Add customizable settings & memory controls to personalize the Storytell experience

I’d love to see a more powerful Settings & Preferences page in Storytell that lets users customize how the AI interacts with them and manage what it remembers over time. What I’m looking for: 1. Personal context A simple “About Me & Company” field to store persistent info like my role, company, focus areas, and common use cases. This would help Storytell give more relevant responses across chats. 2. Response preferences Let me define how I want responses to look - tone, format (e.g., bullets vs. paragraphs), level of detail, etc. These preferences should apply by default, not just per chat. 3. Memory management Add a clear interface to view, edit, and delete what Storytell remembers — with a master toggle, timestamps, and a “Clear All” option. 4. In-chat memory controls I want to be able to say things like “Save: I’m traveling to Japan in June” or ask “What do you remember about me?” and get a clear, visible response.

Implementing Integrations UI: Google Drive, Slack, and Zoom

We need UI support for three integrations that help with file ingestion and collaboration: Google Drive Integration Allow users to ingest files and folders directly from their Google Drive accounts. A "G Drive" icon will be added to the upload area in the prompt bar. Clicking the icon will initiate Google Drive authentication. Once authenticated, users can: Select a file → it’s added to the current Collection. Select a folder → a sub-collection is created with the same name. Slack Integration UI Design and implement a user interface for connecting and managing Slack integration. Allow users to authenticate and link their Slack workspace. Surface options for sharing or receiving content via Slack (exact workflows to be defined). Zoom Integration UI Create an interface to support Zoom account linking. Enable users to connect their Zoom account. Prepare the UI to support future workflows like ingesting Zoom transcripts or recordings.

Integrating Storytell's API/SDK to build a Storytell-like experience on our data platform

We’re building a Storytell-like experience directly into our B2B data platform, where users already connect and explore their own datasets. The goal is to embed an AI layer that lets them query their data and generate dynamic, narrative-style insights—all within our product’s existing interface and branding. What we need to support: Use of Storytell’s API or SDK within our own UI Ability to handle millions of rows of structured data efficiently Controls to constrain or customize features based on our platform’s use case Full white-labeling so the experience feels native to our product This would unlock new value for our users and help them move from raw data to insight without leaving our ecosystem. Curious if others are building toward embedded AI experiences like this.

One-Click Copy for Tables in Responses

It would be great to have a one-click copy button for tables in Storytell responses. Copying tabular data manually takes extra time, especially when pasting into reports or presentations. A quick copy option would make working with tables much faster and smoother.

I'd like you to generate Concepts from XLS or CSV files like you do for other file types

email collaboration invitations directly from shared threads

want to bring someone else into the conversation, we expected to be able to just invite them via email right from that thread. Instead, we have to navigate back to the parent collection and share that entire collection with them just so they can access the specific thread we want them to collaborate on. This creates unnecessary friction in our workflow. We often have multiple threads within a collection, and we don't always want to give someone access to everything - sometimes we just want them to collaborate on one specific thread. We'd love to see a feature that lets us invite people via email directly from within a thread. Ideally, this would handle the permissions automatically so that when we invite someone to a thread, they get the appropriate access to participate in that specific conversation without us having to manage the collection-level sharing manually.

We need an account management page

We need the ability to manage our account information through a dedicated account management page. Specifically, we want: An account management interface where we can update our account details The ability to delete our own account when needed

Save AI responses directly to Collections for future reference

We need the ability to add our AI assistant's responses directly to our Collections as data points that can be referenced later. This addresses a common workflow issue where users want to capture and organize valuable AI-generated insights. Our current process forces users to manually copy and paste responses they want to keep, which creates friction and often results in valuable information being lost. We've heard from multiple users that they want a more streamlined way to build a "scratchpad" of AI responses for ongoing projects.

Implement Visual Representation and Graphing Capabilities for Data Analysis

We need to implement visual representation and graphing functionality within our platform to enhance our data analysis capabilities. This feature will allow us to create compelling visualizations, identify patterns, and gain deeper insights from our data. Key Requirements: Support for generating various graph types (e.g., bar charts, line graphs, scatter plots). Ability to visualize large datasets efficiently (billion rows of data). Integration with our existing data analysis tools and concepts. Interactive features (e.g., zoom, filtering, drill-down). Ability to customize graph appearance (e.g., colors, labels, axes). These new visualizations will help us enhance our data storytelling capabilities, improve the ability to identify fraud patterns, facilitate easier communication of insights, and provide a more intuitive and engaging user experience. Example Use Cases: Visualize monoliths, slime trails, and click flooding patterns. Graph click-to-install time versus total install time. Show distribution of app versions, screen brightness, and battery level.

A way to save, reuse, and refine recurring prompts — the Prompt Library would significantly enhance my workflow efficiency.

field research and cross-organizational storytelling

We're exploring better tools for communicating our field research and insights across our organization. Our current challenge is collecting information from the field and getting it to the right teams in a timely, sustainable way that goes beyond what we can accomplish with existing tools. Our main use case centers on field communication - we recently had discussions with a supplier doing video production work, and we realized we need more effective ways to communicate what we're doing and how we're doing it across different departments. We're looking for solutions that help us become better researchers and tell our segment story more effectively. What's working well is our interest in pulling real-time views of specific metrics and getting that information distributed properly. However, we're hitting frustrations with current tools - we've tried using ChatGPT for things like creating Venn diagrams but it's not meeting our needs for complex visual communication. The main pain point is that communicating complex information "off the top of your head or on a flip chart" during meetings is challenging. We need tools that help align our marketing, technology, and distribution management teams around the same narrative and data insights. We're particularly interested in solutions that integrate well with our existing systems and can handle the corporate environment restrictions we work within. Our goal is to move beyond basic AI tools to something more sophisticated for organizational communication and research synthesis.

