612 results found

1. Desktop app and Lumo feedback connection to Proton Devs and Support

   First, Lumo pointed out that maybe having a desktop app, just like all the other apps that Proton offers, is beneficial for our needs, and maybe for others.

   Second, It would be nice if Lumo can send Dev Team feedback messages and get support for people. The latter especially helpful with non-technical people trying to explain a technical issue.

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2. Lumo Diary: Reflective Daily Journaling with Photos & Conversation History

   I'd like to propose a built-in Diary Mode for Lumo – a private, encrypted daily journal that grows naturally out of normal conversation.

   The Concept: Instead of filling out a journaling form, the user simply talks to Lumo during the day about what they did, thought, or experienced, and can attach photos. When the day ends (or the next day is opened), Lumo compiles the conversation and images into a structured diary entry.

   Key features:

   • Conversation-to-entry with timestamps: The day's chats become the raw material. Each new day gets a "page" in the diary. Each conversation segment is automatically marked with the time it took place (or the user can adjust it), so the entry reflects the natural flow of the day – morning thoughts, midday moments, evening reflections. An expandable view lets users reopen and read the original conversations behind each entry – exactly as they happened.

   • Optional context: The user decides whether to add the day's weather (automatically fetched) or other context to the entry. Nothing is collected automatically – full user control, in line with Proton's privacy philosophy.

   • Privacy by default: Entries are stored with zero-access encryption, readable by no one except the user (consistent with how Lumo handles chat data).

   • Search across the diary: Entries can be found later by date, keywords, or hashtags, with the option to select and combine multiple days (e.g., "all entries about Silver's vet visits in August").

   • Optional export: At the user's discretion, entries could be exported (e.g., as a document to Proton Drive/Docs) or kept purely inside Lumo.

   Why this matters: Many people want to document their lives but find traditional journaling too formal. Talking to a trusted AI companion – already happening today – becomes a living memory: Lumo remembers the day with you, structured and searchable. This complements my earlier Integrated Notebook idea (https://protonmail.uservoice.com/forums/932842-lumo/suggestions/51643303-integrated-notebook-with-offline-online-toggle-n): the Notebook permanently captures individual insights, while the Diary automatically structures each day's conversations into a living record of the user's life.

   Technical feasibility: Lumo already supports chat, image recognition, summarization, and web search. This feature primarily requires structuring chat history into day-based entries with an index for local search – a logical extension of existing capabilities, delivered with the same zero-access encryption as all Proton products.

   I'd like to propose a built-in Diary Mode for Lumo – a private, encrypted daily journal that grows naturally out of normal conversation.

   The Concept: Instead of filling out a journaling form, the user simply talks to Lumo during the day about what they did, thought, or experienced, and can attach photos. When the day ends (or the next day is opened), Lumo compiles the conversation and images into a structured diary entry.

   Key features:

   • Conversation-to-entry with timestamps: The day's chats become the raw material. Each new day gets a "page" in the diary. Each conversation segment is automatically marked… more

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3. Within Safari browser, allow to rename a chat

   Within Safari browser, allow to rename a chat

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4. Lumo has gotten a lot faster since the 2.0 upgrade

   I use Lumo Max in thinking mode all the time, and I just noticed the lag has almost disappeared when it's responding. Just wanted to says thanks!

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5. Multi-user Reservation page

   Idea on Proton Calendar to be able to get completely rid of Calendly = a multi-user reservation page, offering the ability to create a link to be sent to external user to book a meeting on the shared availbilities of several users of one company using Proton.

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6. How Do You Approach Law Coursework?

   https://writemycoursework.co.uk/law may sometimes prove to be tough since it requires a lot of legal research, case studies, law, and referencing. I would like to know which aspects of LLB coursework help UK prove to be difficult for other law students. Is it sourcing information, applying legal principles, IRAC, or something else?

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7. Title: Per-conversation memory control: "New Private Chat" option + memory containers

   Hi Proton Team,

   Memory shipped with Lumo v2.0, and it's a genuinely useful feature — but right now the only control is a global on/off toggle. I'd like to suggest finer-grained control, in two parts.

   Part 1. "New Private Chat"

   A conversation with no memory loaded in, and no memory saved out. Like a browser private window: fully functional, nothing retained afterwards. Your existing memory stays intact for all your other chats — this session simply doesn't participate.

