371 results found

1. AI-powered billing verification for construction (delivery notes + measurement = invoice)

   I'm a construction site manager in landscaping (GaLaBau). Our industry software (greenGALA 8, BAUSU) is purely static – it generates output but performs no automated checks or reconciliations. Every verification is done manually: data entry, Excel cross-checks, triple manual control, handwritten delivery note sorting, and final invoice plausibility checks.

   The core billing equation in construction is: Delivery notes + Measurement = Invoice. There is currently no tool that automates this reconciliation across the entire chain.

   Three areas where AI support would create massive value:

   1. Delivery note processing – Delivery notes are often barely legible: handwritten, dirty, incomplete, filled out on-site. Manual sorting and data entry takes unreasonable amounts of time. OCR-based extraction, even from poor-quality scans or photos, would save hours per project.

   2. Measurement plan understanding – Measurements often exist as drawn plans or sketches, not digitally. If AI could read measurement plans and extract dimensions and quantities, that would eliminate another fully manual step.

   3. Final invoice plausibility check – The most error-prone and time-consuming step. Reconciling delivery note quantities and measurements against billed positions. Finding deviations that can't be logically explained.

   Concrete bug I already encountered: I uploaded a final invoice PDF + measurement list PDF to Lumo 2.0 Max (Thinking mode, web search enabled) and asked it to reconcile them. The processing log showed completion, but both times the output was: "Something went wrong." Reproducible twice with identical files and prompt.

   Financial reality: I pay for Lumo out of my own pocket, not through a company license. Tax deductibility covers only a fraction. If Lumo can't handle the core use case – reliable PDF billing verification – it's financially uninteresting for me.

   What I need: Reliable processing of two linked PDFs, structured table extraction, and automated discrepancy detection across delivery notes, measurements, and invoices – bundled in encrypted Lumo Projects. This applies to the entire construction industry, not just landscaping: civil engineering, road building, structural work, all trades.

   Happy to provide sample documents or beta-test features.

   I'm a construction site manager in landscaping (GaLaBau). Our industry software (greenGALA 8, BAUSU) is purely static – it generates output but performs no automated checks or reconciliations. Every verification is done manually: data entry, Excel cross-checks, triple manual control, handwritten delivery note sorting, and final invoice plausibility checks.

   The core billing equation in construction is: Delivery notes + Measurement = Invoice. There is currently no tool that automates this reconciliation across the entire chain.

   Three areas where AI support would create massive value:

   1. Delivery note processing – Delivery notes are often barely legible: handwritten, dirty, incomplete, filled out on-site.… more

   3 votes

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2. Multiple windows (both emails and calendar) on Windows

   When using ProtonMail, I want to be able to:
   - Open a specific email in a new (secondary) window, So that I can read that email and type in a new email in a different window.
   - Open the calendar in a new (secondary) window, So that I can look at my calender while processing emails.
   - Open multiple emails in one window each.
   - Open multiple calendar views in one window each.

   All this is possible in the WEB version, but I need to use the full search feature of the local installed ProtonMail client.

   14 votes

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3. Voice‑Assist Button: Instantly Read Lumo Replies Aloud

   Introduce a dedicated Voice‑Assist button within the Lumo chat interface that, when pressed, converts the textual response generated by Lumo into spoken audio in real time. The button should be prominently positioned alongside the existing input controls, enabling users to trigger text‑to‑speech playback with a single click (or tap on mobile devices).

   12 votes

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4. Support for audio and creative file formats (.wav, .als, etc.)

   When working on music production projects (Ableton Live), I can't upload the files I actually use:

   .wav files are rejected — drag and drop returns "Unsupported file type"
   .als files are greyed out in the file picker
   I chose Lumo Plus because privacy matters for my creative work, but I can't even load the files I work with. Could support for common audio/creative formats be added?

   4 votes

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5. Lumo Watchlist & Scheduled Monitoring – Client-Side Alerts for Topic Tracking

   Hi Proton Team,

   I'm a long-time Proton user who relies heavily on GrapheneOS + Lumo as part of a de-Googled mobile workflow. I love that Lumo 2.0 now has private web search and persistent memory — these features make it an incredibly powerful tool for privacy-conscious professionals.

   That said, there's one gap between what Lumo offers today and what would make it a true competitor to mainstream AI assistants with automation capabilities: the inability to set up proactive, scheduled monitoring of topics or changes.

   Currently, if I want to track whether something new has been published about a specific topic (e.g., "Motorola GrapheneOS partnership"), I have to manually initiate a web search each time. This is inefficient and easy to forget. Other AI platforms offer background task scheduling or keyword monitoring, but often at the cost of privacy (they track your interests server-side).

