Assistly vs Flowstep: Your AI Design Assistant: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Assistly and Flowstep: Your AI Design Assistant — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Assistly
Assistly
A live meeting assistant for Mac and Windows that reads call audio locally and shows guidance in an overlay excluded from screen shares.
Key features
- Bot-Free System Audio Capture: Works from your computer's audio rather than joining the meeting, so nothing appears in the participant list and there is nothing to integrate with the call app.
- Screen-Capture-Excluded Overlay: The assistant window is excluded from screen capture at the OS level, so it stays visible to you and invisible in shares and recordings.
- Auto-Assist Without Prompting: Detects when a question lands or when you think out loud and streams structured talking points into your thread automatically, with no hotkey and no break in eye contact.
- Multi-Speaker Language Tracking: Separates your voice from other participants and follows who said what across dozens of auto-detected languages, even when the call switches language mid-sentence.
- Two-Way MCP Context: Pulls context from Google Calendar, Notion, Linear or any MCP server during the call, and exposes your meeting history back over MCP so Claude, ChatGPT or Cursor can query it later.
- Personas from Your Material: Builds a persona from your CV, docs and notes and switches modes for a sales call, client review or interview so responses match your background and phrasing.
- Automatic Recap and Action Items: Turns the transcript into a summary with owners and deadlines the moment the call ends, auto-saved and searchable across sessions.
- Per-Client Projects: Files each session to a project based on the calendar, and scopes answers and mid-call lookups to that client's history so context never crosses between accounts.
Best for
- Live Sales Calls: Surfacing objection handling and product detail the instant a prospect asks, without breaking eye contact to search a doc.
- Client Account Reviews: Recalling what was committed to a specific client in a previous session, with the source call cited, while the review is still running.
- Non-Native Language Meetings: Following a call that switches language mid-sentence and receiving guidance in clear English.
- Customer Success Handoffs: Leaving every call with a written summary and assigned action items instead of reconstructing notes afterwards.
- Meetings Where Bots Are Unwelcome: Getting live assistance on calls with clients or legal teams who object to a recording bot joining the room.
- Querying Past Meetings from Your Editor: Asking Claude, ChatGPT or Cursor what was agreed in a past session over MCP without opening the app.
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