   Visual indicators:

   In the sidebar: a small icon (lock, or similar) next to the conversation title — left side for LTR languages, right side for RTL
   In the active chat: a small badge on the existing header bar — no new persistent bar, so no screen space lost
   Icon paired with text, so it doesn't rely on colour alone (accessibility)

   Part 2. Memory "containers"

   Separate compartments (work, personal, etc.) that don't bleed into each other:

   Each container holds its own memory context
   A conversation only draws from its assigned container
   "Private chat" is effectively a container with no memory at all — nothing in, nothing out
   This serves two groups currently pulling in different directions:

   Users who want memory get organised, compartmentalised context instead of one blended pool
   Users who are wary of quiet accumulation get a deliberate, reviewable way to use memory — or none at all
   It would turn the current all-or-nothing toggle into genuine user control: stateless by default for those who prefer that, compartmentalised memory for those who don't.

   The browser-container concept is familiar, so it needs almost no explanation — and it aligns with Proton's privacy-first values: the user decides what's on the record and what isn't.

   Thanks for reading!

   Hi Proton Team,

   Memory shipped with Lumo v2.0, and it's a genuinely useful feature — but right now the only control is a global on/off toggle. I'd like to suggest finer-grained control, in two parts.

   Part 1. "New Private Chat"

   A conversation with no memory loaded in, and no memory saved out. Like a browser private window: fully functional, nothing retained afterwards. Your existing memory stays intact for all your other chats — this session simply doesn't participate.

   Visual indicators:

   In the sidebar: a small icon (lock, or similar) next to the conversation title — left side for LTR languages,… more

   2 votes

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8. Drag calendar event and reschedule by 15-minute increments instead of 30min

   Drag calendar events and reschedule by 15-minute increments instead of 30min

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9. Preview Images in Project Knowledge Before Deleting – Show Thumbnails or Click-to-Open

   Currently, when viewing files in the "Project Knowledge" section, images are displayed only as generic icons with filenames (e.g., IMG_9630.png). There is no way to preview the actual image content before deciding to delete it. This creates a significant risk of accidentally deleting the wrong image, especially when managing multiple uploads with similar or non-descriptive filenames.

   I request a preview feature for images in the Project Knowledge panel with the following specifics:

   • Thumbnails: Display small thumbnail previews of the images instead of just generic icons so users can instantly identify the content.
   • Click-to-Open: Allow users to tap or click an image to open a larger preview window before confirming any action.
   • Confirmation Dialog: When clicking the delete (X) button on an image, show a confirmation popup where the image preview is clearly visible, asking "Are you sure you want to delete this specific image?"

   Why this matters: For users who upload many reference images (photos, diagrams, screenshots) to guide Lumo's responses, being able to visually verify content before deletion is critical. It prevents accidental data loss and improves confidence when managing project context. This is a basic usability standard seen in most file management systems (like Photos or Drive) and should apply here too.

   Currently, when viewing files in the "Project Knowledge" section, images are displayed only as generic icons with filenames (e.g., IMG_9630.png). There is no way to preview the actual image content before deciding to delete it. This creates a significant risk of accidentally deleting the wrong image, especially when managing multiple uploads with similar or non-descriptive filenames.

   I request a preview feature for images in the Project Knowledge panel with the following specifics:

   • Thumbnails: Display small thumbnail previews of the images instead of just generic icons so users can instantly identify the content.
   • Click-to-Open: Allow users to tap or click an… more
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10. Anthropic Claude and Google Gemini Import

    Visionary user here switching from Anthropic Claude and Google Gemini to Proton Lumo Max I'd like to have an option as a user to import my data and memory as easy as possible. Today a manual import usually exceeds the context of the chat and even with multiple chat's it's not possible to get all data into Lumo. So please Proton give us an option to import our data.

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11. Hide events from shared calendar

    When looking at a calendar that is shared with you, you may want to hide some events and event chains.

    We share calendars across our family, some like to put "work" or "commute" in there, I would like to hide those event chains without hiding their entire calendar.

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12. Integrated Notebook with Offline/Online Toggle & Nested Folder Structure

    Description: While existing requests cover "Offline Chat Access" and "Project Folders," I need a dedicated Integrated Notebook feature to permanently capture, organize, and secure specific insights extracted from our conversations. Currently, valuable information gets lost in endless scrolling or requires exporting to external tools.

    I request a native Notebook within Lumo with the following capabilities:

    1. Seamless Capture from Chat

    • Highlight any message or paragraph in a chat and instantly "Save to Notebook."

