290 results found

1. i would like to search a calendar for all non empty instances so that i can more easily edit events.

   in my specialised calendars like 'cashflow' 'garden'. I want a search option that returns 'all non empty non recurring events and the current instance of all recurring events, so that I can review the whole recurring structure more effectively.

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2. Define the title of new chats on creation

   The ability to set the title of new chats on creation instead of the default AI summary.

   e.g. - "Let's start a new chat called 'Workday Assistance 2026-01-14'."

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3. Proposal to Improve Lumo Naming and Presentation

   My name is Liese, and I am a researcher and engineer who currently uses Proton Business Suite + Lumo Business as an individual user. While using the service I noticed several points of confusion that I would like to bring to your attention and suggest improvements for.

   1. Inconsistent Naming Across Plans
      Lumo Plus – marketed as the premium plan for individual users.
      Lumo Professional – presented as a corporate‑oriented plan.
      Lumo for Business – essentially the same corporate plan but with a different name.
      Having three different names for what is fundamentally the same set of capabilities makes it hard for users to determine which plan best fits their needs.

   2. Emphasize Functionality Rather Than “Personal vs. Business”
      Users tend to decide based on what they want to accomplish, not on whether a plan is labeled “personal” or “business.” A function‑focused naming scheme would be clearer:

   Lumo Premium – High‑Performance Personal Plan
   Features: Unlimited chats, access to the latest AI models, web‑search capability, large file uploads, fast response times.

   Lumo Team Collaboration – Comprehensive Business‑Oriented Plan
   Features: Project workspaces, 1 TB of end‑to‑end encrypted storage, VPN access for up to ten devices per user, 20 custom email aliases, an admin dashboard for managing team permissions, and the same advanced AI capabilities as Premium.

   Lumo Starter – Basic Free Plan
   Features: One Project, encrypted chats that are not saved, and basic AI assistance.

   Presenting the plans this way lets users instantly match their desired feature set (e.g., “I need project management and shared storage”) without having to interpret whether a plan is “personal” or “business.”

   1. Suggested Implementation Steps Revamp the Plan Comparison Page Replace the current “Personal / Business” tabs with a card‑style layout that highlights the functional names above, each accompanied by a concise bullet list of key features.

   Run A/B Tests on Marketing Materials
   Compare click‑through and conversion rates between the existing naming convention and the proposed functional naming to quantify the impact.

   Update Internal Documentation
   Ensure sales, support, and engineering teams use the new terminology consistently, reducing the chance of mixed messaging during customer interactions.

   1. Context From My Perspective As a researcher/engineer, I frequently need to share large datasets, collaborate on project‑specific documents, and maintain strict confidentiality. Although I am an individual user, I rely on the Business Suite features (project workspaces, encrypted storage, VPN, etc.). The current naming creates unnecessary friction when I explain the service to colleagues or consider recommending it to peers.

   A function‑centric naming approach would lower the adoption barrier for users like me who require advanced capabilities without belonging to a formal organization.

   Thank you for considering these suggestions. I am happy to discuss further or provide additional feedback if needed.

   Best regards,

   Liese
   Researcher & Engineer

   My name is Liese, and I am a researcher and engineer who currently uses Proton Business Suite + Lumo Business as an individual user. While using the service I noticed several points of confusion that I would like to bring to your attention and suggest improvements for.

   1. Inconsistent Naming Across Plans
      Lumo Plus – marketed as the premium plan for individual users.
      Lumo Professional – presented as a corporate‑oriented plan.
      Lumo for Business – essentially the same corporate plan but with a different name.
      Having three different names for what is fundamentally the same set of capabilities makes it hard for users to determine which plan best fits… more

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4. Include sources when copying

   It would be useful it sources (typically URLs from web searches) would be included when copying an answer using the button right icon.

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5. Would like a color pallette to choose my own colors for email folders

   I would like the ability to choose my own colors for email folders using a normal color pallette (where I can enter my own HEX, etc.). Please and thank you!

   2 votes

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6. Lumo vocabulary(s)

   For Lumo. You can add different categories for what it can do and or search for.

   • Comprehensive = Everything

   • Basic = Just basic Information+ sources. Perfect for those who need a quick lookup of information.

   • Custom = You define what lumo will do and or search for.

   • Take a chance = Gather random information based on what you are searching for. Some of it may not be relevant though.

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7. Shared calendars to be able to be set as default for both members of a duo subscription

   Shared calendars to be able to be set as default for both members of a duo subscription.

