Feature Requests

Need my own receptionist that can schedule appointment, calling to verify time frame, answer the phone and all the above that would really make this system 🎉

please we need to delet older chats that are finished with automatically

Need an automation to reply to Facebook reviews like it does for comments.

So despite SINTRA AI launching the "Brand Kit", Soshie is still creating her own logos. I am having to recreate every single image on ADOBE and import them and then update them through my Social Media Calendar. Is anyone else experiencing this too? How do you work around this?

Feature request: “Use Brain AI images only” toggle for Auto Poster Auto Poster needs a setting to only use images from Brain AI and never generate replacement product images . Right now the image generator creates visuals that don’t match our real products (we sell multicolored 3D-printed articulated toys ), which makes drafts unusable and potentially misleading. Requested feature: Toggle: “Use Brain AI images only (disable AI-generated product images)” Optional: allow light edits only on the selected Brain AI image (background replacement/cropping), but keep the subject 100% intact (no re-creating the product).

The persistent inability of AI-driven assistants to reliably identify and surface duplicate threads or tasks—despite explicit user prompts—highlights a systemic limitation in current natural language processing pipelines and indexing strategies. This deficiency is particularly evident in scenarios where the assistant returns the exact thread or task title, yet end-users encounter friction in locating the associated content in the interface. To address this, the Chat Search bar should integrate advanced artificial intelligence methodologies, including vector-based semantic search leveraging large language model embeddings, neural information retrieval, and context-aware ranking algorithms. By adopting multi-modal knowledge graph indexing and relevance feedback loops, the system can dynamically learn from user behavior and gradually refine its retrieval precision. Configurable search parameters are essential. Such functionality could expose controls for: Recency bias weighting – Prioritizing the temporal proximity of threads. Contextual keyword mapping – Utilizing synonym expansion and latent semantic indexing. Adaptive relevance sorting – Combining user interaction history with reinforcement learning to improve future rankings. Augmenting the Chat Search bar with these capabilities would not only improve retrieval accuracy but transform the user experience into a proactive, frictionless discovery process. Expert users would benefit from reduced cognitive overhead, rapid access to mission-critical tasks, and the ability to identify cross-thread dependencies with minimal manual intervention.

It would be highly advantageous if Sintra AI had the capability to automatically update documents whenever they are modified, whether through the assistance of an AI Helper or through manual intervention. This feature would be particularly beneficial in scenarios where documents are stored across various platforms such as Sintra AI, Google Drive, or Notion. Additionally, the system should be equipped to send notifications to users whenever a document undergoes an update, followed by a process of versioning to keep track of all changes. Moreover, it would be immensely useful for Sintra AI to incorporate a centralized dashboard that allows users to monitor all document activities across different platforms. This dashboard should be designed to display recent changes, identify the individuals responsible for these modifications, and offer quick access to previous versions of documents, facilitating easy rollback if necessary. Furthermore, integrating advanced smart tagging and search functionalities would enable users to swiftly locate updated content, thereby minimizing the need to navigate through multiple platforms. Lastly, providing an option to set up automated reminders or notifications for specific document activities would ensure that teams remain synchronized and well-informed about any updates, eliminating the need for manual checking.

The current process for approving and scheduling social media posts is cumbersome, as it requires individual approval for each post. It would be more efficient if I could approve and schedule multiple posts at once, streamlining the workflow and saving time.

Hello, I am noticing it takes a very long time to "skip" emails in the inbox manager. If we could multi-select the process would be more efficient. I deleted many emails this week directly in Outlook but when I log into Sintra it says all those emails still need to be reviewed. Ultimately it is making double work. Today I had to skip 76 emails manually that had already been deleted. Thank you

Sintra AI’s existing ecosystem, which includes web, mobile, and desktop applications, currently suffers from a lack of real-time synchronization. This absence results in notable functional differences across the various platforms. For expert users who manage intricate, multi-device workflows, the lack of live sync leads to operational inefficiencies and increases cognitive load. Specifically, actions taken on the web interface are not immediately mirrored in the mobile or desktop versions, which can cause versioning discrepancies and raise concerns about data integrity. Technologically, the absence of a unified synchronization layer hinders the smooth transmission of state changes between clients. To address this issue, implementing a live synchronization architecture that utilizes event-driven messaging, conflict resolution algorithms, and eventually consistent data models would resolve this fragmentation. By integrating differential data sync through WebSockets or server-sent events, near-instant updates could be ensured. Additionally, AI-powered activity prediction could proactively cache and reconcile changes across devices, further enhancing synchronization. For advanced users, these improvements would create a coherent, latency-tolerant ecosystem that reduces context switching and maximizes operational continuity. Prioritizing cross-platform live sync is crucial for achieving both feature parity and a robust, expert-ready user experience.