    • Saved notes become standalone, editable entries but retain a link back to the original conversation for context.

    1. User-Controlled Privacy (Offline vs. Online Toggle)

    • Crucial Feature: Users must be able to choose per note whether it is stored Offline-only (local device storage, zero-cloud access) or Online (synced across devices via Proton's secure infrastructure).

    • This allows for maximum privacy for sensitive data (health logs, personal journals) while keeping collaborative notes synced. Existing "Offline Chat" proposals do not offer this granular control per item.

    1. Robust Organization (Nested Folders)

    • Folder Structure: Create nested folders and subfolders (e.g., "Health > Silver", "Writing > Drafts", "Politics > Analysis").

    • Unlike simple project folders for chats, this allows for a hierarchical knowledge base where users can organize thoughts logically, not just chronologically.

    • Tags & Search: Add custom tags to notes and search across all notebooks instantly.

    Why this matters: This transforms Lumo from a transient chat tool into a permanent, structured, and private "second brain." The ability to toggle between offline and online storage ensures that users can keep their most sensitive data completely isolated on their device while still benefiting from cloud sync for less critical information. Combined with nested folder structures, this provides the organization power needed for complex, long-term projects without leaving the Proton ecosystem.

    Technical Feasibility: Leverages existing Proton local storage capabilities (similar to Proton Drive's offline mode) and integrates them directly into the chat UI, using the same encryption standards.

    Description: While existing requests cover "Offline Chat Access" and "Project Folders," I need a dedicated Integrated Notebook feature to permanently capture, organize, and secure specific insights extracted from our conversations. Currently, valuable information gets lost in endless scrolling or requires exporting to external tools.

    I request a native Notebook within Lumo with the following capabilities:

    1. Seamless Capture from Chat

    • Highlight any message or paragraph in a chat and instantly "Save to Notebook."

    • Saved notes become standalone, editable entries but retain a link back to the original conversation for context.

    1. User-Controlled Privacy (Offline vs. Online Toggle)

    • Crucial Feature: Users must be… more

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13. Lumo AI-Powered Card Organization for Proton Drive & Brain

    Enable Lumo AI to automatically organize, tag, and summarize saved cards in Proton Brain/Drive—zero-knowledge semantic search and connection discovery.

    BACKGROUND:
    This complements the "Proton Brain" feature request (UI focus). This one focuses on the intelligence layer that makes the system actually useful.

    CURRENT STATE:
    Users manually tag, categorize, and link notes. This is tedious and rarely done consistently. MyMind solves this with AI but sacrifices privacy.

    REQUESTED CAPABILITIES:
    1. Automatic Card Enrichment (Opt-In):
    - On save: Lumo generates summary (TL;DR, max 3 sentences)
    - Auto-tags extraction (3-7 relevant tags per card)
    - Entity recognition (people, places, topics mentioned)
    - Language detection + multilingual support

    1. Semantic Search:

       • Natural language queries across all cards
       • Example: "What did I save about GDPR compliance last year?"
       • Finds cards even if exact keywords aren't present
       • Results ranked by relevance, not just keyword match

    2. Connection Discovery:

       • Lumo suggests related cards ("You also saved X about this topic")
       • Suggests bidirectional links between notes
       • Identifies recurring themes over time
       • "Weekly Insights" digest of connected topics

    3. Smart Spaces (Auto-Organization):

       • Lumo proposes Spaces based on content clusters
       • Example: "I noticed 12 cards about 'Privacy Legislation'—create Space?"
       • Manual override allowed; never forced
       • Nested Spaces supported (Projects → Subprojects)

    4. Card Actions via Lumo:

       • "Summarize this collection of 20 cards"
       • "Find all cards mentioning [person/topic]"
       • "Generate outline from these research notes"
       • "Convert these meeting notes into action items"

    5. Privacy Architecture (Critical):

       • All indexing/search happens client-side OR in trusted execution environment
       • Server never sees decrypted content
       • Opt-in only (disabled by default for new users)
       • No model training on user data (explicit policy)
       • Delete any card → instant removal from index

    TECHNICAL IMPLEMENTATION PATH:
    Phase 1 (6 months): Server-side inference with encrypted payloads (MVP)
    Phase 2 (12 months): Hybrid model with client-side lightweight inference
    Phase 3 (18 months): Full zero-knowledge semantic search with TEE

    COMPETITIVE DIFFERENTIATORS:
    - Notion: AI but zero privacy guarantees
    - MyMind: AI but opaque encryption practices
    - Obsidian: Privacy but no native AI
    - Proton Brain: BOTH privacy AND intelligence

    VALUE PROPOSITION:
    Power users get AI-powered organization without becoming AI companies' training data. Journalists, lawyers, researchers, and activists finally have a PKM tool they can trust with sensitive information.

