Version 4.5 introduces native Rust-backed text processing, memory-safe document streaming, optimized GPU calculations, and Apple Intelligence integrations. 1. Rust-Backed Tokenizer and Citation Precision: - Rust-Backed Tokenizer Engine: Moved text tokenization from Swift string-splitting loops to a pre-compiled native Rust library (swift-tokenizers) wrapped in a local package, accelerating document tokenization and index compilation by up to 100x. - Precision Character Offsets: Utilizes native Rust-calculated byte-level character offsets to provide high-precision source citations back to original text passages. - Isolated Resource Bundling: Moved tokenizer resource directories entirely to local package targets to prevent Xcode synchronized group resource duplicate copy warnings and flattening conflicts. 2. Memory-Safe Ingestion and Processing: - Bounded Stream Processing: Re-engineered document parsing from whole-file loading to a memory-safe streaming pipeline. This prevents RAM spikes and mitigates Out-of-Memory (OOM) risks on large PDF documents, keeping RAM usage below 32MB. - Zero-Copy Vision Extraction: Bypassed traditional PNG encoding overhead during document ingestion by routing GPU-rendered pages directly into the Vision OCR engine, accelerating text extraction by over 30%. - Page Offset Tracking: Corrected page-offset mapping during extraction to align database references with printed page numbers for accurate citation lookup. - Incremental Search Indexing: Upgraded the SQLite FTS5 index to append data on each streaming iteration, resolving index truncation bugs and retaining full-text search records across streaming batches. - Ingestion Queue Protection: Added a 15-minute file modification age check and mutated storage relative path mappings to prevent synchronization daemons from sweeping active files. - Live Ingestion Telemetry: Refined the Dynamic Island and Apple Watch Smart Stack widget layouts to display progress rings and processing percentages during background document imports. 3. GPU-Accelerated Similarity and Core AI: - Metal 4 Similarity Engine: Accelerated vector database matching by running SIMD4 and threadgroup-level calculations directly on the Metal GPU engine, speeding up query matching by up to 4x. - Dynamic Core AI Routing: Defaults sentence embedding tasks to Apple's native Core AI framework on iOS 27+ / macOS 27+ devices, while maintaining backward-compatible CoreML fallbacks for iOS/macOS 26. - Private Cloud Compute Fallbacks: Added intelligent entitlement verification for Private Cloud Compute queries on iOS 27. If secure cloud permissions are pending or unavailable, reasoning-heavy queries gracefully and transparently fall back to local on-device Foundation Models without crashing. - Single-Instance Caching: Caches the model provider instance to prevent double allocation during startup, saving up to 100MB of system RAM. - Model Pre-Warming: Integrated background pre-warm APIs to pre-load Apple Intelligence foundation models in 0.01 seconds, ensuring instant first-query responsiveness. 4. Billing System and Diagnostics: - StoreKit 2 Re-alignment: Re-engineered StoreKit product queries and entitlement loops. Removed deprecated document-pack consumables and stabilized entitlement reconciliation across subscription tiers (Monthly, Annual, and Lifetime Cohort). - Telemetry Diagnostics: Added a dedicated diagnostics panel inside the settings pane to show compile-time and runtime model readiness status. - Configuration Resilience: Refined the AI Subsystem settings panel to allow saving provider configurations even when the target hardware is temporarily warming up or unavailable, ensuring smooth runtime fallback routing.

Version 4.4 introduces persistent Evidence Threads with iCloud synchronization, refined Siri voice shortcuts, and enhanced self-healing background processing. 1. Durable Evidence Threads and iCloud Sync: - Persistent Conversations: Replaced ephemeral chat histories with durable research threads stored locally under the system Application Support directory. Citations, metrics, and generated responses are preserved across app restarts. - iCloud Drive Synchronization: Implemented coordinated bidirectional synchronization of research threads across user devices using iCloud Drive, protected by file-coordination safeguards to prevent write conflicts. - Monetization Tier Quotas: Thread creation is managed using tier-specific quotas (5 for Free, 20 for Pro, and Unlimited for Lifetime subscribers), with clear, localized notifications when quota thresholds are reached. - Isolate Active Threads: Updated the "New Chat" action to allocate a new active thread rather than deleting the previous conversation from disk, isolating active threads per container to prevent workspace bleed. 2. Advanced Siri and Shortcuts Integration: - Split Settings Interface: Rebuilt the settings panel to separate Siri voice integrations from Shortcuts automation libraries. - Siri Voice Shortcuts: Displays the 9 pre-registered voice command shortcuts mapped to active thread and search capabilities. - Shortcuts Actions Library: Displays the 16 custom App Actions available for drag-and-drop workflows in the system Shortcuts App, categorized by task (Document Ingestion, Retrieval, Summarization, History, and Diagnostics). - In-Process Intent Execution: Refactored the Shortcuts App Actions. Intents now resolve directly on the active running user interface instance via a weak static reference holder (activePresentedInstance), causing the presented views to reload and switch instantly. - Library Entity Parameters: Added optional library container parameter support to App Intents, letting automated workflows target specific document silos instead of always falling back to default folders. 3. RAG Engine Refinements and Model Constraints: - Fuzzy Phrase Verification: Refined the anti-hallucination verification gate logic to prevent false-positive refusals by performing fuzzy plural/singular word mappings and ignoring query-specific auxiliary terms. - Ungrounded Fallback Compliance: Updated the Standard and Reliability mode pipelines to respect ungrounded fallback preferences, preventing unnecessary response discarding when ungrounded output is explicitly allowed. - Hardened On-Device Constraints: Hardened model preference routing to strictly route execution on-device and cap RAG context packing budgets (6K tokens) when the local 3B Core or 20B Advanced models are selected, completely bypassing Private Cloud Compute boundaries. - Swift 6 and Diagnostic Polish: Resolved all Swift 6 compiler warnings and concurrency actor isolation errors. Adjusted the Quick Sanity Check to prevent false similarity failures across CoreML and legacy embedding providers. Added a direct external link to the Notion Roadmap database to the About Screen. 4. Compatibility Requirements: - OS Version Compatibility: Runs on macOS 26.x and iOS 26.x. Advanced zero-copy Silicon-native sentence embeddings under Core AI (.aimodel) and native Private Cloud Compute secure enclaves require macOS 27 or iOS 27. - Hardware Compatibility: Offline Neural Engine model features are optimized for Apple Silicon (M-series and A17 Pro+ or later). 5. IAP Changes - Calibrated Pro Annual to $29.99/year (saving 58% vs monthly) and introduced a 7-day free trial.

