agent: lumotia-rebrand — docs, scripts, root config, residuals

Phase 9 of the rebrand cascade. Sweep covers everything the Phase 8
frontend pass deliberately skipped: docs/, root markdown, scripts,
Cargo.toml descriptions, code comments that survived earlier
word-boundary sed, plus a handful of identifiers caught on the final
verify pass.

transcription-app changes:
- README.md, HANDOVER.md, KNOWN-ISSUES.md, run.sh — magnotia/Magnotia
  -> lumotia/Lumotia.
- docs/ — sweep across all subdirs except docs/handovers/ (preserved
  as immutable audit trail). Includes architecture-map references
  to magnotia_core::*, magnotia_storage::*, etc. now pointing at
  lumotia_*; dev-setup.md tracing output examples (lumotia_startup
  target); brief/ + superpowers/ + issues/ + whisper-ecosystem/ +
  audit/.
- Cargo.toml descriptions on 9 crates (core, audio, cloud-providers,
  hotkey, llm, mcp, plus referenced others).
- crates/core/src/{error,hardware,recommendation,paths}.rs +
  crates/audio/src/wav.rs + crates/llm/src/model_manager.rs +
  crates/cloud-providers/src/keystore.rs + crates/mcp/src/lib.rs —
  doc comments and a model-manager user-agent string.
- Caught on final pass: BroadcastChannel("magnotia_task_sync") -> ...
  ("lumotia_task_sync"); magnotia_locale i18n localStorage key
  renamed + migration shim added; CSS keyframe names
  magnotiaPulse / magnotiaBar / magnotiaFade renamed in the design-
  system kit; magnotia_viewer_item / magnotia_viewer_mode handoff
  keys renamed in HistoryPage + viewer/+page.svelte; src/assets/
  wordmark.svg text.
- src-tauri/src/lib.rs comment cleanup ("magnotia era" was sed'd
  to "lumotia era" earlier — restored).

Preserved (intentional):
- crates/core/src/paths.rs — keeps "magnotia" / "Magnotia" / ".magnotia"
  legacy detection strings in legacy_and_target_paths() so the
  migration shim can still find user data from the magnotia era.
- src/lib/stores/{page,focusTimer}.svelte.ts + src/lib/i18n/index.ts
  — migration call sites reference the legacy magnotia keys
  deliberately.
- docs/handovers/ — historical audit trail.

cargo build --workspace passes. npm run check: 0 errors / 0 warnings
(3958 files). cargo test --workspace: 339 pass / 0 fail.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

docs/brief/README.md

@@ -1,12 +1,12 @@
-<!-- Source: Magnotia Master Brief — split 2026/03/20 -->
+<!-- Source: Lumotia Master Brief — split 2026/03/20 -->
 
-# Magnotia — Master Brief Index
+# Lumotia — Master Brief Index
 
 **Last updated:** 2026/03/20
 **Status:** MVP — approaching closed beta
 **Owner:** Jake (personal project, potential roll-up into CORBEL Ltd if successful)
 
-Modular split of the Magnotia master brief. Each file is self-contained. The original lives at `input/inbox/magnotia-master-brief.md`.
+Modular split of the Lumotia master brief. Each file is self-contained. The original lives at `input/inbox/lumotia-master-brief.md`.
 
 ---
 
@@ -14,7 +14,7 @@ Modular split of the Magnotia master brief. Each file is self-contained. The ori
 
 | § | File | Summary |
 |---|---|---|
-| 1 | [what-magnotia-is.md](what-magnotia-is.md) | Core thesis — voice-first, local-only, zero-friction productivity for executive dysfunction |
+| 1 | [what-lumotia-is.md](what-lumotia-is.md) | Core thesis — voice-first, local-only, zero-friction productivity for executive dysfunction |
 | 2 | [target-audience.md](target-audience.md) | Beachhead (neurodivergent) and secondary audiences |
 | 3 | [tech-stack.md](tech-stack.md) | Tauri/Rust/Svelte, Whisper, local LLM, RAG, MCP, sync, dependencies |
 | 4 | [feature-set.md](feature-set.md) | MVP features, post-MVP, and parked ideas |
@@ -30,7 +30,7 @@ Modular split of the Magnotia master brief. Each file is self-contained. The ori
 
 | File | Summary |
 |---|---|
-| [micro-saas-playbook.md](micro-saas-playbook.md) | 9 patterns from Starter Story research, each mapped to Magnotia's position |
+| [micro-saas-playbook.md](micro-saas-playbook.md) | 9 patterns from Starter Story research, each mapped to Lumotia's position |
 
 ## Part 3: Market Research
 
@@ -38,7 +38,7 @@ Modular split of the Magnotia master brief. Each file is self-contained. The ori
 |---|---|---|
 | 11 | [market-size-demographics.md](market-size-demographics.md) | TAM, psychology, economic upside |
 | 12 | [user-sentiment.md](user-sentiment.md) | Abandon-shame cycle, frustrations, demand signals |
-| 13 | [competitive-landscape.md](competitive-landscape.md) | Tiimo, Structured, Goblin.tools, and 5 others — plus Magnotia's advantages |
+| 13 | [competitive-landscape.md](competitive-landscape.md) | Tiimo, Structured, Goblin.tools, and 5 others — plus Lumotia's advantages |
 | 14 | [why-current-tools-fail.md](why-current-tools-fail.md) | Cognitive overhead, latency, app fatigue |
 | 15 | [feature-validation.md](feature-validation.md) | Voice input, body doubling, local-first — research backing |
 | 16 | [lifetime-licence-economics.md](lifetime-licence-economics.md) | Affinity, iA Writer, Sublime Text precedents and risks |

docs/brief/appendix-ai-body-doubling.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A2: AI Body Doubling -->
+<!-- Source: Lumotia Master Brief — Appendix A2: AI Body Doubling -->
 
 ## A2. AI Body Doubling — Controlled Studies
 
@@ -15,4 +15,4 @@
 
 **Theoretical basis:** Barkley's (1997) model of ADHD as a disorder of behavioural inhibition prescribes externalisation of executive functions — moving regulatory demands from impaired internal systems into the environment. Body doubling is precisely this: an external source of temporal anchoring, accountability, and arousal regulation.
 
-**Implication for Magnotia:** The low-fi "Focus Room" (section 4) is strongly validated. Combine ambient AI presence with context-aware nudges for maximum effect. The AI option specifically reduces barriers for autistic users whilst maintaining comparable efficacy. Design should include: simulated progress indicators, rhythmic work pacing cues, and subtle ambient motion for divided attention support.
+**Implication for Lumotia:** The low-fi "Focus Room" (section 4) is strongly validated. Combine ambient AI presence with context-aware nudges for maximum effect. The AI option specifically reduces barriers for autistic users whilst maintaining comparable efficacy. Design should include: simulated progress indicators, rhythmic work pacing cues, and subtle ambient motion for divided attention support.

docs/brief/appendix-cognitive-ergonomics.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A3: Cognitive Ergonomics -->
+<!-- Source: Lumotia Master Brief — Appendix A3: Cognitive Ergonomics -->
 
 ## A3. Cognitive Ergonomics — Visual Crowding and Typography
 
@@ -22,4 +22,4 @@
 **Colour contrast:**
 - **Rello 2012** (*W3C Symposium*): People with dyslexia read fastest with lower-contrast warm pairs like **black on crème** — not black on white. Only 13.64% of dyslexic readers preferred black-on-white vs. 32.67% of controls.
 