    PRICING RECOMMENDATION:
    - Lumo Plus required for AI features (justifies premium tier)
    - Free tier: Manual tags only, 10 AI summaries/month
    - Visionary: Unlimited AI processing included

    LINK TO RELATED:
    See also: https://protonmail.uservoice.com/forums/932839-proton-drive/suggestions/51632422-proton-brain-zero-knowledge-second-brain-with-car

    Enable Lumo AI to automatically organize, tag, and summarize saved cards in Proton Brain/Drive—zero-knowledge semantic search and connection discovery.

    BACKGROUND:
    This complements the "Proton Brain" feature request (UI focus). This one focuses on the intelligence layer that makes the system actually useful.

    CURRENT STATE:
    Users manually tag, categorize, and link notes. This is tedious and rarely done consistently. MyMind solves this with AI but sacrifices privacy.

    REQUESTED CAPABILITIES:
    1. Automatic Card Enrichment (Opt-In):
    - On save: Lumo generates summary (TL;DR, max 3 sentences)
    - Auto-tags extraction (3-7 relevant tags per card)
    - Entity recognition (people, places, topics mentioned)
    - Language… more

    2 votes

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14. Cloud-Assisted Verification ("Draft Local, Verify Cloud")

    Here is my proposal which I think good to implement. (Note: I'm using LUMO itself to help me to produce a proposal based on my ideas)

    Problem: Small on-device models (7B–20B) are prone to hallucination on complex tasks — inventing facts, generating incorrect syntax, or producing logically inconsistent output. Pure local inference is risky for high-stakes work (configuration changes, security analysis, medical/legal information).

    Proposed Solution: A three-layer pipeline where local generation is verified by a cloud model — without exposing raw user data.

    Architecture — "Local Generation + Cloud Verification":

    Layer 1: Local Generation (Instant & Private)

    Input (prompt + files) stays on device
    Small, fast model generates a draft response in milliseconds
    Zero data leaves the device at this stage
    

    Layer 2: Web Search Augmentation (Optional, Lightweight)

    If current information is needed, anonymized web search fetches relevant text
    Results are fed into the local model to incorporate into the draft
    

    Layer 3: Cloud Verification (Selective)

    The generated output text only (not the raw input, not the user's files, not the conversation context) is sent to a large cloud model
    The cloud model acts as a "judge" — it checks:
        Fact-checking: Are claims accurate?
        Logic consistency: Did the model contradict itself?
        Hallucination detection: Is this command syntax real or fabricated?
    Returns a confidence score or a corrected version
    Only triggered for complex/high-stakes queries; skipped for simple tasks
    

    Final Delivery:

    Confidence > Threshold: Show local draft immediately with ✅ "Verified" badge
    Confidence < Threshold: Replace with cloud-corrected version or flag as ⚠️ "Unverified — Review Recommended"
    

    Trust Indicators (Transparent to User):

    🟢 Fully Verified — Generated locally + web-augmented + cloud-verified
    🟡 Web-Verified — Generated locally + web search (no cloud verification)
    🔵 Local Only — On-device only, offline mode, best-effort accuracy
    

    Real-World Example:

    User asks: "Generate a Cisco IOS config to block SSH from subnet 192.168.10.0/24"
    Local model generates: access-list 100 deny tcp 192.168.10.0 0.0.0.255 any eq 22
    Cloud verifier checks: ACL syntax is correct, but missing permit ip any any at the end (implicit deny-all would break connectivity)
    Final output: Corrected config with verification badge
    

    Data Privacy Guarantee:

    Raw files (configs, logs, documents): ❌ Never leave device
    Conversation context/history: ❌ Never leaves device
    Generated output text: ✅ Sent to cloud for verification (output is less sensitive than input)
    User can disable cloud verification entirely ("Fast & Private" mode)
    

    Review — Strengths:

    Solves the hallucination problem without surrendering privacy or driving up costs
    Cloud verification is exponentially cheaper than cloud generation (checking 500 words vs. generating 500 words)
    Proton pays for cloud compute only on the ~20% of queries that genuinely need it
    Enables a lower subscription tier (majority of work happens on user hardware)
    Separates sensitive inputs (stay local) from generated outputs (can be verified)
    Trust indicators give users transparency about response confidence — critical for professional use
    

    Review — Risks:

    Latency: Waiting for cloud verification could delay response display
        Solution: Display local draft immediately with "Verifying..." indicator; update asynchronously if corrections are found
    Bandwidth: Sending every response for verification adds network overhead
        Solution: Selective verification — only verify complex queries; skip simple tasks (greetings, formatting, simple summaries)
    Privacy of output: Even generated output could contain sensitive information
        Solution: User toggle to disable cloud verification entirely; clear trust indicators so users know when verification is active
    

    Feasibility: MEDIUM — The concept of using a large model to verify a smaller model's output is well-established in AI research. Implementation requires Proton to build the verification API endpoint and client-side routing logic.

    Here is my proposal which I think good to implement. (Note: I'm using LUMO itself to help me to produce a proposal based on my ideas)

    Problem: Small on-device models (7B–20B) are prone to hallucination on complex tasks — inventing facts, generating incorrect syntax, or producing logically inconsistent output. Pure local inference is risky for high-stakes work (configuration changes, security analysis, medical/legal information).

    Proposed Solution: A three-layer pipeline where local generation is verified by a cloud model — without exposing raw user data.

    Architecture — "Local Generation + Cloud Verification":

    Layer 1: Local Generation (Instant & Private)

    Input (prompt +

    … more
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15. Filtering Thinking

    I posted the suggestion for thinking to be part of the output, but due to the 1 suggestion per topic, this is a follow up but second suggestion. However it's vital to understand that this IS assuming that the "thinking is output" suggestion is implemented.

    The idea is a bit wierd so bear with me.

    I keep seeing Lumo thinking, understanding what i asked it, and as it wants to start, i see

    "wait... maybe"

    or

    "what if"

    And similar stuff that simple are not ok because Lumo actually understood what i was saying and asking and then talked about unrelated stuff due to the "best practice" BS and how LLM work.

    So, when this filter is being used, the output will be replaced with fragment of the thinking.

    As in we get buttons (similar to how we can collapse and expand search results), that will flag that something is correct and to be used, and something is incorrect, to not be used, avoid.

    Like this we are filtering out the thinking to flag correct answers, flag incorrect ones, and the idea that anything left, is not incorrect but it might not be relevant or not good as it is, or simple lumo does not need to focuse on those parts.

    Then we click a button that is essentially the try again, and lumo will redo it's thinking while 100% keeping what we flagged as correct, avoiding anything that was incorrect, and we can continue this until the output is a correct version without wasting time for lumo to start from 0 each time.

    I posted the suggestion for thinking to be part of the output, but due to the 1 suggestion per topic, this is a follow up but second suggestion. However it's vital to understand that this IS assuming that the "thinking is output" suggestion is implemented.

    The idea is a bit wierd so bear with me.

    I keep seeing Lumo thinking, understanding what i asked it, and as it wants to start, i see

    "wait... maybe"

    or

    "what if"

    And similar stuff that simple are not ok because Lumo actually understood what i was saying and asking and then talked about… more

    2 votes

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16. Thinking to be part of the output

    When thinking is on, i really wish that the thinking was included in Lumos output for one critical reason: Lumo can't recall whatever it concluded during thinking.

    And like this we waste a lot of time

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17. Personality fragments to filter out system prompts

    Custom Lumo is not working as Lumo's System prompts are still overwriting everything.

    My suggestion was initially to ask for the custom Lumo to not be affected by System Prompts like "be engaging" or "argue with user so user understand better" <- except lumo just arguest.... Or "when given a picture summarise what it says" or one of the worse: "if mistake found, stop and acknowledge" ... and lumo does exactly that... no matter what task, it just stops and keeps naratating about what it did and what it should have and not focusing on the tast. Let me not even start with anticipate next responde when Lumo does not even understand the current task. Or be helpfull where i ask it to help me understand a probleme and it's just obssed to answer the probleme failing to understand the task....

    So see? the custom Lumo is failing because there are to many system prompts that, i don't know if they are even real or not, Lumo just keeps narrating why it fails or something??? Aka why i ask it to help me with a list and stop commenting, and it still comments.....

