phone numbers, and emails once and reuse without leaving copies in session logs or memory.
- Biometric Unlock: Face ID or passkey approval keeps the human in the loop for every sensitive field release.
Best for
- Agent-driven Bookings: Approve passport and card details on-demand when an agent books flights or hotels.
- Automated Form Fill: Let CUAs complete government or insurance forms without leaving PII in browser logs.
- Customer Support Delegation: Grant scoped access to account numbers when an agent handles a service call for you.
- Recurring Task Automation: Reuse stored credentials across many agent workflows without pasting them each time.
- Enterprise Agent Deployments: Add a consent + audit layer for teams deploying agents that touch sensitive employee or customer data.