-**Implication for Magnotia:** Default to a clean sans-serif with large x-height (Atkinson Hyperlegible or Lexend) with coordinated letter, word, and line spacing controls. Offer warm off-white background options (crème, not white). Never use italic for extended reading. OpenDyslexic should be available as an option but not recommended — spacing is the intervention, not letterform. Most importantly: allow full typographic personalisation, because no single configuration is optimal for all neurodivergent users.
+**Implication for Lumotia:** Default to a clean sans-serif with large x-height (Atkinson Hyperlegible or Lexend) with coordinated letter, word, and line spacing controls. Offer warm off-white background options (crème, not white). Never use italic for extended reading. OpenDyslexic should be available as an option but not recommended — spacing is the intervention, not letterform. Most importantly: allow full typographic personalisation, because no single configuration is optimal for all neurodivergent users.

docs/brief/appendix-evolutionary-psychology.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A7: Evolutionary Psychology and Meta-Insights -->
+<!-- Source: Lumotia Master Brief — Appendix A7: Evolutionary Psychology and Meta-Insights -->
 
 ## A7. Evolutionary Psychology and Meta-Insights
 
@@ -6,4 +6,4 @@
 
 **Meta-insight across all domains:** The populations who need these tools most benefit from them the most. Toli et al. found implementation intention effects of d = 0.99 in clinical populations vs. d = 0.65 in general populations. Joo et al. found spacing interventions specifically help those with elevated visual crowding. Kofler et al. found 75–81% of ADHD cases show the WM deficits that make local-first architecture necessary. A well-designed tool's efficacy curve is steepest for the most impaired users.
 
-**Implication for Magnotia:** The app should feel alive, not static. The convergence of voice-first interaction (reduces navigation complexity), local-first architecture (eliminates latency), and AI presence (provides external regulation) addresses different links in the same causal chain. Each feature amplifies the others.
+**Implication for Lumotia:** The app should feel alive, not static. The convergence of voice-first interaction (reduces navigation complexity), local-first architecture (eliminates latency), and AI presence (provides external regulation) addresses different links in the same causal chain. Each feature amplifies the others.

docs/brief/appendix-hitl-scaffolding.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A5: HITL AI Scaffolding -->
+<!-- Source: Lumotia Master Brief — Appendix A5: HITL AI Scaffolding -->
 
 ## A5. HITL AI Scaffolding — Autonomy-Supportive Design
 
@@ -23,4 +23,4 @@
 4. **Keep the human in the loop** — every AI suggestion requires user confirmation, building executive function rather than atrophying it
 5. **Design with, not for** — participatory design with neurodivergent users produces fundamentally different and better outcomes
 
-**Implication for Magnotia:** The AI agent must be visible, conversational, and interactive — but must never override user autonomy. Every suggestion requires confirmation. The human-in-the-loop feedback mechanism builds metacognitive awareness over time. Users should eventually internalise Magnotia's scaffolding patterns and need them less — that's a feature, not a failure. LLM prompts must be calibrated for neurodivergent cognition, not neurotypical assumptions.
+**Implication for Lumotia:** The AI agent must be visible, conversational, and interactive — but must never override user autonomy. Every suggestion requires confirmation. The human-in-the-loop feedback mechanism builds metacognitive awareness over time. Users should eventually internalise Lumotia's scaffolding patterns and need them less — that's a feature, not a failure. LLM prompts must be calibrated for neurodivergent cognition, not neurotypical assumptions.

docs/brief/appendix-implementation-intentions.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A1: Implementation Intentions -->
+<!-- Source: Lumotia Master Brief — Appendix A1: Implementation Intentions -->
 
 ## A1. Implementation Intentions — Neurological and Clinical Evidence
 
@@ -18,4 +18,4 @@
 - **Gilbert et al. 2009** (*Journal of Experimental Psychology: Learning, Memory, and Cognition*): fMRI shows implementation intentions shift activation from the **lateral rostral prefrontal cortex** (effortful top-down control — impaired in ADHD) to the **medial rostral prefrontal cortex** (automatic stimulus-driven control). Better prospective memory performance with *reduced* overall brain activation.
 - **Paul et al. 2007** (*NeuroReport*): EEG confirms if-then plans normalised the NoGo-P300 amplitude in ADHD children within the **160–312 millisecond window**, consistent with early automatic processing rather than slow deliberate control.
 
-**Implication for Magnotia:** The if-then automation feature and voice-activated micro-stepping are neurologically validated mechanisms with a d = 0.99 effect size in the target population. Voice capture must externalise implementation intentions instantaneously, before executive fatigue occurs. The system should prompt users to rehearse plans at least once (amplifies effect) and support varied cue types: time-based, environmental, and emotional.
+**Implication for Lumotia:** The if-then automation feature and voice-activated micro-stepping are neurologically validated mechanisms with a d = 0.99 effect size in the target population. Voice capture must externalise implementation intentions instantaneously, before executive fatigue occurs. The system should prompt users to rehearse plans at least once (amplifies effect) and support varied cue types: time-based, environmental, and emotional.

docs/brief/appendix-latency-memory.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A4: Latency, Working Memory Decay, and Software Architecture -->
+<!-- Source: Lumotia Master Brief — Appendix A4: Latency, Working Memory Decay, and Software Architecture -->
 
 ## A4. Latency, Working Memory Decay, and Software Architecture
 
@@ -25,4 +25,4 @@
 **Local-first as cognitive ergonomics:**
 - **Kleppmann et al. 2019** (*ACM Onward! '19*): Seven ideals of local-first software. Ideal #1 — "No spinners: your work at your fingertips." Primary copy of data on the user's device means read/write operations at local disk speed (sub-millisecond), not network speed (50–500+ ms). Synchronisation happens asynchronously in background.
 
-**Implication for Magnotia:** Local-first architecture keeps all interactions within Miller's 100ms direct-manipulation threshold, preventing the WM decay → exploration bias → task abandonment cascade. The 90-second setup threshold is a hard design constraint. Voice capture must work in under 3 seconds from app open.
+**Implication for Lumotia:** Local-first architecture keeps all interactions within Miller's 100ms direct-manipulation threshold, preventing the WM decay → exploration bias → task abandonment cascade. The 90-second setup threshold is a hard design constraint. Voice capture must work in under 3 seconds from app open.

docs/brief/appendix-voice-interfaces.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — Appendix A6: Voice User Interfaces -->
+<!-- Source: Lumotia Master Brief — Appendix A6: Voice User Interfaces -->
 
 ## A6. Voice User Interfaces as Executive Bypasses
 
@@ -7,6 +7,6 @@
 - Voice activation bypasses the visual and mechanical bottlenecks of GUI interaction (typing, mouse navigation, visual scanning, sequential menu navigation) — all of which require sustained top-down executive functioning.
 - Vocalisation is approximately **3x faster** than manual keyboard entry.
 - VUI design constraints for cognitive accessibility: engineered pauses between phrases for auditory processing time, options presented in text before requiring selection to avoid overloading verbal working memory.
-- Current voice assistants impose their own setup complexity — Magnotia must minimise this to near-zero.
+- Current voice assistants impose their own setup complexity — Lumotia must minimise this to near-zero.
 
-**Implication for Magnotia:** Voice is not a convenience feature — it is the primary accessibility mechanism. The 3x speed advantage means voice capture preserves working memory traces that would decay during typing. VUI implementation must include processing pauses and visual confirmation of transcribed text before action. The supply-demand gap (47.6% community interest vs. near-zero academic research) represents a significant opportunity for Magnotia to generate its own evidence through ethically designed measurement.
+**Implication for Lumotia:** Voice is not a convenience feature — it is the primary accessibility mechanism. The 3x speed advantage means voice capture preserves working memory traces that would decay during typing. VUI implementation must include processing pauses and visual confirmation of transcribed text before action. The supply-demand gap (47.6% community interest vs. near-zero academic research) represents a significant opportunity for Lumotia to generate its own evidence through ethically designed measurement.

docs/brief/b2b-enterprise.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §19 B2B & Enterprise Angle -->
+<!-- Source: Lumotia Master Brief — §19 B2B & Enterprise Angle -->
 
 ## 19. B2B & Enterprise Angle
 
@@ -18,23 +18,23 @@
 - Explicitly covers ADHD and other neurodivergent conditions under the Equality Act 2010
 - Software subscriptions, planning apps, and coaching are all fundable
 - Deepwrk already operates as an Access to Work-approved service — employees claim subscriptions through their grant
-- **This is the single highest-leverage B2B action Magnotia can take.** Government effectively subsidises the sale.
+- **This is the single highest-leverage B2B action Lumotia can take.** Government effectively subsidises the sale.
 