Changes since WWDC 2026: - Fixed Image Playground - Unleashed RAM ceilings for exponential pipeline scaling on advanced Apple Silicon, and precisely aligned context limits to the official AFM 3 API specs (4K/32K). - Powered by the AFM 3 Architecture: Updated model configuration parsing to dynamically route and visibly highlight across the entire third-generation model suite (AFM 3 Core, AFM 3 Core Advanced, and AFM 3 Cloud Pro). - Screen Awareness: Integrated AppIntents background context frameworks to allow Siri to natively ingest on-screen files and URLs directly into RAG libraries without touching the app. - ADM 3 Cloud Integration: Plumbed Apple's ADM 3 architecture via Image Playground API into the core generation pipeline for instant visual concept rendering. - Lightning-Fast Answer Generation: Rebuilt the RAG deduplication pipeline using O(N) Set-based tracking, resulting in an over 1,000x speedup in evidence aggregation for large libraries. - Buttery-Smooth Database Dashboard: Implemented a dynamic UUID dictionary cache in DatabaseDashboardView, accelerating row rendering performance by ~240x during heavy scrolling. - Removed legacy OnDeviceAnalysisService to simplify LLM routing, fully trusting Apple Intelligence native FoundationModels. - Integrated the 20B Apple Foundation Model (AFM 3 Core Advanced) into the execution pipeline. Prioritized .onDeviceAdvanced routing over Private Cloud Compute to maximize local privacy and eliminate cloud latency for reasoning operations. - Hardened token budget obedience and evaluation suites to maintain extreme robustness against Apple Intelligence constraints. - Streamlined configuration parsing by removing legacy strictMode boolean from KnowledgeContainer, mapping directly to native minSimilarity thresholds. - Pruned visual noise by removing obsolete logic relating to the deprecated "Fibonacci sphere" distribution in AdaptiveVisualizationsView. - Expanded OpenIntelligenceEngineTests suite with hybrid search safety checks and Semantic Chunker hardening against empty strings and malformed data. - Fixed agentic reasoning orchestration so that Standard mode strictly prohibits auto-escalating to Deep Think loops when utilizing the constrained 3B Core model. - Reclassified VerificationGateService Domain Isolation gate to an advisory status to prevent abstention false-positives on cross-domain queries. - Hardened BackgroundTaskService against BGTaskSchedulerErrorDomain error 3 by eliminating string dynamic identifiers and wildcards from system registration logic. - Harmonized all availability macro targeting across the entire codebase to iOS 26.0, macOS 26.0, correctly aligning with Apple's 2025 unified naming architecture. - Fixed string interpolation in AppIntents parameter summaries. - Dropped 3 experimental iOS 27.0 AppShortcuts to strictly enforce Apple's 10-shortcut system limit. --- Version 4.2: - Modernized UI for macOS/iOS: Completely rebuilt the live telemetry HUD utilizing iOS 26/macOS 26/WWDC26+ APIs. Integrated .ultraThinMaterial for premium glassmorphism, hardware .sensoryFeedback for interactive haptics, and smooth .symbolEffect animations. - Dynamic Verification Gates: The visual HUD for RAG telemetry now adapts its pipeline dynamically based on your active RAGQualityMode. - Fixed Chat History Persistence: Resolved an issue that sometimes skipped loading your previous chat history during a cold boot after force-closing the app. --- Version 4.1 & 4.0: - Apple Foundation Models Integration: Migrated language model sessions to native iOS 26+ FoundationModels APIs. Deconstructed the monolithic LLM services into dedicated helper modules. - Dynamic Routing Policy: Standard queries route to local on-device models (4K token context boundary), while complex or long-context queries automatically scale to secure Private Cloud Compute (32K tokens). - Core AI Local Scaffolding: Staged CoreAISentenceEmbeddingProvider as experimental local scaffolding under Apple's Core AI framework.

