Resyncs zero_publication via the canonical ALTER PUBLICATION ... SET
TABLE pattern (mirrors migration 143) to publish a thin live view of
automation_runs for dashboard real-time updates. Heavy JSONB fields
(definition_snapshot, inputs, output, artifacts, error) stay on REST.
- Revised the pricing page title and description to reflect new features including AI workspace, automations, and agents.
- Enhanced the FAQ section with detailed information about AI automations and agents, including scheduling and event-triggered workflows.
- Updated demo plans to include features related to AI automations and agents, ensuring clarity on capabilities and costs.
- Added a new automation illustration to the homepage features grid, emphasizing the automation capabilities of SurfSense.
- Added image support to the AnnouncementCard component for improved visual presentation of announcements.
- Introduced a spotlight feature in the announcement types to allow critical announcements to be displayed in a blocking dialog until acknowledged.
- Updated AnnouncementToastProvider to skip spotlight announcements to prevent duplicate notifications.
- Included a new AI automation announcement with an image in the announcements data for demonstration purposes.
- Introduced a new feature highlighting AI automations and agents across multiple language README files.
- Described capabilities for scheduling AI workflows and event-triggered actions, enhancing user understanding of automation functionalities.
- Updated feature comparison tables to include AI automations, providing a clearer overview of available features.
- Revised the AI Resume Builder description to emphasize tailoring resumes for job descriptions and ATS compliance.
- Added example prompts across multiple languages to guide users in utilizing the feature effectively.
- Enhanced the automations section with new examples for various use cases, improving user engagement and understanding.
- Updated the hero section to include detailed examples for various use cases, improving user guidance.
- Modified existing use case descriptions for clarity and relevance.
- Introduced a new component to display example prompts, enhancing the overall user experience.
- Updated version number to 0.0.26 in VERSION, pyproject.toml, and package.json files for browser, desktop, and web components.
- Ensured consistency in versioning across the project.
- Removed the AI Document Sorting feature description from the README files in Spanish, Hindi, Portuguese, Chinese, and English.
- Updated the automations section to streamline content and focus on upcoming features.
- Enhanced the structure of the README files across multiple languages to include new use case categories.
- Added detailed descriptions and media for features such as AI Report Generator, AI Podcast Generator, and more.
- Improved clarity and organization of existing features, ensuring consistency across all language versions.
- Introduced upcoming features and automation capabilities, highlighting their benefits and functionalities.
- Introduced new use case categories for better organization of features.
- Updated the hero section to include additional use cases with detailed descriptions and media sources.
- Added new UI components such as Empty states, ScrollArea, and Tabs for improved user interaction.
- Refactored existing use cases to align with the new structure and enhance clarity.
- Enhanced lambda function formatting in `_after_commit` for better clarity.
- Simplified generator expression in `_match_condition` for improved readability.
- Streamlined function signature in `_eligible` for consistency.
- Updated imports and refactored anonymous chat routes to use a new agent creation method.
- Added a new function `_load_anon_document` to handle document loading from Redis.
- Improved UI components by replacing legacy structures with modern alternatives, including alerts and separators.
- Refactored quota-related components to utilize new alert structures for better user feedback.
- Cleaned up unused variables and optimized component states for performance.
- Added tracking for automation creation, updates, deletions, and trigger modifications, including success and failure events.
- Implemented event tracking in the automation creation process, including chat approval and rejection scenarios.
- Updated the instrumentation client to ensure correct typing for PostHog integration.
- Refactored existing mutation atoms to include tracking calls for automation-related actions, improving analytics capabilities.
- Removed the eligibility gate for model selection in the automation creation process, allowing users to choose models directly in the builder.
- Updated the `AutomationBuilderForm` to incorporate model selection logic, ensuring that selected models are validated and preserved during automation creation and editing.
- Simplified the `AutomationsContent` and `AutomationNewContent` components by eliminating unnecessary eligibility checks and alerts.
- Enhanced the user experience by integrating model selection directly into the automation approval process, ensuring that only billable models are used.
- Refactored related tests to cover new model selection behavior and ensure proper validation of user-selected models.
- Improved the layout and readability of the run details panel by restructuring sections and adding collapsible error views.
- Introduced a new `RunErrorSection` component to present run-level errors more clearly, allowing users to toggle raw error details.
- Updated the handling of run outputs, step results, and artifacts for better user experience.
- Refactored duration calculation in `RunRow` to utilize a dedicated `formatDuration` function for consistency.
- Added a new `RunStepResult` interface to improve type safety and clarity in handling step results.