 ### B2B requirements (if/when pursued)
 - Admin dashboard, SSO (SAML/OAuth), bulk provisioning
 - Anonymised usage analytics for HR (never individual-level data)
-- **Anonymised organisational dashboards.** While Magnotia processes all personal data locally, the B2B tier must output high-level, anonymised telemetry to satisfy enterprise buyers who need metrics to justify software purchases. Examples: "Your team saved 40 hours in task-planning this month", "Average time-to-capture across your organisation: 6 seconds", "82% of users returned after a gap of 3+ days." Critically, these metrics must be aggregated (minimum cohort size of 10 before any data is surfaced), never traceable to individuals, and opt-in at both the user and organisation level. The local-first architecture makes this possible: anonymised summaries can be generated on-device and transmitted as aggregate statistics only — raw data never leaves the machine.
+- **Anonymised organisational dashboards.** While Lumotia processes all personal data locally, the B2B tier must output high-level, anonymised telemetry to satisfy enterprise buyers who need metrics to justify software purchases. Examples: "Your team saved 40 hours in task-planning this month", "Average time-to-capture across your organisation: 6 seconds", "82% of users returned after a gap of 3+ days." Critically, these metrics must be aggregated (minimum cohort size of 10 before any data is surfaced), never traceable to individuals, and opt-in at both the user and organisation level. The local-first architecture makes this possible: anonymised summaries can be generated on-device and transmitted as aggregate statistics only — raw data never leaves the machine.
 - GDPR compliance documentation, zero-IT-lift deployment
 - Users must never be identifiable as neurodivergent to their employer
 - Position under "universal design" framing — beneficial for all employees
 
 ### Enterprise IT deployment
-Magnotia's local-first architecture is simultaneously its biggest B2B selling point and its biggest deployment challenge. Key considerations:
+Lumotia's local-first architecture is simultaneously its biggest B2B selling point and its biggest deployment challenge. Key considerations:
 
 - **Local AI model size.** Whisper models range from ~75MB (tiny) to ~1.5GB (large). Enterprise IT teams may flag large binaries or models downloaded to employee machines. Solution: bundle a smaller model by default (tiny/base) with optional upgrade to larger models. Document the model sizes and what they do for IT review.
-- **No cloud = no enterprise compliance headaches.** Because Magnotia processes everything on-device with no data transmitted externally, it bypasses the cloud security review, vendor risk assessment, and data processing agreements that typically delay enterprise software procurement by 3–6 months. This is a genuine competitive advantage — frame it explicitly in B2B sales materials.
-- **Installation permissions.** Enterprise-managed machines often restrict software installation. Magnotia must be deployable via MDM (Mobile Device Management) tools like Microsoft Intune or Jamf. Tauri's MSIX (Windows) and DMG (macOS) formats are compatible with standard enterprise deployment pipelines.
-- **No internet dependency.** Magnotia does not require network access for core functionality. This makes it deployable in air-gapped, high-security, or restricted-network environments — a strong selling point for defence, legal, and healthcare settings.
+- **No cloud = no enterprise compliance headaches.** Because Lumotia processes everything on-device with no data transmitted externally, it bypasses the cloud security review, vendor risk assessment, and data processing agreements that typically delay enterprise software procurement by 3–6 months. This is a genuine competitive advantage — frame it explicitly in B2B sales materials.
+- **Installation permissions.** Enterprise-managed machines often restrict software installation. Lumotia must be deployable via MDM (Mobile Device Management) tools like Microsoft Intune or Jamf. Tauri's MSIX (Windows) and DMG (macOS) formats are compatible with standard enterprise deployment pipelines.
+- **No internet dependency.** Lumotia does not require network access for core functionality. This makes it deployable in air-gapped, high-security, or restricted-network environments — a strong selling point for defence, legal, and healthcare settings.
 - **Automatic updates.** Enterprise IT will want to control update rollouts. Provide the option to disable auto-updates and instead distribute updates through enterprise channels.
 
 ### Channel partners

docs/brief/competitive-landscape.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §13 Competitive Landscape (Extended) -->
+<!-- Source: Lumotia Master Brief — §13 Competitive Landscape (Extended) -->
 
 ## 13. Competitive Landscape (Extended)
 
@@ -44,8 +44,8 @@
 - Tasks, habits, calendar, mood tracking, journalling with end-to-end encryption on desktop
 - Privacy-focused, small user base
 
-### Magnotia's advantages over the entire field
-| Magnotia | The field |
+### Lumotia's advantages over the entire field
+| Lumotia | The field |
 |---|---|
 | Cross-platform desktop + mobile (Tauri) | Almost all competitors are mobile-first or web-only |
 | Voice as primary input method | No mature competitor integrates voice into a full planning system |
@@ -59,4 +59,4 @@
 3. **Architecture:** Privacy-conscious and offline-first users served only by open-source tools and tiny startups.
 4. **Pricing:** Only Structured offers lifetime. Subscription fatigue is extreme in this demographic.
 
-Magnotia addresses all four simultaneously. No current competitor does.
+Lumotia addresses all four simultaneously. No current competitor does.

docs/brief/design-principles.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §4 Design Principles -->
+<!-- Source: Lumotia Master Brief — §4 Design Principles -->
 
 ### Design principles
 
@@ -21,7 +21,7 @@
 #### Interaction & UX
 - **Low-dopamine design.** Non-judgmental tone throughout. No guilt messaging for missed tasks. No aggressive review prompts.
 - **WIP limits as a design constraint.** The interface must never present more than 1–3 active tasks simultaneously on the primary view. AI prioritises; the UI constrains. A brain dump can contain 50 items — the "Now" view shows only the next action. This is not a nice-to-have; it is the core mechanism for preventing the freeze response.
-- **Automated context restoration.** Working memory traces decay within ~8 seconds of interruption. If a user clicks away, gets distracted, or closes the app mid-task, Magnotia must perfectly preserve their exact state — cursor position, active timer, active task, scroll position — so they can resume with zero "Where was I?" cognitive latency. This must be seamless and automatic. No "Resume session?" dialogue. Just open the app and be exactly where you left off.
+- **Automated context restoration.** Working memory traces decay within ~8 seconds of interruption. If a user clicks away, gets distracted, or closes the app mid-task, Lumotia must perfectly preserve their exact state — cursor position, active timer, active task, scroll position — so they can resume with zero "Where was I?" cognitive latency. This must be seamless and automatic. No "Resume session?" dialogue. Just open the app and be exactly where you left off.
 - **Literal labels always.** Ambiguous icons (standalone gear, hamburger menu) force literal thinkers to guess function, expending precious mental energy. Always pair icons with literal text labels.
 - **Progressive disclosure.** Break complex onboarding or tasks down to reveal only the immediate next step, preventing the brain from freezing.
 - **Motion control.** All non-essential animation and auto-playing media must be off by default or controlled via a prominent "Reduce Motion" / "Calm Mode" toggle. Unexpected animations can cause physical distress and sensory overload.
@@ -29,7 +29,7 @@
 
 #### Onboarding
 - Must be understandable within 30 seconds. If a neurodivergent user can't figure it out immediately, they won't return.
-- **90-second hard threshold.** Empirical HCI research (see Appendix A4) shows that tools taking longer than 90 seconds to configure trigger task abandonment cascades in ADHD users, increasing cognitive load by 2.3x. No feature in Magnotia should require more than 90 seconds of setup. Voice capture must work in under 3 seconds from app open.
+- **90-second hard threshold.** Empirical HCI research (see Appendix A4) shows that tools taking longer than 90 seconds to configure trigger task abandonment cascades in ADHD users, increasing cognitive load by 2.3x. No feature in Lumotia should require more than 90 seconds of setup. Voice capture must work in under 3 seconds from app open.
 - Progressive disclosure applies here especially — show one step at a time, never the full complexity.
 
 #### Future consideration: adaptive UI

docs/brief/desktop-distribution.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §17 Desktop Distribution Deep Dive -->
+<!-- Source: Lumotia Master Brief — §17 Desktop Distribution Deep Dive -->
 
 ## 17. Desktop Distribution Deep Dive
 

docs/brief/distribution-strategy.md

@@ -1,15 +1,15 @@
-<!-- Source: Magnotia Master Brief — §7 Distribution Strategy -->
+<!-- Source: Lumotia Master Brief — §7 Distribution Strategy -->
 
 ## 7. Distribution Strategy
 
 ### Marketing positioning
 
-**What Magnotia is NOT:** A to-do list. A habit tracker. Another productivity app. The market is flooded with generic productivity tools, and ADHD users have severe app fatigue from trying and abandoning dozens of them. Positioning Magnotia in that category is death.
+**What Lumotia is NOT:** A to-do list. A habit tracker. Another productivity app. The market is flooded with generic productivity tools, and ADHD users have severe app fatigue from trying and abandoning dozens of them. Positioning Lumotia in that category is death.
 