   Proposed Solution
   Enable user-defined scheduled monitoring tasks within the Lumo client (mobile/web app). The concept would work entirely client-side:

   Create a Watchlist Entry — user specifies:

   Query/topic to monitor (e.g., "GrapheneOS Motorola news")
   Frequency (hourly, daily, weekly, custom cron-like interval)
   Comparison criteria (new results only, significant change detected, etc.)
   Alert method (in-app notification, email via Proton Mail)
   Client-Side Execution — the scheduling happens locally on the user's device. Lumo periodically performs web_search autonomously, compares results with baseline state stored locally, and surfaces differences.

   Privacy Preservation — no server-side logging of watchlists or tracking history. Everything encrypted end-to-end where applicable, with zero-access architecture maintained. Optional opt-in for syncing watchlists across devices via encrypted storage.

   Integration with Existing Features — leverage Lumo 2.0's Persistent Memory to remember previous search baselines. Leverage Private Web Search to avoid external data leaks during queries.

   Use Cases
   Journalists/Researchers: Track breaking developments on stories of interest without revealing query patterns.
   Enterprise IT Security: Monitor threat intelligence feeds or vulnerability disclosures relevant to organization infrastructure.
   Legal/Compliance Teams: Watch regulatory updates on specific topics without internal logs revealing sensitive priorities.
   Consumers: Track product releases, policy changes, or service updates privately (like the Motorola-GrapheneOS-Proton scenario we've been discussing).

   Implementation Considerations (Technical Notes)
   Since Proton already supports zero-access encryption, client-side processing, and encrypted sync across devices, most infrastructure pieces may already exist:

   Scheduling: Could run as background task using native OS scheduler (not Lumo server polling)
   Baseline Storage: Local SQLite/IndexedDB with encrypted snapshot of last-known-good state
   Comparison Logic: Simple diff algorithm comparing search result hashes or keywords
   Notifications: Push notifications via standard platform channels (no server involvement beyond delivery trigger)
   Cross-device Sync: Optional, encrypted via Proton's existing key management system
   Key constraint: Do NOT store watchlist definitions on Proton servers unless explicitly encrypted by client (E2EE), and ensure no metadata leakage occurs.

   Why Now?
   With Lumo 2.0 launching on June 30, 2026, featuring image generation, persistent memory, and private web search, the foundation is essentially ready. Adding scheduled monitoring would naturally extend Lumo's unique value proposition as the only AI assistant that doesn't require compromising privacy for automation.

   This feature would differentiate Lumo dramatically from ChatGPT, Claude, Gemini, and Copilot — all of which either track user activity server-side or lack sophisticated background task capabilities.

   Hi Proton Team,

   I'm a long-time Proton user who relies heavily on GrapheneOS + Lumo as part of a de-Googled mobile workflow. I love that Lumo 2.0 now has private web search and persistent memory — these features make it an incredibly powerful tool for privacy-conscious professionals.

   That said, there's one gap between what Lumo offers today and what would make it a true competitor to mainstream AI assistants with automation capabilities: the inability to set up proactive, scheduled monitoring of topics or changes.

   Currently, if I want to track whether something new has been published about a specific topic… more

   4 votes

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6. 4) Lumo Pages

   Lumo Pages: Collaborate on documents with Lumo (either as a product in Lumo or Proton Docs)
   Next post: https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50637332-5-image-uploads

   21 votes

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7. Pay-as-you-go option alongside subscriptions

   Since I assume you may eventually add more capable, larger, and more expensive models, such as Kimi K3, it would be great to have an alternative option for occasional users.

   Something similar to what OpenRouter and NanoGPT offer: a prepaid, usage-based credit system rather than a traditional fixed monthly subscription. Users could add funds to their account balance, and each model request would deduct credits based on the model used, token usage, and pricing.

   Alongside this, it would also be nice to have more advanced generation settings, such as a custom system prompt, the option to use the base/vanilla model behavior where supported, adjustable reasoning effort, temperature controls, and similar parameters.

   I think this would be especially useful for people who don't use Lumo frequently enough to justify a monthly subscription but would still like occasional access to more capable or expensive models.

   Since I assume you may eventually add more capable, larger, and more expensive models, such as Kimi K3, it would be great to have an alternative option for occasional users.

   Something similar to what OpenRouter and NanoGPT offer: a prepaid, usage-based credit system rather than a traditional fixed monthly subscription. Users could add funds to their account balance, and each model request would deduct credits based on the model used, token usage, and pricing.

   Alongside this, it would also be nice to have more advanced generation settings, such as a custom system prompt, the option to use the base/vanilla model… more

   3 votes

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8. Voice to be fully compatible with downloadable voices.