Changes since WWDC 2026: - Unleashed RAM ceilings for exponential pipeline scaling on advanced Apple Silicon, and precisely aligned context limits to the official AFM 3 API specs (4K/32K). - Powered by the AFM 3 Architecture: Updated model configuration parsing to dynamically route and visibly highlight across the entire third-generation model suite (AFM 3 Core, AFM 3 Core Advanced, and AFM 3 Cloud Pro). - Screen Awareness: Integrated AppIntents background context frameworks to allow Siri to natively ingest on-screen files and URLs directly into RAG libraries without touching the app. - ADM 3 Cloud Integration: Plumbed Apple's ADM 3 architecture via Image Playground API into the core generation pipeline for instant visual concept rendering. - Lightning-Fast Answer Generation: Rebuilt the RAG deduplication pipeline using O(N) Set-based tracking, resulting in an over 1,000x speedup in evidence aggregation for large libraries. - Buttery-Smooth Database Dashboard: Implemented a dynamic UUID dictionary cache in DatabaseDashboardView, accelerating row rendering performance by ~240x during heavy scrolling. - Removed legacy OnDeviceAnalysisService to simplify LLM routing, fully trusting Apple Intelligence native FoundationModels. - Integrated the 20B Apple Foundation Model (AFM 3 Core Advanced) into the execution pipeline. Prioritized .onDeviceAdvanced routing over Private Cloud Compute to maximize local privacy and eliminate cloud latency for reasoning operations. - Hardened token budget obedience and evaluation suites to maintain extreme robustness against Apple Intelligence constraints. - Streamlined configuration parsing by removing legacy strictMode boolean from KnowledgeContainer, mapping directly to native minSimilarity thresholds. - Pruned visual noise by removing obsolete logic relating to the deprecated "Fibonacci sphere" distribution in AdaptiveVisualizationsView. - Expanded OpenIntelligenceEngineTests suite with hybrid search safety checks and Semantic Chunker hardening against empty strings and malformed data. - Fixed agentic reasoning orchestration so that Standard mode strictly prohibits auto-escalating to Deep Think loops when utilizing the constrained 3B Core model. - Reclassified VerificationGateService Domain Isolation gate to an advisory status to prevent abstention false-positives on cross-domain queries. - Hardened BackgroundTaskService against BGTaskSchedulerErrorDomain error 3 by eliminating string dynamic identifiers and wildcards from system registration logic. - Harmonized all availability macro targeting across the entire codebase to iOS 26.0, macOS 26.0, correctly aligning with Apple's 2025 unified naming architecture. - Fixed string interpolation in AppIntents parameter summaries. - Dropped 3 experimental iOS 27.0 AppShortcuts to strictly enforce Apple's 10-shortcut system limit. ----------- Version 4.2: - Modernized UI for macOS/iOS: Completely rebuilt the live telemetry HUD utilizing iOS 26/macOS 26/WWDC26+ APIs. Integrated .ultraThinMaterial for premium glassmorphism, hardware .sensoryFeedback for interactive haptics, and smooth .symbolEffect animations. - Dynamic Verification Gates: The visual HUD for RAG telemetry now adapts its pipeline dynamically based on your active RAGQualityMode. - Fixed Chat History Persistence: Resolved an issue that sometimes skipped loading your previous chat history during a cold boot after force-closing the app. ----------- Version 4.1 & 4.0: - Apple Foundation Models Integration: Migrated language model sessions to native iOS 26+ FoundationModels APIs. Deconstructed the monolithic LLM services into dedicated helper modules. - Dynamic Routing Policy: Standard queries route to local on-device models (4K token context boundary), while complex or long-context queries automatically scale to secure Private Cloud Compute (32K tokens). - Core AI Local Scaffolding: Staged CoreAISentenceEmbeddingProvider as experimental local scaffolding under Apple's Core AI framework.

Version 4.2: - Modernized UI for macOS/iOS: Completely rebuilt the live telemetry HUD with ultra-thin materials, interactive haptics, and smooth symbol animations. - Dynamic Verification Gates: The visual HUD for RAG telemetry now adapts its pipeline dynamically based on your active Quality Mode. - Fixed Chat History Persistence: Resolved an issue that sometimes skipped loading your previous chat history during a cold boot. - Granular Hardware Telemetry: The Execution Badge now dynamically fetches and displays exact onboard RAM allocations alongside TOPS processing power. - Accuracy in Retrieval Metrics: Corrected UI labels to differentiate between semantic Database Matching (Vector Similarity) and active LLM reasoning thresholds (Total Confidence). - Agentic Tool Visibility: The telemetry HUD now surfaces implicit, hidden engine calls (such as Vector Search Engine lookups) during standard modes that do not trigger recursive tool event streams. - Clean Sub-second Telemetry: Fixed a visual bug presenting Time-To-First-Token in raw oversized milliseconds (e.g., 12000ms), standardizing values to under 1.2s formatted duration. - Native Resizable Telemetry Drawer: Completely rebuilt the expanded metrics panel to behave like a fluid, native iOS bottom sheet. Users can now physically pull the handle down to manually resize the metrics view seamlessly during live telemetry inspection or recording. ----------- Version 4.1: - Core AI Sentence Embedding Provider: Added CoreAISentenceEmbeddingProvider for high-speed, local silicon-accelerated vector calculations on Apple device hardware. - Real-Time Thinking Telemetry: Added ThinkingStreamView inside the UnifiedMetricsBar to show live reasoning and model processing states. - Enhanced Suggested Questions: Upgraded SuggestedQuestions with a two-pass section-diversity selector and strict POS-tagging grammar filters to generate high-quality follow-ups. - Metal GPU-accelerated retrieval: Integrated a custom Metal compute shader pipeline with SIMD4 and threadgroup-level execution, driving a 4x speedup in batch cosine similarity RAG retrieval. - Atomic Database & Purging: Hardened RAG pipeline with atomic vector database writes and cascading file/index deletion of discarded uploads to prevent data corruption. - Thread-Safe Safety Routing: Thread-safe MainActor routing for LLM availability checks. ----------- Version 4.0: - Dynamic Model Routing (On-Device & PCC): Automatically routes queries based on complexity and context size. Standard queries execute locally using the 4K-token on-device model, while complex logic scales to Private Cloud Compute (PCC) enclaves supporting a 32K-token context window. - Under the Hood Telemetry Dashboard: Added an interactive details popover detailing active model routing, token budgets, execution path telemetry, and pulsing status indicators. - Core AI Engine Integration: Integrates a direct, custom local Core AI silicon execution engine and model registry. - Native Liquid Glass UI: Re-engineered key view components with premium native glasscard modifiers for an immersive visual experience. - RAG Evaluations Suite: Built-in dataset validation against target Recall@5 and Citation Precision quality gates, exposing an Apple Evaluations Bridge for native CLI testing compatibility. - Agentic Retry Safeguard: Hardened agentic RAG reasoning cycles to preserve non-empty drafts and protect against rate-limit empty responses. - Brand Realignment: Realigned all branding assets, HUD panels, and logs to standardized "Apple Intelligence" styling.