-**What Magnotia IS:** An "external brain." A prosthetic prefrontal cortex designed for cognitive offloading. The app does the heavy cognitive lifting — it takes raw, messy thoughts via voice and automatically decomposes them into verb-led micro-steps (e.g. "Clean the house" → "Pick up one item of clothing from the bedroom floor").
+**What Lumotia IS:** An "external brain." A prosthetic prefrontal cortex designed for cognitive offloading. The app does the heavy cognitive lifting — it takes raw, messy thoughts via voice and automatically decomposes them into verb-led micro-steps (e.g. "Clean the house" → "Pick up one item of clothing from the bedroom floor").
 
 **Key messaging pillars:**
-1. **"Your brain moves fast. Magnotia catches it."** — Voice-first capture, zero friction, thoughts don't get lost.
+1. **"Your brain moves fast. Lumotia catches it."** — Voice-first capture, zero friction, thoughts don't get lost.
 2. **"Local. Private. Yours forever."** — Nothing leaves your device. No cloud. No subscriptions for core features. Your vulnerabilities are never exposed.
 3. **"Built by a neurodivergent brain, for neurodivergent brains."** — Authenticity. Jake has executive dysfunction. This isn't corporate empathy theatre.
 4. **"They took away lifetime. We never will."** — Direct competitive positioning against Tiimo's subscription-only model.
@@ -19,7 +19,7 @@
 ### Distribution channels
 
 **Desktop distribution:**
-- **Primary:** Direct download from magnotia.app via Lemon Squeezy or Paddle (5% + 50p per transaction). Signed and notarised builds for macOS (£79/year Apple Developer Programme) and code-signed for Windows (EV certificate, £240–£480/year).
+- **Primary:** Direct download from lumotia.app via Lemon Squeezy or Paddle (5% + 50p per transaction). Signed and notarised builds for macOS (£79/year Apple Developer Programme) and code-signed for Windows (EV certificate, £240–£480/year).
 - **Microsoft Store (supplementary):** Free to list, 250M monthly active users, 0% commission if using own payment system. Good for discovery.
 - **Mac App Store (evaluate):** 15% commission under Small Business Programme, sandboxing may limit Tauri features. Most successful indie Mac apps distribute directly.
 - **Linux:** Flathub (1M+ active users, pre-installed on major distros) + AppImage for direct download.
@@ -42,7 +42,7 @@
 **SEO opportunity:** Long-tail terms like "ADHD app for Windows" and "focus timer desktop app" face lower competition than mobile-focused searches. Obsidian gets 52.9% of traffic from organic search — proof that desktop-first apps can win on SEO.
 
 ### Phase 0 — Pre-beta (this week)
-- [ ] Register domain (magnotia.app or getmagnotia.app)
+- [ ] Register domain (lumotia.app or getmagnotia.app)
 - [ ] Build one-page landing page on Carrd (£16/year) or Framer (free tier). Hero must answer three questions in under 5 seconds: what is this, who is it for, what do I do next. Landing page copy written at 5th–7th grade reading level (converts at 11.1% vs. 5.3% for university-level copy). Include 15–30 second silent auto-play GIF showing voice-to-task flow. Single CTA button.
 - [ ] Set up waitlist with LaunchList (£65 one-time). Includes gamified referral mechanics, anti-spam filtering. Alternative: ConvertKit (free to 1,000 subscribers) + Tally form.
 - [ ] Set up analytics with Plausible.io (privacy-friendly, no cookie banner needed).
@@ -57,8 +57,8 @@
 - [ ] Run Van Westendorp pricing survey via Tally (free) to validate £49 price point before committing
 
 ### Phase 2 — Community seeding (weeks 2–4)
-- [ ] **Reddit (priority 1):** r/ADHD (2.1M members), r/adhdwomen, r/ADHD_Programmers, r/autism, r/neurodiversity, r/executivedysfunction. Spend 4+ weeks genuinely contributing before any mention of Magnotia (Reddit 10:1 rule). When ready: authentic posts, no sales pitches. Use F5Bot (free) to monitor keywords: "ADHD app", "voice to-do", "ADHD task manager."
-- [ ] **Obsidian/PKM communities (priority 2):** Show Magnotia → Obsidian workflow (voice dump → transcription → tasks → Obsidian vault). Use as amplifiers, not primary sales channel.
+- [ ] **Reddit (priority 1):** r/ADHD (2.1M members), r/adhdwomen, r/ADHD_Programmers, r/autism, r/neurodiversity, r/executivedysfunction. Spend 4+ weeks genuinely contributing before any mention of Lumotia (Reddit 10:1 rule). When ready: authentic posts, no sales pitches. Use F5Bot (free) to monitor keywords: "ADHD app", "voice to-do", "ADHD task manager."
+- [ ] **Obsidian/PKM communities (priority 2):** Show Lumotia → Obsidian workflow (voice dump → transcription → tasks → Obsidian vault). Use as amplifiers, not primary sales channel.
 - [ ] **TikTok product seeding (priority 3):** DM 20–50 ADHD micro-influencers (1K–50K followers) with free lifetime licences. Zero obligation to post. Cost per seed: £0 (digital product). Outreach must reference a specific video the creator made. Follow up with affiliate link at 25–30% commission via Lemon Squeezy.
 - [ ] Submit to ADHD UK discovery platform and ADDitude Magazine tool roundups.
 

docs/brief/feature-set.md

@@ -1,18 +1,18 @@
-<!-- Source: Magnotia Master Brief — §4 Feature Set -->
+<!-- Source: Lumotia Master Brief — §4 Feature Set -->
 
 ## 4. Feature Set
 
 ### Core MVP (shipping with beta)
 - Local AI transcription (Whisper, on-device)
 - Auto-populating to-do lists from transcriptions
-- **Visual time representation.** Tasks displayed as visual blocks of time or countdowns, not just text lists. Traditional text-based to-do lists trigger overwhelm — visual timelines directly combat time blindness. This is the #1 community-requested feature and Tiimo's primary strength. Magnotia must match or exceed it from day one. Time should be externalised using visual countdown timers (e.g. shrinking colour disks, filling progress rings) rather than standard digital clocks — making the passage of time concrete and anchoring focus for users with time agnosia.
+- **Visual time representation.** Tasks displayed as visual blocks of time or countdowns, not just text lists. Traditional text-based to-do lists trigger overwhelm — visual timelines directly combat time blindness. This is the #1 community-requested feature and Tiimo's primary strength. Lumotia must match or exceed it from day one. Time should be externalised using visual countdown timers (e.g. shrinking colour disks, filling progress rings) rather than standard digital clocks — making the passage of time concrete and anchoring focus for users with time agnosia.
 - **WIP limits.** The main screen must mathematically restrict how many active tasks are visible at once. A "Now" column showing only 1–3 items maximum. Auto-generated task lists that dump 30 items onto a screen will instantly trigger the freeze response. The AI can prioritise; the UI must constrain.
 - History of past voice notes and transcriptions
 - Light/dark mode
 - Templates with local AI agent (contextual text under headings with associated metadata)
 - Vocabulary profiles (custom dictionaries for specialist terms — e.g. DND NPC/location names, technical jargon)
 - Transcription of uploaded voice notes and media files
-- **Open data format.** All transcripts and task lists stored locally in plain text, JSON, or Markdown. Essential for the privacy-first and PKM audience. Enables the Magnotia → Obsidian workflow promised in the distribution strategy. Users must be able to export, move, and own their data without vendor lock-in.
+- **Open data format.** All transcripts and task lists stored locally in plain text, JSON, or Markdown. Essential for the privacy-first and PKM audience. Enables the Lumotia → Obsidian workflow promised in the distribution strategy. Users must be able to export, move, and own their data without vendor lock-in.
 