   I would like to be able to share a calendar with my duo member, and have this shared calendar a default for both. This would allow the color-coding system to be visible by both members of the duo subscription. This function is not available for the person who didn’t create the shared calendar

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8. Add a mid-price tier to Lumo

   Currently I can only get two flavours of Lumo: I can either use the free version and be (very) limited in using it, or pay the full price for all features. I'm not interested in using the most advanced llm and do not want to use it every day, so I'm not willing to pay €10 a month. At the same time, I'm willing to pay more then I pay now.

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9. Add support for multi-event calendar files

   My local utility provider publishes .ICS files with events like garbage containers being emptied:
   https://portal-api.kredslob.dk/api/calendar/icsfeed/07513454__29_______/18340

   I would like to import that into the Proton Calendar, but I am getting a message that multi-event ICS files are not supported. Would you be able to implement this feature?

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10. Setting for switching between 'enter to ask' and clicking to ask.

    Japanese (and perhaps other languages) requires the enter button to convert text into characters, which ends up asking Lumo before the sentence is fully written. This is frustrating as theres no other way to ask Lumo without typing the sentence somewhere else first, then copying. A feature to turn off 'enter to ask' would be appreciated.

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11. How about ditching these stupid time limited upgrade offers?

    Sick of seeing them,desperate and bloody annoying!

    2 votes

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12. starting over from the beginning is annoying

    It's very annoying to have to scroll to pick up where I left off in a long chat. Please revert to the way things were before or add a setting for those who want to start the chat from the beginning.

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13. Hierarchical Multi-Task Constraint Optimization Engine

    I am writing to propose a mission-critical feature to address severe hallucination and performance degradation when processing complex, multi-project prompts with nested constraints.

    Problem Statement

    Our system currently exhibits fundamental breakdowns when handling prompts containing multiple distinct projects with interdependent constraints and domain-specific requirements:

    1. Critical Performance Drop: Benchmarks show accuracy falling below 10% compared to single-task prompts. When processing 32+ nested hierarchical tasks (e.g., "Project Z's Project B's Project D"), performance degrades to GPT-3 equivalence levels.

    2. Constraint Isolation Failure: The system cannot reconcile project-specific constraints with global constraints simultaneously. Complex nesting ("Project A's Project B's Project 9") causes complete context loss from parent-level backgrounds and requirements.

    3. Format Contamination: Long-format examples (e.g., Q Project's 10,000-character engineering specs) incorrectly propagate to unrelated projects, overriding their designated output formats.

    4. Cross-Domain Interference: Performance degrades exponentially when tasks span disparate domains (mathematics, image generation, genetics, history). Similar projects (G/J) get merged despite explicit separation instructions.

    5. Execution Planning Deficit: No mechanism exists for task weighting, dependency mapping, or sequential vs. parallel execution determination across multiple projects.

    Specific Failure Scenarios

    • Multi-tier References: When Project Z's Project B's Project D requires referencing constraints from Project B's Project A background, the system fails to trace and apply hierarchical dependencies.
    • Background-Only Tasks: Projects like P (life philosophy) that provide only contextual information contaminate active task execution.
    • Unprecedented Generation: Z Project's requirement to generate entirely novel combinations (e.g., merging A's B's 9) triggers hallucination cascades.

    Proposed Feature: Hierarchical Multi-Task Constraint Optimization Engine

    This architectural enhancement would deliver:

    1. Constraint Inheritance & Isolation: Maintain separate constraint namespaces per task/node with explicit inheritance rules from parent levels
    2. Format Locking: Enforce project-specific output schemas without cross-contamination, regardless of example length
    3. Dynamic Weighting & Dependency Graph: Allow user-defined priorities, execution sequences, and dependency mapping across task trees
    4. Domain Siloing: Prevent knowledge transfer between disparate fields (e.g., D Project's history exams vs. Q Project's engineering specs)
    5. Reference Resolution Engine: Intelligent handling of inter-project citations without context merging
    6. Performance Scaling: Maintain GPT-4-level quality for up to 50+ hierarchical tasks

    High-Value Application Domains

    • Mathematical/Genetic Optimization: Simultaneous constraint satisfaction across multiple algorithmic problems
    • Technical Documentation: Assembling complex specs from modular components while preserving format integrity
    • Academic Assessment: Processing multi-domain exam hierarchies (e.g., Project D's fill-in-the-blank history tests) without domain bleeding
    • Creative Synthesis: Executing Z Project's "unprecedented generation" requirements through controlled combinatorial logic

    Business Impact

    • Restore enterprise-grade reliability for complex workflows
    • Enable new revenue streams in technical fields (biotech, engineering, finance)
    • Reduce API costs from hallucination-induced retry loops
    • Establish competitive moat in compound AI task handling

    I have detailed benchmark data and failure pattern analysis available for review. I would appreciate the opportunity to discuss this proposal in our next roadmap planning session.