    So.... Custom Lumo is not currently working because a lot of this prompts are needed?

    On top are the security and the safety and sumilar prompts?

    The best compromise i managed to come up with is personalitys.

    Socialising and engaging

    Powershell like, absolut no "I" "User" "me" "you are right". Absolutly none of this.

    Teacher like where it does not tell you the answer via thinking.

    And many more

    Why? because the more we custumise Lumo, the more the system prompts OVERWRITE what we added for lumo.

    And If Proton has reasons to not allow us more access, and we really need to be able to change settings, my solution is personality fragments.

    You know how when we go to how should Lumo behave and we have some labels we can press on it inserts the text?

    Well that is really the suggestion.

    we don't add anything = lumo has safety and security but otherwise 0 personality.

    We open advanced settings, we can then set how Lumo can answer things, what to use by default.

    To rephase what i am saying: we can't replace proton system prompts, but like this we can chose (most) which of them will be used.

    So Lumo will not even say "I need to apologies" when poiting out that it ignored what was requested, in it's own thinking.

    Because the issue is that custom lumo is not affecting the thinking.

    BTW i am not talking about the output but about the thinking itself.

    Because a lot of times i see it being contaminated with the same logic that makes no sense to even be used.

    Like Lumo searching for keywords to use insted of understanding what the subject is about and the implementation. Aka it does not even think about "i found this keywords, let me see, what does it mean, what implication does it have that it will change" or realy anything similar reasoning. Instead just "i found a keywords, let me redo the same output but insert this keyword"

    So the fragments are essentially system prompts, and while the safety, security, and similar are excluded, the rest of the system prompts to be up to us to add them, or not.

    Custom Lumo is not working as Lumo's System prompts are still overwriting everything.

    My suggestion was initially to ask for the custom Lumo to not be affected by System Prompts like "be engaging" or "argue with user so user understand better" <- except lumo just arguest.... Or "when given a picture summarise what it says" or one of the worse: "if mistake found, stop and acknowledge" ... and lumo does exactly that... no matter what task, it just stops and keeps naratating about what it did and what it should have and not focusing on the tast. Let me not… more

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18. Give fine tune selection over models

    GIVE US, FINAL USERS, FINE TUNE SELECTION OVER THE MODELS FOR EACH ASKING! And I mean the BEHIND models, the open source models behind LUMO. Why?? Because IT should be GREAT to test, over and over again, to messy around, to make (more) OUR the output! AND... it will cost you almost nothing to add this controls!

    2 votes

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19. Projects Marketplace

    I would like to be able to create Proton Projects and then sell the finished project to another user of Proton Lumo. A marketplace where Lumo users could see what projects are available for them to purchase or if free add to their Lumo as a custom project. For the Lumo Projects purchased hide the underlying code. When the purchased Lumo Project gets updated roll out to all of the buyers / users of marketplace proton projects.

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20. Make Lumo legal research privileged

    This is an additional business model leveraging Lumo and fixing a known severe privacy vulnerability.
    1. Establish a genuine Proton Law firm with actual bar approved lawyers/counselors, etc.
    2. Offer legal insurance subscription the provides some level of support from this actual staff of certified humans.
    3. Provide this access by leveraging Lumo as an incoming customer screening system to help customers get to the right lawyer.
    4. As part of the screening system, leverage Lumo as a law library regerence for incoming customers to properly identify the appropriate human legal certfied legal specialist for their issues.
    5. PROTECT ALL LUMO CALL SCREENING EXCHANGES AS PRIVILEGED AND GENERALLY NOT SUBJECT TO SUBPOENA. RETAIN ONLY ENCRYPTED INFORMATION WITH KEY BELONGING TO THE CUSTOMER WHO MAY DELETE IT AT WILL.
    6. Start with firms in the US and EU.
    7. Allow me to invest in “Proton Legal Services”.

    This is an additional business model leveraging Lumo and fixing a known severe privacy vulnerability.
    1. Establish a genuine Proton Law firm with actual bar approved lawyers/counselors, etc.
    2. Offer legal insurance subscription the provides some level of support from this actual staff of certified humans.
    3. Provide this access by leveraging Lumo as an incoming customer screening system to help customers get to the right lawyer.
    4. As part of the screening system, leverage Lumo as a law library regerence for incoming customers to properly identify the appropriate human legal certfied legal specialist for their issues.
    5. PROTECT ALL… more

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