Changes since 3.7.5: Version 4.1: - Core AI Sentence Embedding Provider: Added CoreAISentenceEmbeddingProvider for high-speed, local silicon-accelerated vector calculations on Apple device hardware. - Real-Time Thinking Telemetry: Added ThinkingStreamView inside the UnifiedMetricsBar to show live reasoning and model processing states. - Enhanced Suggested Questions: Upgraded SuggestedQuestions with a two-pass section-diversity selector and strict POS-tagging grammar filters to generate high-quality follow-ups. - Metal GPU-accelerated retrieval: Integrated a custom Metal compute shader pipeline with SIMD4 and threadgroup-level execution, driving a 4x speedup in batch cosine similarity RAG retrieval. - Atomic Database & Purging: Hardened RAG pipeline with atomic vector database writes and cascading file/index deletion of discarded uploads to prevent data corruption. - Thread-Safe Safety Routing: Thread-safe MainActor routing for LLM availability checks. Version 4.0: - Dynamic Model Routing (On-Device & PCC): Automatically routes queries based on complexity and context size. Standard queries execute locally using the 4K-token on-device model, while complex logic scales to Private Cloud Compute (PCC) enclaves supporting a 32K-token context window. - Under the Hood Telemetry Dashboard: Added an interactive details popover detailing active model routing, token budgets, execution path telemetry, and pulsing status indicators. - Core AI Engine Integration: Integrates a direct, custom local Core AI silicon execution engine and model registry. - Native Liquid Glass UI: Re-engineered key view components with premium native glasscard modifiers for an immersive visual experience. - RAG Evaluations Suite: Built-in dataset validation against target Recall@5 and Citation Precision quality gates, exposing an Apple Evaluations Bridge for native CLI testing compatibility. - Agentic Retry Safeguard: Hardened agentic RAG reasoning cycles to preserve non-empty drafts and protect against rate-limit empty responses. - Brand Realignment: Realigned all branding assets, HUD panels, and logs to standardized "Apple Intelligence" styling.

Changes since 3.7.5: Version 4.1: - Core AI Sentence Embedding Provider: Added CoreAISentenceEmbeddingProvider for high-speed, local silicon-accelerated vector calculations on Apple device hardware. - Real-Time Thinking Telemetry: Added ThinkingStreamView inside the UnifiedMetricsBar to show live reasoning and model processing states. - Enhanced Suggested Questions: Upgraded SuggestedQuestions with a two-pass section-diversity selector and strict POS-tagging grammar filters to generate high-quality follow-ups. - Folder Picker Persistence: Implemented security-scoped file bookmark directory mapping, resolving iCloud Drive and File Provider path sandboxing constraints. - Atomic Database & Purging: Hardened RAG pipeline with atomic vector database writes and cascading file/index deletion of discarded uploads to prevent data corruption. - Thread-Safe Safety Routing: Thread-safe MainActor routing for LLM availability checks. Version 4.0: - Dynamic Model Routing (On-Device & PCC): Automatically routes queries based on complexity and context size. Standard queries execute locally using the 4K-token on-device model, while complex logic scales to Private Cloud Compute (PCC) enclaves supporting a 32K-token context window. - Under the Hood Telemetry Dashboard: Added an interactive details popover detailing active model routing, token budgets, execution path telemetry, and pulsing status indicators. - Core AI Engine Integration: Integrates a direct, custom local Core AI silicon execution engine and model registry. - Native Liquid Glass UI: Re-engineered key view components with premium native glasscard modifiers for an immersive visual experience. - RAG Evaluations Suite: Built-in dataset validation against target Recall@5 and Citation Precision quality gates, exposing an Apple Evaluations Bridge for native CLI testing compatibility. - Agentic Retry Safeguard: Hardened agentic RAG reasoning cycles to preserve non-empty drafts and protect against rate-limit empty responses. - Brand Realignment: Realigned all branding assets, HUD panels, and logs to standardized "Apple Intelligence" styling.

Changes since 3.7.5: - Dynamic Model Routing (On-Device & PCC): Automatically routes queries based on complexity and context size. Standard queries execute locally using the 4K-token on-device model, while complex queries (so long as it's selected in the Settings tab) scales to the now accessible Private Cloud Compute (PCC) enclaves supporting a 32K-token context window. - Under the Hood Telemetry Dashboard: Added an interactive details popover detailing active model routing, token budgets, execution path telemetry, and pulsing status indicators. - Core AI Engine Integration: Integrates a direct, custom local Core AI silicon execution engine and model registry. - Native Liquid Glass UI: Re-engineered key view components with premium native glasscard modifiers for an immersive visual experience. - RAG Evaluations Suite: Built-in dataset validation against target Recall@5 and Citation Precision quality gates, exposing an Apple Evaluations Bridge for native CLI testing compatibility. - Agentic Retry Safeguard: Hardened agentic RAG reasoning cycles to preserve non-empty drafts and protect against rate-limit empty responses. - Brand Realignment: Realigned all branding assets, HUD panels, and logs to standardized "Apple Intelligence" styling. If you have any questions, suggestions, or want to know more - please send me an email using the Feedback feature! Also, please leave a review!!

Changes since 3.6: Version 3.7.5: - Hardened iCloud synchronization concurrency by offloading all synchronous database merging, file copying, and conflict resolutions off the Main Actor (UI Thread) to completely eliminate UI freezes and watchdog crashes. - Accelerated multi-device data transfers using parallel Swift TaskGroups to download iCloud ubiquitous files concurrently rather than sequentially. - Hardened download error recovery, ensuring isolated iCloud file download failures or timeouts do not stall or fail the entire library synchronization. Version 3.7/3.7.1: - Resolved a gesture conflict on iOS where long-pressing library pills in the horizontal scroll view failed to trigger the context menu, fully restoring library deletion on iPhones. - Preserved full library identity in the Documents pill strip more reliably by preventing the document-count badge from collapsing names into ambiguous truncation. - Fixed a synchronization issue in iCloud Sync where deleted libraries could be merged back and resurrected on other devices, and implemented deletion tombstones to automatically propagate deletions across all synced devices. - Added automated local cleanup of vector databases, Spotlight search indexes, and UI presentation caches when a synced library is deleted on another device. - Documents was tightened again with cleaner library pills, a less crowded header, smaller sync controls, and clearer organization/management surfaces. - Shared-workspace and background-ingestion plumbing are more robust, with safer queue cleanup, cleaner reconciliation, and better handling for long-running work. - Camera capture, OCR-heavy pages, and mixed digital/scanned documents import more reliably. - Clean digital text is preserved more faithfully, while noisy scans and image-heavy pages still get the heavier recovery path when they need it. - Retrieval is stronger across Standard, Deep Think, and Maximum, with better context packing, better use of surrounding document context, and less drift away from the source. - Suggested questions and follow-ups are more grounded in the active library and less repetitive across refreshes. - Chat handles direct attachments and captured content more smoothly, so it is easier to bring new material into the conversation flow. - Answer inspection is much richer now, with clearer source review, timing, retrieval-quality, and evidence-detail surfaces when you want to see how a response was built. - Technical answers and structured output render more cleanly, including stronger code block handling and clearer response detail views. - Diagnostics and device-aware performance behavior are more stable on larger libraries and longer-running work, with deeper inspection tools behind the scenes for validation and monitoring. - Added native App Store rating and review prompting triggers after successful query tasks. - Resolved Mac Catalyst layout truncations, including the Sync Mode picker, action chips, and scrollable library selector pills. - Enabled full iCloud ubiquity container access and network permissions for Mac Catalyst by packaging universal sandbox entitlements. - Resolved Xcode build catalog warnings with a unified universal AppIcon configuration across iOS and macOS targets. - Redesigned the Silicon hardware telemetry HUD to dynamically rotate motherboard borders (SoC and Taptic outlines) to match device layout rotation, added iPad layout coordinates, and cleanly hid visual outlines on Mac targets. - Hardened suggested questions and 3D visualization keywords to aggressively filter out OCR junk, syntax noise, and generic templates. This release is about making OpenIntelligence feel more complete from import to answer review: fewer weak spots between "I added a file" and "I trust this answer."

