feat(onboarding): implement first-run user onboarding wizard for profile setup
- Added a new onboarding wizard that runs on the first app launch post-login. - Collects user personalization data (job role, industry, primary use case, tone preference, language) and stores it in encrypted core memory. - Auto-detects and saves formatting preferences (timezone, time format, date format) in local electron-store. - Normalizes user free-text inputs via a backend LLM call before persisting. - Introduced new backend routes for memory updates and normalization. - Updated frontend components to support the onboarding flow with a chat-bubble aesthetic. - Added settings section for profile editing and re-running the onboarding process. - Ensured that the onboarding process is skippable and editable in the settings. - Implemented verification steps to ensure proper functionality and data handling. chore: update submodules for waitlist and website
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@@ -7,3 +7,6 @@
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[submodule "website"]
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path = website
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url = https://git.muticolturano.com/adiuvAI/website.git
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[submodule "waitlist"]
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path = waitlist
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url = https://git.muticolturano.com/adiuvAI/waitlist.git
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