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.