 ### Post-MVP features (validated, designed, not yet prioritised)
 - **AI-powered micro-stepping with "just start" timer.** Decomposing abstract goals into hyper-specific actionable steps. The local AI agent must generate micro-steps that begin with highly specific, low-friction action verbs. Linguistic rules: every generated step must start with a concrete physical verb, target one single action, and be completable in under 5 minutes. Example: "Clean room" → "Pick up one shirt from the floor." NOT "Organise your bedroom" (still abstract, still paralysing). The goal is to bypass executive dysfunction by removing all ambiguity about what "starting" means. **Paired with a 2-minute or 5-minute "just start" focus timer.** Committing to a task for just five minutes bypasses internal resistance and builds micro-momentum — users frequently work past the timer. The timer should be a single tap from any micro-step, visually prominent, and use a shrinking colour disk or similar visual countdown (not a digital clock) to externalise the passage of time and combat time blindness.
@@ -25,5 +25,5 @@
 - **Read Page Aloud (text-to-speech).** A simple TTS function that reads transcriptions, task lists, or AI-generated micro-steps aloud. Engages auditory processing alongside visual, which improves retention and comprehension for ADHD users. Particularly valuable during the "Clarify" stage when reviewing a brain dump. Use OS-native TTS engines (available on all target platforms) to avoid additional dependencies. Should be a single-tap action from any text view.
 
 ### Parked / future consideration
-- **AI body doubling (low-fi implementation).** Research strongly validates the concept (rated #1 ADHD workplace strategy in 2025 ADDitude survey; 12-week study showed focus doubling, 30% anxiety reduction, £37 public value per £1 invested). Body doubling doesn't require high-fidelity interaction — simple ambient presence and shared monitoring work. A "low-fi" version could be a "Focus Room" interface showing abstract statuses ("AI is sorting your tasks…", "3 other Magnotia users are in deep work right now") to provide the feeling of parallel presence without complex engineering. This sidesteps the need for video, voice, or real-time communication. Potential future subscription feature. Not in MVP scope but worth prototyping early — the implementation cost is low relative to the validated demand.
+- **AI body doubling (low-fi implementation).** Research strongly validates the concept (rated #1 ADHD workplace strategy in 2025 ADDitude survey; 12-week study showed focus doubling, 30% anxiety reduction, £37 public value per £1 invested). Body doubling doesn't require high-fidelity interaction — simple ambient presence and shared monitoring work. A "low-fi" version could be a "Focus Room" interface showing abstract statuses ("AI is sorting your tasks…", "3 other Lumotia users are in deep work right now") to provide the feeling of parallel presence without complex engineering. This sidesteps the need for video, voice, or real-time communication. Potential future subscription feature. Not in MVP scope but worth prototyping early — the implementation cost is low relative to the validated demand.
 - Temptation bundling — cut (OS-level integration nightmare across platforms, essentially impossible on iOS). Replaced by energy-aware task sequencing (see post-MVP features).

docs/brief/feature-validation.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §15 Feature Validation from Research -->
+<!-- Source: Lumotia Master Brief — §15 Feature Validation from Research -->
 
 ## 15. Feature Validation from Research
 

docs/brief/influencer-landscape.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §18 ADHD Content Creator & Influencer Landscape -->
+<!-- Source: Lumotia Master Brief — §18 ADHD Content Creator & Influencer Landscape -->
 
 ## 18. ADHD Content Creator & Influencer Landscape
 
@@ -19,7 +19,7 @@
 
 ### UK advocacy organisations
 - **ADHD Foundation:** Largest user-led ADHD organisation in Europe
-- **ADHD UK:** Launched a discovery platform reviewing tools and strategies — natural fit for Magnotia
+- **ADHD UK:** Launched a discovery platform reviewing tools and strategies — natural fit for Lumotia
 - **Neurodiversity in Business:** Corporate-facing charity
 
 ### Sponsorship costs

docs/brief/key-risks.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §8 Key Risks -->
+<!-- Source: Lumotia Master Brief — §8 Key Risks -->
 
 ## 8. Key Risks
 
@@ -9,9 +9,9 @@
 | Zero distribution infrastructure | 90-day calendar above. LaunchList + Reddit + TikTok seeding + Product Hunt. Total budget: £81. |
 | Lifetime pricing limits long-term revenue | Cloud tier provides recurring revenue. Monitor conversion rate. Launch pricing for first 500 creates urgency. |
 | Scope creep from secondary audiences (TTRPG, B2B) | Neurodivergent beachhead ONLY until validated. No feature work for secondary audiences until £2K MRR. |
-| Nobody has seen Magnotia yet — zero external validation | Beta this week fixes this. Share embarrassingly early. |
+| Nobody has seen Lumotia yet — zero external validation | Beta this week fixes this. Share embarrassingly early. |
 | ADHD app market high abandonment rate | Design around the shame spiral. Welcome users back without judgement. Never punish inconsistency. Grace day recovery rate is the key metric. |
 | Lifetime pricing economics break if cloud costs grow | Keep cloud tier strictly optional. Base product must remain sustainable on one-time revenue alone. |
-| EAA compliance required as Magnotia grows beyond microenterprise threshold | Build to WCAG 2.2 AA from day one. Publish VPAT before competitors do. |
+| EAA compliance required as Lumotia grows beyond microenterprise threshold | Build to WCAG 2.2 AA from day one. Publish VPAT before competitors do. |
 | cr-sqlite development pace has slowed since late 2024 | Core CRDT logic is sound and self-contained. Fallback: Automerge + SQLite BLOB storage, reusing entire iroh/mDNS networking stack unchanged. |
 | Code signing costs are unavoidable | macOS £79/year + Windows £240–£480/year = ~£320–£560/year minimum. Budget from first revenue. |

docs/brief/legal-compliance.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §6 Legal & Compliance -->
+<!-- Source: Lumotia Master Brief — §6 Legal & Compliance -->
 
 ## 6. Legal & Compliance
 
@@ -9,8 +9,8 @@
 - **Budget impact:** ~£320–£560/year minimum for macOS + Windows signing. Non-optional cost.
 
 ### GDPR position (local-only tier)
-- **Jake is NOT a data processor.** Magnotia runs entirely on-device. No data is transmitted, stored, or visible to the developer. Same legal position as distributing a word processor.
-- **Special category data:** Marketing targets neurodivergent users, but the app does not collect, store, or infer diagnosis information. Per ICO guidance, a "possible inference" is not special category data — only "reasonable certainty" triggers Article 9. Magnotia is on safe ground here.
+- **Jake is NOT a data processor.** Lumotia runs entirely on-device. No data is transmitted, stored, or visible to the developer. Same legal position as distributing a word processor.
+- **Special category data:** Marketing targets neurodivergent users, but the app does not collect, store, or infer diagnosis information. Per ICO guidance, a "possible inference" is not special category data — only "reasonable certainty" triggers Article 9. Lumotia is on safe ground here.
 - **Voice data:** Processed locally by Whisper. Never leaves the device. No third-party processor involved.
 
 ### GDPR position (cloud tier — when added)
@@ -22,10 +22,10 @@
 - Enforceable from 28 June 2025. Applies to consumer-facing digital products sold in the EU, including apps.
 - Technical benchmark: EN 301 549 V3.2.1, incorporating WCAG 2.1 Level AA.
 - Applies to non-EU companies selling to EU customers (similar extraterritorial reach to GDPR).
-- Microenterprises (fewer than 10 employees, under €2M turnover) are currently exempt — Magnotia qualifies initially.
+- Microenterprises (fewer than 10 employees, under €2M turnover) are currently exempt — Lumotia qualifies initially.
 - **The UK has not adopted the EAA.** UK relies on the Equality Act 2010 ("reasonable adjustments") with no specific technical standards enforced.
 - **Competitive opportunity:** Neither Tiimo nor Structured publishes a VPAT or formal accessibility conformance report. Publishing one first opens doors to government procurement, educational institutions, and enterprise contracts.
-- Build to WCAG 2.2 AA from day one — this aligns with Magnotia's design philosophy and creates a genuine compliance moat.
+- Build to WCAG 2.2 AA from day one — this aligns with Lumotia's design philosophy and creates a genuine compliance moat.
 