Changes since 3.6: Version 3.7/3.7.1 is a broader release that tightens almost every stage of the app: library management, import, retrieval, answer quality, chat ergonomics, and diagnostics. - Resolved a gesture conflict on iOS where long-pressing library pills in the horizontal scroll view failed to trigger the context menu, fully restoring library deletion on iPhones. - Preserved full library identity in the Documents pill strip more reliably by preventing the document-count badge from collapsing names into ambiguous truncation. - Fixed a synchronization issue in iCloud Sync where deleted libraries could be merged back and resurrected on other devices, and implemented deletion tombstones to automatically propagate deletions across all synced devices. - Added automated local cleanup of vector databases, Spotlight search indexes, and UI presentation caches when a synced library is deleted on another device. - Documents was tightened again with cleaner library pills, a less crowded header, smaller sync controls, and clearer organization/management surfaces. - Shared-workspace and background-ingestion plumbing are more robust, with safer queue cleanup, cleaner reconciliation, and better handling for long-running work. - Camera capture, OCR-heavy pages, and mixed digital/scanned documents import more reliably. - Clean digital text is preserved more faithfully, while noisy scans and image-heavy pages still get the heavier recovery path when they need it. - Retrieval is stronger across Standard, Deep Think, and Maximum, with better context packing, better use of surrounding document context, and less drift away from the source. - Suggested questions and follow-ups are more grounded in the active library and less repetitive across refreshes. - Chat handles direct attachments and captured content more smoothly, so it is easier to bring new material into the conversation flow. - Answer inspection is much richer now, with clearer source review, timing, retrieval-quality, and evidence-detail surfaces when you want to see how a response was built. - Technical answers and structured output render more cleanly, including stronger code block handling and clearer response detail views. - Diagnostics and device-aware performance behavior are more stable on larger libraries and longer-running work, with deeper inspection tools behind the scenes for validation and monitoring. - Added native App Store rating and review prompting triggers after successful query tasks. - Resolved Mac Catalyst layout truncations, including the Sync Mode picker, action chips, and scrollable library selector pills. - Enabled full iCloud ubiquity container access and network permissions for Mac Catalyst by packaging universal sandbox entitlements. - Resolved Xcode build catalog warnings with a unified universal AppIcon configuration across iOS and macOS targets. - Redesigned the Silicon hardware telemetry HUD to dynamically rotate motherboard borders (SoC and Taptic outlines) to match device layout rotation, added iPad layout coordinates, and cleanly hid visual outlines on Mac targets. - Hardened suggested questions and 3D visualization keywords to aggressively filter out OCR junk, syntax noise, and generic templates. This release is about making OpenIntelligence feel more complete from import to answer review: fewer weak spots between "I added a file" and "I trust this answer."

Changes since 3.6: Version 3.7 is a broader follow-up release that tightens almost every stage of the app: library management, import, retrieval, answer quality, chat ergonomics, and diagnostics. If 3.6 made it easier to move your libraries across devices, 3.7 is the update aimed at making everything that happens after that feel sharper: importing harder files, attaching new material in chat, getting better-grounded answers, and having much clearer proof when the app answers confidently. - Documents was tightened again with cleaner library pills, a less crowded header, smaller sync controls, and clearer organization/management surfaces. - Shared-workspace and background-ingestion plumbing are more robust, with safer queue cleanup, cleaner reconciliation, and better handling for long-running work. - Camera capture, OCR-heavy pages, and mixed digital/scanned documents import more reliably. - Clean digital text is preserved more faithfully, while noisy scans and image-heavy pages still get the heavier recovery path when they need it. - Retrieval is stronger across Standard, Deep Think, and Maximum, with better context packing, better use of surrounding document context, and less drift away from the source. - Suggested questions and follow-ups are more grounded in the active library and less repetitive across refreshes. - Chat handles direct attachments and captured content more smoothly, so it is easier to bring new material into the conversation flow. - Answer inspection is much richer now, with clearer source review, timing, retrieval-quality, and evidence-detail surfaces when you want to see how a response was built. - Technical answers and structured output render more cleanly, including stronger code block handling and clearer response detail views. - Diagnostics and device-aware performance behavior are more stable on larger libraries and longer-running work, with deeper inspection tools behind the scenes for validation and monitoring. - Added native App Store rating and review prompting triggers after successful query tasks. - Resolved Mac Catalyst layout truncations, including the Sync Mode picker, action chips, and scrollable library selector pills. - Enabled full iCloud ubiquity container access and network permissions for Mac Catalyst by packaging universal sandbox entitlements. - Resolved Xcode build catalog warnings with a unified universal AppIcon configuration across iOS and macOS targets. - Redesigned the Silicon hardware telemetry HUD to dynamically rotate motherboard borders (SoC and Taptic outlines) to match device layout rotation, added iPad layout coordinates, and cleanly hid visual outlines on Mac targets. - Hardened suggested questions and 3D visualization keywords to aggressively filter out OCR junk, syntax noise, and generic templates. This release is about making OpenIntelligence feel more complete from import to answer review: fewer weak spots between "I added a file" and "I trust this answer."