Compare two (or more) CSV files

We are a market research team that regularly analyzes shopper metrics data. We have a specific use case where we need to compare two CSV files to each other to identify differences and pull together comparative data points. Our current workflow involves looking at a lot of data comparatively, and we often need to tell year-over-year stories by comparing target audience data to control groups. We have CSV files containing shopper metrics data that we need to analyze, including calculations and breakdowns that we would like our tool to pull together automatically. We understand that the tool may not have granular snapshot capability yet, but we're hoping that with its current capability, we can compare target audience data to control data more efficiently. Currently, this process is quite manual and time-consuming. We attempted to work with the current system by converting CSVs to XML format to perform the analysis, but we're looking for a more streamlined approach that can handle CSV comparison natively. Our ideal outcome would be to upload two CSV files and have the system automatically identify key differences, patterns, and provide comparative insights without requiring manual data transformation.

get notified about important updates, interactions, or shifts in projects and teams

I want a notification system that surfaces relevant updates or subtle signals across projects, people, or topics, especially interactions that might not stand out at first glance, but could carry deeper meaning or impact. I’d like to get proactive alerts about things like: Shifts in tone or tension in ongoing collaborations Emerging topics related to key stakeholders or roles Significant interactions involving leadership or high-priority projects It’s less about surface-level updates and more about surfacing what matters, before it becomes a problem.

Storytell.ai Settings & Preferences

We really need a proper settings page where we can customize how the AI interacts with us and manages what it remembers about our conversations. Right now we have to re-explain our context and preferences every time we start a new chat, which is frustrating. Personal Profile Section We want an "About Me & Company" area where we can save our professional background, company details, role, expertise areas, and typical use cases. This way the AI would already know our context when we start chatting instead of us having to explain it repeatedly. Communication Preferences We need options to set how we prefer responses formatted - like whether we want bullet points or paragraphs, how much technical detail to include, preferred output styles, and general tone. These should stick across all our conversations. Memory Controls We want to see and control what the system remembers about us. This should include a main toggle to turn memory on/off, a list of what's been saved with timestamps, the ability to delete individual memories, and a "clear everything" option with a confirmation step. In-Chat Memory Features While chatting, we want to be able to tell the AI "remember this" for important information, ask "what do you know about me" to see our saved context, and get visual feedback when something gets saved to memory so we know what's being retained. Everything should update immediately when we change settings, and we shouldn't have to refresh or restart conversations for changes to take effect. We also want the interface to feel like it belongs with the rest of the platform, not like an afterthought.

Auto-send prompt suggestions instead of requiring manual Send button click

We've noticed that when clicking on a prompt suggestion in our interface, it inputs the prompt text but still requires us to manually click the 'Send' button to execute it. This feels like an unnecessary extra step in our workflow. Currently our experience is: Click on a prompt suggestion Prompt text gets filled in We still need to click 'Send' to actually run the prompt We'd prefer if clicking a prompt suggestion would automatically execute it, eliminating the need for the additional Send button click. This would streamline our user experience and make the prompt suggestions feel more immediate and responsive.

Process incoming emails into structured formates

We need a way to automatically process incoming casting notice emails and convert them into structured formats within Storytell. Currently, when we receive casting notices via email, we have to manually format them to match our desired structure. Our goal is to have these emails automatically processed when they're sent to Storytell, with intelligent formatting that converts the unstructured email content into our preferred format. This would involve drag-and-drop functionality where we can move content into the right place, with a prompt system that would format the information according to our specifications. This automation would save us significant time in processing casting notices and ensure consistent formatting across all our casting-related communications.

Email Notifications based on Documentation

We need a system that can automatically generate and send email notifications based on our documentation content. This would help us keep our stakeholders informed about important updates and changes without manual intervention. Our goal is to have documentation-driven email notifications that can: Monitor changes or updates to our documentation Automatically trigger email notifications to relevant recipients Customize notification content based on the documentation updates Ensure timely communication of important information This automation would save our team significant time and ensure consistent communication with our stakeholders when documentation changes occur.

Distribution of Client Call Summaries and Action Items

We need to streamline our post-call workflow by automatically distributing summaries and action items to relevant team members after client conversations. Currently, our team manually processes call recordings and creates follow-up tasks, which creates delays and inconsistent communication. Our ideal workflow would automatically: Process recorded client calls to extract key discussion points Generate structured summaries highlighting main topics covered Identify and extract specific action items with clear ownership Distribute these summaries to appropriate team members based on the content or client account Create trackable follow-up tasks in our project management system We'd like this to integrate with our existing call recording platform and automatically trigger after each client session ends. The summaries should be formatted consistently and include participant names, call duration, and priority level for any action items identified. This automation would significantly reduce our administrative overhead and ensure no important follow-up items fall through the cracks between client conversations and internal execution.

Automate QBR slide generation from customer analytics data

We need to streamline our quarterly business review process by automating the creation of presentation materials from our customer analytics pipeline. Currently, our team manually compiles data insights into slide decks, which is time-consuming and prone to inconsistency. Our goal is to establish an automated workflow that: Pulls key metrics and insights from our customer analytics dashboard Formats the data according to our standard QBR template structure Generates polished presentation slides ready for stakeholder review Maintains consistent branding and formatting across all quarterly reports

automatic synchronization between linked Google Docs and our collection

We need document synchronization functionality for our workflow. When we paste a link to a Google Doc in the assets uploader, we require that any updates made to the Google Doc are automatically captured and reflected in our collection. We would like to request that when a Google Doc link is uploaded in the assets uploader, any subsequent updates made to the document are automatically synchronized with our collection.