 ### Required before paid launch
 - [ ] Privacy policy (no data leaves device, no telemetry, no identifying analytics)

docs/brief/lifetime-licence-economics.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §16 Lifetime Licence Economics -->
+<!-- Source: Lumotia Master Brief — §16 Lifetime Licence Economics -->
 
 ## 16. Lifetime Licence Economics
 
@@ -6,7 +6,7 @@
 - **Affinity (Serif):** Perpetual licences (~£40/app, £135 suite) for 23 years. 53% profit margins. Acquired by Canva for ~£410M.
 - **iA Writer:** £40 Mac, £24 Windows, £16 iOS one-time. Free updates for 7+ years. Profitable with team of 12, entirely bootstrapped. Android experiment showed 50/50 split between one-time (£24) and subscription (£4/year), but purchases generated 2–3x more total revenue with significantly better retention.
 - **Sublime Text:** £79 perpetual licence with paid major-version upgrades. Sustained a tiny team for over a decade.
-- **Obsidian:** Free core + £3.20/month Sync, £6.40/month Publish. Clearest precedent for Magnotia's hybrid model.
+- **Obsidian:** Free core + £3.20/month Sync, £6.40/month Publish. Clearest precedent for Lumotia's hybrid model.
 
 ### Risks
 - Revenue plateaus once addressable market is saturated, while support costs continue indefinitely.

docs/brief/market-size-demographics.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §11 Market Size & Demographics -->
+<!-- Source: Lumotia Master Brief — §11 Market Size & Demographics -->
 
 ## 11. Market Size & Demographics
 

docs/brief/micro-saas-playbook.md

@@ -1,8 +1,8 @@
-<!-- Source: Magnotia Master Brief — Part 2: The 9-Pattern Micro-SaaS Playbook -->
+<!-- Source: Lumotia Master Brief — Part 2: The 9-Pattern Micro-SaaS Playbook -->
 
 # PART 2: THE 9-PATTERN MICRO-SAAS PLAYBOOK
 
-**Reference.** Distilled from 30+ Starter Story case studies, founder interviews (Tibo, Mike Hill, Kleo/Lara), and cross-referenced with 4,400+ written case studies. Each pattern is mapped to Magnotia's current position with specific next actions.
+**Reference.** Distilled from 30+ Starter Story case studies, founder interviews (Tibo, Mike Hill, Kleo/Lara), and cross-referenced with 4,400+ written case studies. Each pattern is mapped to Lumotia's current position with specific next actions.
 
 ---
 
@@ -10,8 +10,8 @@
 
 **The principle:** The most consistent origin story across successful micro-SaaS. The founder was the customer first. Prerender.io, Kleo, Analyzify, Refiner — all built by people solving their own problem.
 
-**Magnotia's position: ✅ Strong.**
-Jake has executive dysfunction. He searched for an offline-first, voice-driven productivity tool for neurodivergent users, couldn't find one that wasn't cloud-dependent or iOS-exclusive, and started building Magnotia for himself. This is the textbook origin story.
+**Lumotia's position: ✅ Strong.**
+Jake has executive dysfunction. He searched for an offline-first, voice-driven productivity tool for neurodivergent users, couldn't find one that wasn't cloud-dependent or iOS-exclusive, and started building Lumotia for himself. This is the textbook origin story.
 
 **Next action:** Make this the centrepiece of every piece of marketing. "I'm neurodivergent. I built this because nothing else worked for me." Authenticity is the single most powerful distribution asset in neurodivergent communities.
 
@@ -21,7 +21,7 @@ Jake has executive dysfunction. He searched for an offline-first, voice-driven p
 
 **The principle:** Find products already making money despite having terrible UX or obvious gaps. If people pay for something broken, the market is proven — you just build better. Mike Hill's entire philosophy.
 
-**Magnotia's position: ✅ Strong.**
+**Lumotia's position: ✅ Strong.**
 - **Tiimo:** iPhone App of the Year 2025, $200K/month revenue. iOS-only, no Android, no native desktop, cloud-dependent, no voice transcription, subscription-only (removed lifetime option to community backlash), aggressive review prompts.
 - **WhisperFlow and similar:** Cloud-dependent, premium pricing, no task management integration.
 - **Todoist, Notion, etc.:** Not designed for neurodivergent brains, subscription-heavy, cognitively overwhelming.
@@ -36,7 +36,7 @@ The market is proven. People are paying. The incumbents have obvious, exploitabl
 
 **The principle:** Pick a niche so narrow that big players ignore it, then own it completely. Email signature generators, WhatsApp plugins for Shopify, digital signage for cafes. The narrower the niche, the less competition and the higher the conversion rate.
 
-**Magnotia's position: ✅ Strong.**
+**Lumotia's position: ✅ Strong.**
 "Voice-first, local-only productivity app for neurodivergent people with executive dysfunction" is extremely narrow. No big player is going to build this. Tiimo is the closest and they're a 40-person VC-funded Copenhagen team that still can't get Android working.
 
 **Next action:** Resist the temptation to broaden. "Productivity for everyone" is how you become invisible. Stay locked on neurodivergent users until you hit £2K MRR. The TTRPG and B2B angles can wait.
@@ -47,7 +47,7 @@ The market is proven. People are paying. The incumbents have obvious, exploitabl
 
 **The principle:** "Shipped in 12 hours and now makes $15K/month." Validation speed matters more than product perfection. Pre-sell first, build second (Gil's model). Revenue before polish.
 
-**Magnotia's position: ✅ Strong.**
+**Lumotia's position: ✅ Strong.**
 MVP is nearly ready. Jake can rebuild from scratch in a day. Tauri/Svelte/Rust stack enables rapid iteration. Beta testers this weekend.
 
 **Next action:** Ship the beta this weekend. Don't polish — test. The goal is not "is it beautiful" but "does the brain dump → task list flow actually work?" If the core loop works, everything else is iteration.
@@ -58,11 +58,11 @@ MVP is nearly ready. Jake can rebuild from scratch in a day. Tauri/Svelte/Rust s
 
 **The principle:** The loudest message across all 30 videos. Most builders skip distribution because it means doing "the hard thing" — talking to people. A great product with no distribution dies. A decent product with great distribution wins.
 
-**Magnotia's position: ⚠️ Critical gap.**
-Zero distribution infrastructure. No landing page, no waitlist, no domain, no social presence for Magnotia. Nobody outside Jake's immediate circle has seen it.
+**Lumotia's position: ⚠️ Critical gap.**
+Zero distribution infrastructure. No landing page, no waitlist, no domain, no social presence for Lumotia. Nobody outside Jake's immediate circle has seen it.
 
 **Next actions (in order):**
-1. Register domain this week (magnotia.app or getmagnotia.app).
+1. Register domain this week (lumotia.app or getmagnotia.app).
 2. One-page landing page with waitlist signup live by Monday.
 3. Roo's nonprofit network gets the link first.
 4. Reddit posts in r/ADHD, r/adhdwomen, r/ADHD_Programmers, r/autism — authentic, not salesy.
@@ -76,7 +76,7 @@ This is the make-or-break pattern. Everything else is in place. Distribution is
 
 **The principle:** Kleo's playbook — don't launch publicly. Build a waitlist using content, run mini-launches to waitlist subscribers only, create FOMO through scarcity ("you can't buy this, you need to join the waitlist"), and hit £30K MRR in four days. Lara took info-product launch tactics (webinars, email sequences, urgency) and applied them to SaaS.
 
-**Magnotia's position: ⚠️ Planned but not yet started.**
+**Lumotia's position: ⚠️ Planned but not yet started.**
 Jake intends to do an invite-only beta to create scarcity and mystique. The instinct is right — this maps directly to Kleo's playbook.
 
 **Next actions:**
@@ -91,10 +91,10 @@ Jake intends to do an invite-only beta to create scarcity and mystique. The inst
 
 **The principle:** Mike Hill is emphatic — every one of his founding teams has a designer. Good design sells. Target incumbents with bad UX. When your product looks and feels better, it becomes self-selling.
 
