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Zaro Flow Example: Configuring AI memory

Preview this Zaro user flow: Configuring AI memory. Explore the opening screens.

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Zaro - The Context Layer for Enterprise AI screen
Zaro - The Context Layer for Enterprise AI screen

User manages AI agent memory topics for self and workspace via settings pages in default master-detail or empty states

User configures personal information, identity verification, theme, authentication methods, MFA, notifications, and account deletion options across settings screens in sandbox mode

User configures AI video model, reference images, shot parameters and text prompt in Magnific workspace, opens model selector, views tutorial overlays, and sees queued generation

User views and manages payment methods, credits, coupons, and billing address on the billing settings page

User configures workspace feedback ingestion sources including Slack and Intercom integrations, AI context rules, and request categorization in Alloy settings.

User accesses messaging settings modal from empty inbox to manage archived messages or provide feedback

User accesses AI model catalog settings to manage provider routing, filter models by provider, and review token limits and capabilities across multiple list and table views

User enters membership settings after loading to view annual plan, expiration, membership date, and Stripe billing provider

Viewing and editing organization profile details including logo, name, and slug from settings

User opens studio recording settings and adjusts audio/video options, frame rate, backups, and related toggles

User updates profile details, editor preferences, timezone, personal API tokens, and active sessions from account settings pages

User opens API version modal from settings and selects default version from dropdown for the workspace

Multi-step form sequence to create a new transaction monitoring rule by specifying name, scope, exclusions, conditional logic, risk-based actions, and automation triggers

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