Changes since 3.5: Version 3.6 adds optional iCloud reuse for the libraries you choose, without giving up the app's local-first default. If you've been loading a large library on iPad and wishing that exact processed library could show up on iPhone or your other devices without starting over, this is the update aimed at that problem. Shoutout to Tim for asking for this. - Every library can now be set to Local Only or iCloud Drive individually. - Local Only libraries stay fully on-device unless you explicitly change them. - Libraries you mark iCloud Drive can reuse imported files and processed state across your own Apple devices on the same iCloud account. - Shared-library refresh and review is clearer now, so additions or removals from another device are easier to understand before you pull them in or remove them here too. - Same-name shared libraries are much less likely to merge together unexpectedly. - iCloud library sync is now positioned as a paid workspace feature, and paid plan capacity is clearer: Pro supports up to 10 libraries and Lifetime supports up to 20. - If a long-running import is interrupted on one device, another device can pick up queued work for that iCloud library instead of forcing a full restart. - Plain text and other digital documents are preserved more faithfully during import, with safer handling for text, markdown, code, CSV, transcripts, and Office-style files. - This follow-up 3.6 build also smooths the Documents layout, improves import cancellation, and prevents old queued work from deleted libraries from coming back unexpectedly. This release is about making cross-device reuse practical without compromising the app's privacy-first, local-by-default model.

Changes since 3.2.5: Sorry for the rough edges in the last few updates. Version 3.5 is the cleanup release that should have landed sooner. If dense PDFs, exact-value lookups, starter prompts, or long-running imports felt less reliable than they should have, this is the corrective pass. It rolls up the real fixes shipped after 3.2.5 and makes the app more dependable on hard documents. - Exact answers are stronger across Standard, Deep Think, and Maximum for source-backed questions over tables, specs, measurements, counts, dates, prices, and similar exact values. - Starter questions and follow-ups are more grounded and less likely to surface weak, generic, or misleading prompts. - Onboarding, empty states, and the bundled sample workspace explain the app more clearly, including best-supported file types, the 4,096-token model limit, and when processing stays on-device versus uses Apple Private Cloud Compute. - PDFs and images now share one adaptive visual-ingestion path, searchable figures and structured tables survive more often, and clean scientific PDFs are less likely to produce fake tables, broken headings, or reference-section noise. - Table-heavy pages are less likely to collapse back into scrambled paragraph text during ingestion, improving retrieval quality after re-import. - Large user-initiated imports are more reliable, with better queue recovery, background cleanup, and long-running import handling. - Library and settings surfaces now describe per-library isolation and live runtime behavior more accurately. This release is about making OpenIntelligence more grounded, more predictable, and more trustworthy on real documents.

Version 3.2.5 What's changed since 3.2: - Exact fact lookups are much more direct. If the answer is clearly present in a table, spec row, or short source passage, OpenIntelligence now locks onto that source value faster instead of overthinking it. - Deep Think and Maximum now run a precision lookup before longer reasoning, so simple questions can still get quick cited answers even in the higher-effort modes. - Standard, Deep Think, and Maximum share stronger table/spec retrieval rescue for measurements, capacities, limits, prices, counts, and other exact values. - Suggested starter questions are now generated from actual passages instead of loose document labels, so "Ask something real" should be much more relevant to the library you uploaded. - The answer text for exact measurements is cleaner, including nearby equivalent units when the source provides them. - This is a fast corrective update for answer-quality regressions in the 3.2 line. Sorry for the quick follow-up, and thank you for bearing with the pace while I tighten the engine.

Version 3.2 What's changed since 3.1: - Deep Think and Maximum are more stable during repeated use, including back-to-back deep reasoning in the same thread and “Go Deeper” after a Standard answer. - A live reasoning strip now appears in the unified bar above chat so users can watch the current retrieval or reasoning step in real time if they want the extra transparency. - Long Deep Think answers are less likely to cut off mid-bullet or mid-thought, with better continuation handling when a response stops at a real boundary problem instead of a natural finish. - Standard got a higher-quality pass for non-trivial prompts, with adaptive multi-session reasoning for harder questions while still staying quick on obvious simple lookups. - This is another fast follow-up because 3.1 improved a lot of the pipeline but still left some answer-quality regressions in the live app. This build is the corrective pass focused on stability, completeness, and trust.

Version 3.1 Reliability upgrade focused on hard technical documents, noisy OCR, multi-column layouts, and grounded answer quality. - Deep Think and Maximum now preserve strong grounded partial answers when a late-stage generation interruption happens, instead of dropping generic stop text onto useful output. - Multi-column PDFs and corrupted tables now ingest more cleanly with layout-aware OCR fallback and better row and column preservation. - Table retrieval is stronger for specs, measurements, and statistical values through better schema, row, and cell anchoring. - Weak first-pass retrieval now triggers a corrective evidence pass before answer generation when the initial evidence pack is too thin or too generic. - Unsupported or weakly supported claims are handled more conservatively before final answers are shown. - Dense scientific PDFs and technical manuals hold up better during source review, with clearer structured excerpts and better abstention when support is weak.

Version 3.0 Major reliability upgrade focused on hard technical documents, noisy OCR, and broken table extraction. Since 2.6: - Deep Think and Maximum now preserve strong grounded partial answers when a late-stage generation hiccup interrupts the final polish pass, instead of dropping a generic failure footer onto an otherwise useful response. - Repaired row alignment for corrupted and multi-column tables so extracted evidence is less likely to collapse into jumbled garbage. - Added a corrective retrieval pass that automatically re-scans chunk and page indexes before generation when first-pass evidence is weak. - Improved extractive handling for statistical tables, specification sheets, and dense factual lookups with stronger table-priority evidence selection. - Tightened grounded abstention behavior when retrieval is off-topic or structurally weak, reducing confident answers built on bad evidence. - Improved source review for dense scientific PDFs with better evidence packing and more reliable structured excerpts. - Added audit visibility for corrective retrieval so retrieval failures are easier to diagnose and verify.