-**Magnotia's position: ✅ Strong.**
-Tauri/Svelte produces a native, fast UI. The design brief includes research-backed neurodivergent-specific design principles: Lexend/Atkinson Hyperlegible typography, sensory colour zoning, no halation, progressive disclosure, literal labels, motion control, forgiving interaction patterns. This level of design intentionality is a genuine moat — Tiimo is good but Magnotia's design spec is more deeply grounded in the research.
+**Lumotia's position: ✅ Strong.**
+Tauri/Svelte produces a native, fast UI. The design brief includes research-backed neurodivergent-specific design principles: Lexend/Atkinson Hyperlegible typography, sensory colour zoning, no halation, progressive disclosure, literal labels, motion control, forgiving interaction patterns. This level of design intentionality is a genuine moat — Tiimo is good but Lumotia's design spec is more deeply grounded in the research.
 
-**Next action:** Make the design visible in marketing. Screenshots, screen recordings, and side-by-side comparisons with competitors. "Here's what Tiimo looks like. Here's what Magnotia looks like. Notice the difference." Let the design sell itself.
+**Next action:** Make the design visible in marketing. Screenshots, screen recordings, and side-by-side comparisons with competitors. "Here's what Tiimo looks like. Here's what Lumotia looks like. Notice the difference." Let the design sell itself.
 
 ---
 
@@ -102,7 +102,7 @@ Tauri/Svelte produces a native, fast UI. The design brief includes research-back
 
 **The principle:** Almost universally, successful micro-SaaS founders are bootstrapped. Mike Hill's model: 4 co-founders, 25% equity each, grow to £10K MRR to cover costs, then split profits as salary. No VC, no bloated teams. His explicit quote: "these businesses are about bigger salaries, not big exits."
 
-**Magnotia's position: ✅ Strong.**
+**Lumotia's position: ✅ Strong.**
 Solo founder. No VC. No team overhead. Near-zero infrastructure costs (local-first means no servers for the base product). Lifetime pricing + optional cloud subscription. Revenue goes directly to Jake.
 
 **Next action:** Set a clear personal revenue target. What number makes this worth maintaining? £500/month covers costs and proves viability. £2K/month funds CORBEL growth. £5K/month is a genuine second income stream. Know your number so you can measure against it.
@@ -113,14 +113,14 @@ Solo founder. No VC. No team overhead. Near-zero infrastructure costs (local-fir
 
 **The principle:** The highest earners aren't running one product — they're running five or six. Tibo has five apps (combined £700K/month). Mike Hill has five (combined £200K/month). Risk distribution: if one stalls, others keep growing. Each new product follows the same repeatable playbook.
 
-**Magnotia's position: ⏳ Not relevant yet.**
-This is product #1. The playbook only applies once Magnotia is generating revenue and the system is proven. Then Jake can ask: "What's the next niche I can apply this exact process to?"
+**Lumotia's position: ⏳ Not relevant yet.**
+This is product #1. The playbook only applies once Lumotia is generating revenue and the system is proven. Then Jake can ask: "What's the next niche I can apply this exact process to?"
 
-**Next action:** None right now. Focus entirely on Magnotia. But document everything — what worked, what didn't, what you'd do differently. When the time comes for product #2, you'll have a personal playbook to run again.
+**Next action:** None right now. Focus entirely on Lumotia. But document everything — what worked, what didn't, what you'd do differently. When the time comes for product #2, you'll have a personal playbook to run again.
 
 ---
 
-### Playbook Summary: Where Magnotia Stands
+### Playbook Summary: Where Lumotia Stands
 
 | Pattern | Status | Priority |
 |---|---|---|

docs/brief/open-questions.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §10 Open Questions -->
+<!-- Source: Lumotia Master Brief — §10 Open Questions -->
 
 ## 10. Open Questions
 

docs/brief/pricing-model.md

@@ -1,11 +1,11 @@
-<!-- Source: Magnotia Master Brief — §5 Pricing Model -->
+<!-- Source: Lumotia Master Brief — §5 Pricing Model -->
 
 ## 5. Pricing Model
 
 ### Free tier
 Basic voice capture + local transcription + simple task list. Limited functionality (e.g. 5 active tasks or 10 stored transcriptions). Top-of-funnel — proves the core value loop.
 
-### Magnotia Pro — lifetime licence
+### Lumotia Pro — lifetime licence
 | Platform | Price |
 |---|---|
 | Desktop (Windows/macOS/Linux) | £49 |
@@ -16,7 +16,7 @@ Full feature set, all running locally. Unlimited transcription, templates, profi
 
 **Positioning:** "They took away lifetime. We never will."
 
-### Magnotia Cloud — optional subscription (£4.99/month or £39.99/year)
+### Lumotia Cloud — optional subscription (£4.99/month or £39.99/year)
 Access to frontier AI model (Claude, GPT-4o, or similar) for:
 - Higher-accuracy transcription of specialist vocabulary
 - Smarter task decomposition
@@ -44,7 +44,7 @@ This is the only recurring revenue stream and is genuinely tied to per-request A
 
 ### Pre-launch pricing validation (Van Westendorp)
 Before committing to £49, send the waitlist a four-question survey via Tally (free):
-1. At what price would Magnotia be so expensive you'd never buy it?
+1. At what price would Lumotia be so expensive you'd never buy it?
 2. At what price would it seem so cheap you'd doubt its quality?
 3. At what price is it getting expensive but you'd still consider it?
 4. At what price is it a bargain?

docs/brief/research-gaps.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §20 Research Gaps Still to Investigate -->
+<!-- Source: Lumotia Master Brief — §20 Research Gaps Still to Investigate -->
 
 ## 20. Research Gaps Still to Investigate
 

docs/brief/success-metrics.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §9 Success Metrics -->
+<!-- Source: Lumotia Master Brief — §9 Success Metrics -->
 
 ## 9. Success Metrics
 
@@ -15,12 +15,12 @@
 
 ### Neuro-inclusive product metrics
 
-Standard SaaS metrics like Daily Active Users (DAU) or unbroken streaks must be avoided — they encourage the exact shame spiral Magnotia is designed to prevent. Track these instead:
+Standard SaaS metrics like Daily Active Users (DAU) or unbroken streaks must be avoided — they encourage the exact shame spiral Lumotia is designed to prevent. Track these instead:
 
 | Metric | What it measures | Why it matters |
 |---|---|---|
-| **Time-to-capture** | Seconds from app open to completed brain dump | Measures friction. If this exceeds 10 seconds, the thought is gone. The lower this number, the better Magnotia serves its core purpose. |
-| **Grace day recovery rate** | % of users who return and complete a task after 1+ days of inactivity | Proves Magnotia has beaten the abandon-shame cycle. This is the single most important product metric. If users come back after missing days without guilt, the design is working. |
+| **Time-to-capture** | Seconds from app open to completed brain dump | Measures friction. If this exceeds 10 seconds, the thought is gone. The lower this number, the better Lumotia serves its core purpose. |
+| **Grace day recovery rate** | % of users who return and complete a task after 1+ days of inactivity | Proves Lumotia has beaten the abandon-shame cycle. This is the single most important product metric. If users come back after missing days without guilt, the design is working. |
 | **Micro-step completion rate** | Completion rate of AI-decomposed tasks vs. manually entered abstract tasks | Validates that micro-stepping actually works. If AI-generated steps have higher completion rates than user-entered tasks, the feature is earning its keep. |
 | **Brain dump → task conversion** | % of voice transcription content that converts into actionable tasks | Measures AI quality. Low conversion means the AI isn't parsing well; high conversion means the core loop works. |
 | **Return after lapse** | Median days between last session and next session for users who go inactive | Measures stickiness without punishing breaks. A user who returns after 2 weeks is a success, not a failure. |

docs/brief/target-audience.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §2 Target Audience -->
+<!-- Source: Lumotia Master Brief — §2 Target Audience -->
 
 ## 2. Target Audience
 

docs/brief/tech-stack.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §3 Tech Stack -->
+<!-- Source: Lumotia Master Brief — §3 Tech Stack -->
 
 ## 3. Tech Stack
 
@@ -25,7 +25,7 @@
 | Optimal | 32GB | Llama 3.3 8B | Q5_K_M | ~5.5GB | 10–20 tok/s |
 | Mobile | 4–6GB | Llama 3.2 1B | Q4_K_M | ~0.8GB | 30–50 tok/s |
 
-- **Benchmarks:** Ryzen 5700G (DDR4) achieves ~11 tok/s on 7B Q4_K_M. Apple M3 base achieves ~26 tok/s. For Magnotia's use case (50–200 token responses for task decomposition), 10–15 tok/s is perfectly usable (1–10 seconds per response).
+- **Benchmarks:** Ryzen 5700G (DDR4) achieves ~11 tok/s on 7B Q4_K_M. Apple M3 base achieves ~26 tok/s. For Lumotia's use case (50–200 token responses for task decomposition), 10–15 tok/s is perfectly usable (1–10 seconds per response).
 - **Minimum published spec:** 8GB RAM, any CPU from 2020+. Below 8GB is not supported.
 