   Hello

   i want to be clear, i am not doing another "add voice", but i am suggesting something that i hope will get implemented once voice is used

   I currently use piper for tts since i don't like the idea of all the companies to take everything i write to get registered

   and well that is the idea. piper already exist and also we can download different voices. Including non English

   On top of piper existing, i do hope that this will severely reduce the pressure to implement it.

   And please understand that while for stt, aka the reverse, i would strongly suggest to make it being saved on proton drive, because we will use more and more voice to voice if what i suggested gets added.... ok i did not explain correctly

   Due to the only one suggestion, my suggestion is just the title. I just added the reverse as a "please keep in mind" and not as an actual suggestion (aka i don't want the suggestion to get removed or to add another suggestion just for this).

   Thank you

   Hello

   i want to be clear, i am not doing another "add voice", but i am suggesting something that i hope will get implemented once voice is used

   I currently use piper for tts since i don't like the idea of all the companies to take everything i write to get registered

   and well that is the idea. piper already exist and also we can download different voices. Including non English

   On top of piper existing, i do hope that this will severely reduce the pressure to implement it.

   And please understand that while for stt, aka the reverse, i… more

   3 votes

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9. iOS app swipe side bar on left

   I’d like to be able to swipe the left sidebar with my finger in the iOS app both in and out.

   Right now you have to tap the sidebar toggle.

   4 votes

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10. 4 week View like in Google Calendar

    4 week view as an option for the drop down that currently has 'Day', 'Week', 'Month'.
    A 4 week view is nice because it will keep the calendar current when using Month view. ex, if its the last week of the month, the month view is 3-4 weeks of past events rather than being able to see the next 4 weeks of events.

    3 votes

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11. print calendar

    I have Parkinson's disease and cannot write. Being able to print my calendar would be beneficial.

    13 votes

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12. ghost mode (and/or web search) saved

    Hi there,

    after I started using Lumo for a while, I like to use the ghost mode by default. However, under current setting (both on webpage and on Android app) I have to switch Lumo to ghost mode (and turn on web search) every time. Can we make it a setting to use the ghost mode (and/or web search) by default? It will save a lot of effort.

    Thanks.

    By the way, I like Lumo very much. After I found it, it became my main AI assistance.

    24 votes

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13. Let us click on our history to see all of our chats!

    I am currently using the android app (APK) and noticed that when I don't have everything in a project folder, it's hard to scroll down through my history. I'd like to be able to click the history for a tab and scroll through there to look for old chats. I do use search but sometimes what key words I look for overlap. I can scroll just fine on the desktop version. Wish I could do a mock image of what I mean to post here but I don't see a way to upload images here.

    5 votes

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14. Add Lumo's Logo and Mascot Info to the Knowledge Base

    Users sometimes reference Lumo's logo or mascot during conversations. However, Lumo lacks awareness of these details and must respond with uncertainty when they're brought up.

    Including official branding descriptions in Lumo's knowledge base would allow for accurate responses rather than hedged guesses or deferrals.

    4 votes

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15. Maybe Lumo could break down tasks into smaller tasks while doing the task: It could help with calculating the time for a specific task and .

    Maybe Lumo could break down tasks into smaller tasks while doing the task: It could help with calculating the time for a specific task and subtasks.

    3 votes

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16. Make Custom Lumos available in Android app

    See title.

    3 votes

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17. A Lumo-Note addon where one can store important things like "best of chats", "tips", "coping strategies", "code snippets", "favorite answers

    A Lumo-Note addon where one can store important things like "best of chats", "tips", "coping strategies", "code snippets", "favorite answers",...

    3 votes

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18. Embedded images and preview-style links in responses

    It would be great if when, comparing different products, for example, Lumo could embed images and links in-line in the response rather than trying to dig through the Sources section at the very bottom of the message.

    3 votes

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19. Support AGENTS.md or similar global configuration file for automatic context

    Allow users to define a markdown file (e.g., AGENTS.md) that Lumo reads automatically at session start, providing global context like tech stack, coding standards, infrastructure constraints, and behavioral rules. This would:
    - Eliminate repetitive manual context-pasting per session
    - Work across all conversations (not project-scoped)
    - Support version-controlled configuration (Git repos)
    - Align with emerging AGENTS.md standard used by other AI tools (Junie AI, GitHub Copilot, Aider, Gemini CLI)

    Free-tier compatible since it doesn't require persistent storage — just file parsing at session start. File could be stored on Proton Drive.

    3 votes

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20. Make chats downloadable for personal archiving

    Why are Lumo chats not downloadable? This is most cumbersome in 2026. While chats are ostensibly saved with a Lumo account, they are subjected to being abridged (for "lengthy" chats) and totally unavailable without internet. So what is the deal? Is it a Proton encryption thing or have you just not gotten around to it or what?

    3 votes

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