    Best regards,

    I am writing to propose a mission-critical feature to address severe hallucination and performance degradation when processing complex, multi-project prompts with nested constraints.

    Problem Statement

    Our system currently exhibits fundamental breakdowns when handling prompts containing multiple distinct projects with interdependent constraints and domain-specific requirements:

    1. Critical Performance Drop: Benchmarks show accuracy falling below 10% compared to single-task prompts. When processing 32+ nested hierarchical tasks (e.g., "Project Z's Project B's Project D"), performance degrades to GPT-3 equivalence levels.

    2. Constraint Isolation Failure: The system cannot reconcile project-specific constraints with global constraints simultaneously. Complex nesting ("Project A's Project B's Project 9") causes complete context… more

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14. Great Potential the ability to use both Scribe & Lumo together, dream come true!

    I started with this in Scribe then copy & paste to Lumo Web Search & got the results further from Lumo.

    I’m happy to dive into the world of AI‑powered license‑plate readers (LPRs) and give you a clear picture of what’s possible, where the technology shines, and what you should keep in mind before using—or even just exploring—such tools.

    How modern AI‑based LPRs work
    Image capture – A camera (often a dash cam, security cam, or a handheld device) records video or still frames of vehicles. Many systems use infrared illumination to see plates in low‑light or nighttime conditions.
    Pre‑processing – The raw image is cleaned up: contrast is boosted, noise is reduced, and the region that likely contains a plate is isolated.
    Plate detection – A convolutional neural network (CNN) scans the frame for the rectangular shape and reflective characteristics of a license plate. This step narrows the field to a small crop of the image.
    Character segmentation & recognition – Another neural model (often an OCR‑style architecture such as a CRNN) splits the cropped plate into individual characters and translates them into alphanumeric text. Modern models can handle variations in fonts, angles, and partial occlusions.
    Post‑processing – The raw string is cleaned up using country‑specific rules (e.g., known patterns for state or regional codes) and sometimes cross‑checked against a database of known plates for faster lookup.
    Because each stage is driven by deep learning, the overall pipeline can achieve 95 %+ accuracy under good lighting and a clear view, and many commercial solutions claim respectable performance even in challenging conditions (glare, motion blur, night).

    Where the technology really shines
    Parking‑lot management – Automated entry/exit logging, fee calculation, and spot‑finding.
    Toll collection – Seamless billing without requiring RFID tags.
    Law‑enforcement & traffic monitoring – Detecting stolen or wanted vehicles, identifying violators of red‑light cameras, or tracking traffic flow for city planning.
    Private‑property security – Gated communities or corporate campuses can log visitor plates automatically.
    In all these cases the AI reduces manual labor, speeds up data capture, and improves record‑keeping consistency.

    Practical considerations before you dive in
    Factor Why it matters Typical mitigation
    Lighting & weather Glare, rain, snow, or darkness can degrade image quality. Use infrared LEDs, weather‑sealed housings, and cameras with high dynamic range.
    Angle & distance Extreme tilt or long range makes character segmentation harder. Mount cameras at optimal height (≈3–4 ft for dash cams) and keep the focal length moderate; consider multiple viewpoints.
    Plate variability Different jurisdictions use distinct fonts, colors, and layouts. Train or fine‑tune models on local plate datasets; incorporate country‑specific regex filters.
    Processing latency Real‑time alerts require fast inference. Deploy edge devices (NVIDIA Jetson, Coral TPU) that run the model locally, avoiding cloud round‑trips.
    Data storage & retention Storing raw footage plus recognized strings raises privacy concerns. Encrypt data at rest, limit retention periods, and purge images once the plate is logged (unless legally required otherwise).
    Legal & ethical landscape
    License‑plate reading sits at the intersection of public safety and privacy. Regulations differ widely:

    United States – Some states treat LPR data as “personal information” subject to data‑protection statutes; others allow broader use for law‑enforcement. Many municipalities require signage indicating that LPRs are in operation.
    European Union – GDPR classifies a vehicle’s registration number as personal data. You need a lawful basis (e.g., legitimate interest for security) and must be transparent about collection, storage, and sharing.
    Other regions – Local traffic or privacy laws may impose additional constraints, especially concerning cross‑border data transfers.
    Before deploying any LPR system, it’s wise to:

