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Mutinyhq Flow Example: Editing landing page with AI

Preview this Mutinyhq user flow: Editing landing page with AI. Explore the opening screens.

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nicelydoneproducts@gmail.com | Vimcal from Vimcal
nicelydoneproducts@gmail.com | Vimcal from Vimcal
nicelydoneproducts@gmail.com | Vimcal from Vimcal

From weekly calendar view, open quick-action menu, select time slots in availability picker across timezones, generate booking text and link for clipboard copy

User refines an AI task prompt and input/output schema via chat assistant and structured editor, then views the updated task detail page with schema and performance metrics

Navigating from AI assistant start screen with prompt library and agent templates to workspace home dashboard displaying agents and recent projects

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Starting AI chat

3 screens

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FromBud
Bud - Your AI Worker from Bud
Bud - Your AI Worker from Bud
Bud - Your AI Worker from Bud

Initiating a new conversation from the AI agent home screen with prompt suggestions and quick actions

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Order | Nicelydone | Polar from Polar
Order | Nicelydone | Polar from Polar

User opens edit invoice drawer from order detail page to update billing name and address on a paid order record

Applying AI stylization effects and modifications to video clips via text prompts and timeline controls in the Magnific editor

User engages with AI assistant on support page to resolve issues, browse documentation, or contact sales while viewing platform updates

User captures a web page in Alloy and iteratively prompts an AI assistant in the design editor to remove animations, progressing through prompt entry, loading, agent reasoning trace, and clarification workspace

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Profile · Airbnb from Airbnb
Edit profile · Airbnb from Airbnb
Edit profile · Airbnb from Airbnb

User views profile settings, enters edit mode to update biography, languages, location, travel stamps and interests, then returns to profile settings view

Opening support chat widget from user profile settings page, with messenger attempting to load recent conversations before displaying error states

User opens AI advisor modal from dashboard and engages in multi-turn chat to request spending analysis, cash flow summaries, subscription insights, forecasts, and personalized recommendations with generated charts and reasoning steps

User starts from empty agents list, uses floating AI chat to request agent creation, then encounters out-of-credits paywall and error state

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