 ### Local RAG pipeline

docs/brief/technology-map.md

@@ -1,9 +1,9 @@
-# Building Magnotia: a complete technology map for local-first, voice-first desktop AI
+# Building Lumotia: a complete technology map for local-first, voice-first desktop AI
 
-**Magnotia's entire stack -- from audio capture through LLM inference to neurodivergent-friendly UI -- can be built from actively maintained, production-tested open-source components.** The Rust + Tauri v2 + Svelte 5 ecosystem has matured dramatically through 2024-2026, with reference applications like Handy (13.8k stars, Tauri + Whisper + real-time audio) and Whispering (Svelte 5 + Tauri transcription) proving the core architecture viable. The most critical finding: **no existing app combines all of Magnotia's pieces**, making this a genuinely novel integration -- but every individual subsystem has battle-tested implementations to learn from.
+**Lumotia's entire stack -- from audio capture through LLM inference to neurodivergent-friendly UI -- can be built from actively maintained, production-tested open-source components.** The Rust + Tauri v2 + Svelte 5 ecosystem has matured dramatically through 2024-2026, with reference applications like Handy (13.8k stars, Tauri + Whisper + real-time audio) and Whispering (Svelte 5 + Tauri transcription) proving the core architecture viable. The most critical finding: **no existing app combines all of Lumotia's pieces**, making this a genuinely novel integration -- but every individual subsystem has battle-tested implementations to learn from.
 
 **Ingested from:** `input/inbox/backlinksforfree` on 2026/03/20
-**Used in:** `docs/superpowers/specs/2026-03-20-magnotia-mvp-design.md`
+**Used in:** `docs/superpowers/specs/2026-03-20-lumotia-mvp-design.md`
 
 ---
 
@@ -43,7 +43,7 @@ Model lifecycle: load at first inference, keep during session, unload on backgro
 
 Hybrid search: FTS5 + sqlite-vec with **Reciprocal Rank Fusion** (documented by Alex Garcia). <3ms total retrieval on Raspberry Pi Zero 2 W.
 
-**No published project combines sqlite-vec + fastembed-rs** -- Magnotia's implementation is novel.
+**No published project combines sqlite-vec + fastembed-rs** -- Lumotia's implementation is novel.
 
 ### 5. Time-block visualisation
 

docs/brief/tiimo-competitive-intel.md

@@ -1,10 +1,10 @@
 # Tiimo Competitive Intelligence Report (2026)
 
-## Executive Summary: Magnotia's Key Advantages
-Based on current intelligence, **Magnotia** has several immediate strategic openings against Tiimo:
-1. **The "Lifetime" Opening:** Tiimo recently removed their highly popular lifetime license, causing massive frustration in the neurodivergent community (who often struggle with recurring subscriptions). Magnotia can win significant goodwill by offering a clear, sustainable lifetime tier or a radically different neuro-friendly pricing model.
-2. **The Android/Platform Gap:** In September 2025, Tiimo completely removed its Android app, leaving a massive portion of the market unserved. They also lack a true native desktop application (relying on a web wrapper). Magnotia's native desktop-first approach fills a vital gap for users who need deep workflow integration rather than just a mobile companion.
-3. **The Complexity Friction:** While Tiimo's AI Co-planner is popular, users report a steep learning curve and heavy setup time. Magnotia's voice-transcription premise—allowing users to simply speak to create structure—offers a dramatically lower barrier to entry for users with executive dysfunction.
+## Executive Summary: Lumotia's Key Advantages
+Based on current intelligence, **Lumotia** has several immediate strategic openings against Tiimo:
+1. **The "Lifetime" Opening:** Tiimo recently removed their highly popular lifetime license, causing massive frustration in the neurodivergent community (who often struggle with recurring subscriptions). Lumotia can win significant goodwill by offering a clear, sustainable lifetime tier or a radically different neuro-friendly pricing model.
+2. **The Android/Platform Gap:** In September 2025, Tiimo completely removed its Android app, leaving a massive portion of the market unserved. They also lack a true native desktop application (relying on a web wrapper). Lumotia's native desktop-first approach fills a vital gap for users who need deep workflow integration rather than just a mobile companion.
+3. **The Complexity Friction:** While Tiimo's AI Co-planner is popular, users report a steep learning curve and heavy setup time. Lumotia's voice-transcription premise—allowing users to simply speak to create structure—offers a dramatically lower barrier to entry for users with executive dysfunction.
 4. **B2B / Teams Vacuum:** Tiimo has virtually no enterprise or team-based pricing, focusing entirely on solo consumers (and a 5-person "family" sharing plan). This leaves the B2B neurodiversity-inclusion workspace wide open.
 
 ---

docs/brief/user-sentiment.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §12 Live User Sentiment -->
+<!-- Source: Lumotia Master Brief — §12 Live User Sentiment -->
 
 ## 12. Live User Sentiment — What Neurodivergent Users Actually Say
 
@@ -17,7 +17,7 @@ The dominant emotional narrative across every neurodivergent community: download
 ### Emotional intensity
 Language consistently involves shame ("another thing I'm failing at"), resignation ("I've lost count"), and liberation when users find the right framing ("I wasn't broken — I was working with tools designed for someone else's operating system"). Anger directed specifically at subscription billing: one Effecto review reads "Pretty ironic that it's an app supposed to be ADHD-friendly yet charges you for a service you don't use." A Wisey Trustpilot review states: "They are unscrupulous and taking advantage of people with ADHD who may be less organised."
 
-### Demand signals for Magnotia's specific features
+### Demand signals for Lumotia's specific features
 - **Voice-first capture** receives consistent praise wherever it appears — one user who deleted 47 apps kept a voice memo tool as one of three survivors.
 - **Offline/local-first** positioning is an emerging differentiator; community responds positively to "your data stays with you."
 - **One-time purchase preference** is acute: a Goblin Tools App Store reviewer wrote "The fact it isn't subscription-based is incredibly helpful — I know it's mine and can use it whenever I need, without having to worry about whether it's 'worth it' each month or if I'm going to forget to cancel."

docs/brief/what-magnotia-is.md

@@ -1,7 +1,7 @@
-<!-- Source: Magnotia Master Brief — §1 What Magnotia Is -->
+<!-- Source: Lumotia Master Brief — §1 What Lumotia Is -->
 
-## 1. What Magnotia Is
+## 1. What Lumotia Is
 
-A voice-first productivity app for people with executive dysfunction, neurodivergence, and task paralysis. Users brain dump via voice, Magnotia transcribes locally using AI, and automatically organises thoughts into actionable task lists.
+A voice-first productivity app for people with executive dysfunction, neurodivergence, and task paralysis. Users brain dump via voice, Lumotia transcribes locally using AI, and automatically organises thoughts into actionable task lists.
 
 **Core thesis:** Capture thoughts the instant they appear, with zero friction, zero latency, and total privacy. Everything runs on-device. No cloud dependency, no subscriptions for core features, no data leaves the user's machine.

docs/brief/why-current-tools-fail.md

@@ -1,4 +1,4 @@
-<!-- Source: Magnotia Master Brief — §14 Why Current Tools Fail -->
+<!-- Source: Lumotia Master Brief — §14 Why Current Tools Fail -->
 
 ## 14. Why Current Tools Fail