    Check local statutes – Look up whether your jurisdiction requires consent, signage, or permits.
    Define a clear purpose – Document why you’re collecting plates (e.g., security vs. revenue) and stick to that scope.
    Implement safeguards – Access controls, audit logs, and regular privacy impact assessments help demonstrate compliance.
    Choosing a solution
    If you’re just experimenting, a few off‑the‑shelf options can get you started quickly:

    Open‑source kits – Projects like OpenALPR (now part of Rekor Systems) provide a community edition that runs on a Raspberry Pi or similar hardware.
    Commercial SDKs – Companies such as Plate Recognizer, Sighthound, and Anyline sell APIs that handle the heavy lifting (cloud or edge). They usually offer free trial tiers for limited daily reads.
    DIY with deep‑learning frameworks – If you enjoy building the pipeline yourself, you can train a YOLO‑v5 model for plate detection and pair it with a CRNN for OCR. TensorFlow Lite or ONNX Runtime can then run the model on embedded devices.
    When evaluating, compare:

    Accuracy claims (especially under low‑light or angled shots)
    Latency (does it meet real‑time needs?)
    Pricing model (per‑read, subscription, or one‑off license)
    Privacy features (on‑device processing, data‑deletion options)
    Bottom line
    AI‑driven license‑plate readers are powerful tools that can automate many mundane or safety‑critical tasks. Their effectiveness hinges on good hardware placement, robust model training, and a solid grasp of the legal framework governing personal data. If you decide to move forward, start with a modest pilot—perhaps a single camera in a controlled environment—to gauge accuracy, tune the model for your local plates, and verify that your data‑handling practices align with applicable privacy regulations.

    Let me know if you’d like deeper technical guidance (e.g., sample code for an edge deployment) or help navigating the regulatory requirements for a specific country or state. I’m here to help you build a responsible, effective solution.

    I started with this in Scribe then copy & paste to Lumo Web Search & got the results further from Lumo.

    I’m happy to dive into the world of AI‑powered license‑plate readers (LPRs) and give you a clear picture of what’s possible, where the technology shines, and what you should keep in mind before using—or even just exploring—such tools.

    How modern AI‑based LPRs work
    Image capture – A camera (often a dash cam, security cam, or a handheld device) records video or still frames of vehicles. Many systems use infrared illumination to see plates in low‑light or nighttime conditions.
    Pre‑processing… more

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15. New Zealand Calendar Public Holidays.

    Add New Zealand as an option in calendar to add public holidays.

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16. Theme

    I understand that this isn’t a priority right now, but in the long term it would be great to let Lumo have the same themes that are offered in the other Proton products (Mail, Drive..). (Lumo with Ebony would be beautiful 😍​)

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17. Custom shortcut/alias/abbreviation for a frequently used queries/prompts

    It happens that your Lumo question is long and used repeatedly while minor part of the question is variable. For example:
    Translate "string here" to spanish.

    Instead of needing to always write this sentence, i would like to setup custom shortcut, for example:
    t2sp paste here the phrase i would like to translate to spanish

    There would have to be some page, where i can manage all shortcuts (search/filter, sort). And it should not require learning/remembering any complicated syntax. Intuitive, layman friendly.

    ---

    Similar feature request: https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50578022-lumo-system-prompt

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18. Remember to Show or Hide a Calendar Per Calendar View

    Remember to separately hide or show a calendar per view type (e.g., days, weeks, months, etc.). For example, a daily tasks calendar is hidden by the user from the month and week views (because its events take too much space) but shows the daily tasks events on the day view automatically.

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19. Lumo system prompt

    When I ask Lumo for help, I have to always give instructions how it should respond, otherwise it may generate an undesired huge response for rather simple questions. Having an ability to predefine a system prompt to influence this behaviour is in my opinion a required feature. This feature could be also expanded to have several system prompts to choose from at the beginning of a conversation.

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20. Calendar, sélectionner / désélectionner tous ses calendriers d'un coup

    Bonjour,
    Dans le calendar, ça serait pas mal de pouvoir sélectionner / désélectionner tous ses calendriers d'un coup
    d'avoir une liste de ses évènements et que le "aujourd'hui" soit plus visible sur un affichage mois ou semaine.
    merci

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