Messed up version control - current is now 2.6! All Changes Since v2.1: - Updated App Description to better reflect what the app actually does. - Starter questions now come from representative samples of your active library, so the opening prompts better match the documents and sections you're actually working with. - Refreshing starter questions does a better job surfacing different grounded prompts instead of repeating the same generic ideas. - Follow-up suggestions are more reliable after each answer and when switching libraries, including deeper follow-up, clarification, and comparison flows. - Answers now go through stronger grounded-QA routing before they are shown, using a stricter path for fact-heavy questions and a more constrained synthesis path when needed. - Evidence verification is tighter before final answer presentation, so the app is less willing to bluff when support is weak. - Weakly supported answers are handled more clearly, with better answer review and source inspection when you need to check what was actually grounded. - Response details are easier to inspect, with better source cards, clearer filenames, and scrollable excerpts for dense passages. - Tables, lists, quotes, headings, separators, and other structured technical output render much better. - Malformed links in generated answers are repaired more aggressively. - PDF imports do a better job filtering garbage text and noisy extraction on messier files. - Importing of Audio, Video (transcription), Code, and Office has been unified across chat interface + libraries. - Settings, billing, and plan messaging were cleaned up to better match the actual entitlement model.

Version 2.1.1 NEURAL ANSWERS - Better source-backed answers with clearer source review - Better handling when the app does not have enough evidence to answer BETTER REVIEW - Clearer answer review and source inspection in chat - Improved behavior with larger or messier files PRODUCT COPY - Cleaner onboarding, settings, and App Store wording

Version 2.1.1 SETTINGS & ABOUT - Added a public product hub with direct links to the roadmap, feedback board, changelog, GitHub repo, and App Store listing - Cleaned up About and Settings messaging so in-app copy matches the current product more closely LIFETIME COHORT - Lifetime plan messaging now focuses on concrete limits and one-time purchase terms - Added a Lifetime banner in Settings with quick links to the product hub and changelog CHAT POLISH - Refreshed the quality mode picker so Standard, Deep Think, and Maximum feel more visually distinct - Added clearer mode labels like Fastest, Iterative, and Full sweep BILLING & APP STORE - Updated App Store metadata and in-app billing copy to better describe what OpenIntelligence actually does - Added export compliance declaration for smoother App Store uploads What’s next? - Looking into OpenClaw/Claude integration as well as many many many many others. Question for users: What would you like to see?

Version 2.1 WHAT YOU'LL NOTICE Smarter Answers - The AI now tells you when your documents don't cover a question instead of making something up - Topical mismatch detection: when your question barely overlaps with retrieved content, Evidence-First mode activates — the AI states what evidence exists instead of hallucinating - 3 new verification gates (7 total, A-G): Semantic Grounding checks the answer matches sources, Quote Faithfulness checks quoted text actually appears, Generation Quality catches repetitive output - Critical gates can trigger full abstention — the app refuses to answer rather than answer wrong Deep Think & Maximum Mode - Fixed app freeze when sending a second question while one is processing (two reasoning chains were fighting over Apple FM) - Cancel-and-replace: old query cancels cleanly, new one takes over - Cancellation checks at all 17 LLM call sites — no wasted processing Suggested Questions - Fixed prompt contamination — hardcoded Kia Sportage examples were biasing every library toward car questions - Questions now reference specific details from your actual documents - Switching libraries instantly clears stale suggestions — no more flash of wrong questions - Natural conversational tone instead of robotic templates Cross-Library Isolation - Answers no longer leak between libraries when switching mid-conversation (session ID + 8 guard checks) - Entity index, full-text search, and suggestions fully scoped per library - Deleting a library properly cleans all cross-references Onboarding Rebuilt - 2-page flow: welcome cards → live pipeline theater showing your docs being processed in real time - Metrics dashboard: words, chunks, vectors, processing time - 3 built-in sample docs (Pricing, RAG Architecture, Apple Intelligence) — bypass free tier limit - Haptic feedback on all 6 interactions, VoiceOver labels throughout, reduce motion support - Retry button when sample import fails AI Hub Results - Key Facts, Step-by-Step, Plain English, What's Missing, Illustrate now render with full markdown (bold, bullets, headers) - New Share button alongside Copy and Insert - Sheet starts half-height, draggable to full Other Fixes - Alert dialogs can be dismissed again (was stuck due to .constant() binding) - "Show All Insights" now shows a proper list (was an empty TODO) - Image Playground no longer biased toward car themes (removed Ford Mustang few-shot example) - Settings: dynamic confidence threshold, duplicate Vietnamese removed, gates label corrected to A-G - About screen shows actual version instead of hardcoded 1.0.0 UNDER THE HOOD Safety - 37 force-unwrap crash sites eliminated across 26 files (guard let, if let, default values) - 10 fatalError() calls → graceful URL.temporaryDirectory fallbacks - StoreKit stream continuation crash fixed (IUO → AsyncStream.makeStream) - 3 silent Vision catch blocks now log properly Dead Code - 1,278 lines removed: SettingsRootView (701), DeveloperSettingsView (350), OpenAIResponsesAPIService (178), VecturaVectorDatabase (53), TipKit overlays - 15 test files deleted (2,686 lines) — were never wired into a test target Search Internals - BM25Scorer: class → struct with Storage reference type, fresh NLTokenizer per call (thread safety), lemmatization removed, division-by-zero guard - Font cipher detection prevents 93% content loss on encoded PDFs (Jaccard similarity) - Raw regex fix (5 patterns), garbled image extraction fix, dynamic image text budget Concurrency - Swift 6 strict concurrency: 11 files with nonisolated(unsafe) annotations, zero runtime change - GPU mode relabeling: Performance→Maximum, Balanced→Performance, new Balanced tier Developer - 25+ views gained #Preview macros for Xcode canvas - Pipeline X-Ray Studio: new 5,540-line web app for visualizing pipeline traces (dev tool, not in app) Includes all v2.0 features: 29-step RAG pipeline, AI Hub, 3-tier Metal GPU, device-specific OCR, markdown rendering, 102 services.

Version 2.0 AI-POWERED DOCUMENT TRANSFORMS New AI Hub toolbar with 5 document-aware transforms -- each uses your actual retrieved source chunks, not just the AI response text. - Key Facts: Source-backed bullet points with document/page attribution - Step-by-Step: Real procedures with specs and part numbers from your docs - Plain English: Simplifies complex technical content into accessible language - What's Missing?: Identifies gaps between your question and the retrieved answer - Illustrate: Image Playground visualization powered by LLM concept extraction SEARCH & RETRIEVAL UPGRADES - BM25 length normalization aligned for better recall on uniform-size chunks - 5 regex patterns pre-compiled as static constants - NLTagger lemmatization in keyword search - Anti-hallucination Gate E uses hardware-optimized cosine similarity - Verification Gate thresholds tuned to reduce false abstentions IMAGE PLAYGROUND On-device LLM translates domain jargon into visual scenes. No more try another description on technical content. FORMATTED RESPONSES Full markdown rendering: headers, bullets, bold, code blocks, block quotes. 6 regex patterns normalize Apple FM single-line output. PERFORMANCE (per Apple Silicon chip) - 2-4x parallel cross-encoder reranking via TaskGroup - 3x faster MLMultiArray fills with dataPointer bulk copy - Device-specific OCR concurrency (A19 Pro 8 ops, A18 Pro 6, A17 Pro 4) - 50-80% OCR skip rate on clean digital PDFs - 3-tier Metal GPU: threadgroup/SIMD4/scalar auto-selected per query size - 5 OCR candidates evaluated per recognition (was 3) RELIABILITY - Compression capped at 5 chunks with fresh LLM session per chunk - 12-second compression time budget - Rate-limit retry with 2s backoff - Extractive fallback upgraded: 6 chunks x 500 chars with section titles ZERO-DATA-LOSS INGESTION - Font cipher detection prevents 93% content loss on font-encoded PDFs - 5 Unicode regex patterns fixed - Image batch reduced from 20 to 5 pages for lower memory usage STABILITY - MMR crash fixed (GPU matrix edge case) - StoreKit 5s timeout (was 30-60s hang offline) - BGTask registration fixed - Swift 6 concurrency: 11 files updated, zero runtime change - 102 services, 175+ tests across 15 files

Version 1.2.0 RICH MARKDOWN RESPONSE RENDERING Responses now display with full formatting — headers, bullets, numbered lists, bold, code blocks, and block quotes. • Block-Level Markdown Parser — h1-h6, bullet lists, numbered lists, code fences, block quotes, horizontal rules, paragraphs. • Inline Normalization — Apple FM concatenates markdown on one line. 6 regex patterns split headers, bullets, numbered items onto separate lines before parsing. • Response-Cleaning Functions Audited — Two functions were stripping ALL markdown. Both rewritten to preserve formatting while removing artifacts. • Formatting-Aware LLM Prompts — All system prompts now instruct the model to use headers, bullets, and bold. • Paragraph Structure Preservation — Sentence joining uses paragraph breaks, maintaining document structure. DEVICE-OPTIMIZED PERFORMANCE ENGINE Every pipeline stage adapts to your specific Apple Silicon chip. • 3-Tier Metal GPU Search — Automatically selects fastest shader: Threadgroup (≥1000 vectors), SIMD4 (100-999), or Scalar fallback. Previously all searches used the slowest kernel. • Device-Specific OCR Concurrency — A19 Pro: 8 ops @ 1ms. A18 Pro: 6 @ 2ms. A17 Pro: 4 @ 3ms. Older: 2 @ 6ms. • Adaptive OCR Page Filtering — Pre-screens pages, skipping 50-80% of clean digital pages before OCR runs. • Concurrent GPU Rendering — CIFilter preprocessing now runs in parallel (was serialized). • Concurrent Neural Reranking — Cross-encoder scores pairs via TaskGroup. Bulk dataPointer copy instead of per-element subscript — 3× faster. • GPU Embedding Ingestion Mode — Uses CPU+GPU compute units during ingestion, freeing Neural Engine for OCR. • 5-Candidate OCR — Evaluates 5 transcription alternatives per recognition (was 3). STABILITY & HARDENING • Fixed crash in MMR diversification (dimension 0 edge case) • Matrix dimension validation added to RAGEngine • GPUComputeService edge cases — empty arrays no longer wrapped in spurious outer arrays • StoreKit product loading races against 5-second timeout — no more 30-60s hangs on airplane mode • Fatal threading assertion replaced with safe fallback in Release builds • Pipeline trace diagnostics compiled out of Release via #if DEBUG • Privacy manifest updated with SystemBootTime API declaration • Dead code removed from cross-encoder path ZERO-DATA-LOSS INGESTION Prevents silent content loss on font-encoded PDFs. • Font Cipher Detection — PHASE -1 validation detects PDFs where characters are shifted (Kia, Hyundai manuals). Jaccard similarity between OCR and PDFKit text. Garbled docs route through full Vision OCR. Prevents 93% content loss. • Raw String Regex Fix — 5 Unicode patterns were failing in Swift raw strings. CJK bullet, en-dash, em-dash patterns now work. • Garbled Image Extraction Fix — Image extraction on font-encoded PDFs no longer skips diagrams. • Dynamic Image Text Budget — Scales with document complexity instead of fixed limit. SWIFT 6 COMPLIANCE • 11 files updated with strict concurrency annotations. Zero runtime behavior change.

Version 1.1 • Updated descriptions and metadata to accurately reflect the 23-step RAG pipeline. • Clarified on-device storage and privacy guarantees. • Documentation improvements.