{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_intellibar","slug":"intellibar","name":"IntelliBar","type":"product","url":"https://intellibar.app","page_url":"https://unfragile.ai/intellibar","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_intellibar__cap_0","uri":"capability://text.generation.language.contextual.text.transformation.with.tone.style.adjustment","name":"contextual text transformation with tone/style adjustment","description":"Intercepts selected text from any macOS application and sends it to OpenAI/Anthropic/Google models for real-time rewriting with specified tone (casual→professional, verbose→concise) or style modifications. Works by capturing the active text field content via system-level text selection APIs, maintaining the original context, and replacing selected text with model output without requiring copy-paste workflows between windows.","intents":["rewrite an email from casual to professional tone without leaving the email client","quickly condense verbose text to bullet points while editing in any app","adjust writing tone across multiple applications from a single interface","transform code comments or documentation style on-the-fly"],"best_for":["Mac power users writing across multiple applications (email, Slack, docs, code editors)","professionals who need rapid tone/style adjustments without context switching","non-native English speakers refining written communication in real-time"],"limitations":["macOS only — no Windows/Linux support limits cross-platform workflows","requires active text field with selectable content — cannot transform images, PDFs, or non-editable text","latency depends on model choice and network — reasoning models (o1, o3) may add 5-30 second delays unsuitable for real-time editing","no undo integration with host application — replaced text cannot be recovered via app's native undo"],"requires":["macOS (minimum version unknown, likely 10.15+)","API key for at least one supported model provider (OpenAI, Anthropic, Google, etc.)","active internet connection for cloud models"],"input_types":["plain text","selected text from any macOS text field","email body content","code comments"],"output_types":["transformed plain text","replaced text in original application"],"categories":["text-generation-language","macos-system-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_1","uri":"capability://tool.use.integration.multi.model.response.comparison.with.provider.switching","name":"multi-model response comparison with provider switching","description":"Allows users to submit the same prompt to multiple AI models (OpenAI GPT-4o, Anthropic Claude 3.5, Google Gemini, Perplexity, DeepSeek, etc.) and compare responses side-by-side or sequentially. Implements a provider abstraction layer that normalizes API calls across 8+ different model providers with varying authentication, rate limits, and response formats, enabling users to evaluate model strengths without manual API switching.","intents":["compare GPT-4o and Claude 3.5 responses to the same prompt to pick the best output","test reasoning models (o1, o3, DeepSeek R1) against faster models to justify latency tradeoffs","evaluate Perplexity's search-augmented responses vs pure language models for factual accuracy","switch between local (Ollama) and cloud models to test privacy vs capability tradeoffs"],"best_for":["AI researchers and builders evaluating model performance across providers","teams standardizing on a primary model but needing fallback comparisons","users optimizing cost-vs-quality by testing cheaper models (Llama, Grok) against premium options"],"limitations":["requires separate API keys for each provider — no unified authentication, increasing setup friction","response latency compounds with multiple models — comparing 3 models sequentially may take 30+ seconds","no built-in cost tracking — users must manually calculate spend across providers and models","context window mismatches — long prompts may exceed limits for smaller models (Llama 1B, 3B), causing silent truncation or errors","no persistent comparison history — cannot save/export side-by-side comparisons for later analysis"],"requires":["macOS","API keys for 2+ model providers (OpenAI, Anthropic, Google, Perplexity, DeepSeek, xAI, Meta, or local Ollama instance)","active internet connection for cloud models"],"input_types":["text prompt","selected text from any application"],"output_types":["multiple text responses from different models","side-by-side or sequential comparison view"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_10","uri":"capability://memory.knowledge.model.specific.context.window.awareness.with.automatic.truncation","name":"model-specific context window awareness with automatic truncation","description":"Tracks context window limits for each supported model (GPT-4o: 128K, Claude 3.5: 200K, Gemini 2.0: 1M, etc.) and automatically manages prompt/response history to fit within model constraints. Implements context window calculation logic that estimates token counts for user prompts and conversation history, truncating or summarizing older messages when approaching the limit to prevent token overflow errors.","intents":["maintain long conversations without manually managing context window limits","automatically switch to models with larger context windows when conversation grows","avoid token overflow errors that would cause API failures","understand which models are suitable for long-context tasks (e.g., analyzing large documents)"],"best_for":["users working with long documents or extended conversations","developers building on top of IntelliBar who need predictable context behavior","teams standardizing on models with specific context window requirements"],"limitations":["token counting mechanism is undocumented — unclear if it uses model-specific tokenizers or approximations, may be inaccurate","automatic truncation strategy is undocumented — unclear if it drops oldest messages, summarizes, or uses other strategies","no user control over truncation — users cannot choose to keep full history or adjust truncation behavior","context window limits may change with model updates — IntelliBar may not reflect latest limits without updates","no warning before truncation — users may not realize conversation history was truncated","Gemini 2.0's 1M context window may be underutilized — no indication if IntelliBar leverages extended context for long-document analysis"],"requires":["macOS","conversation history with multiple messages"],"input_types":["user prompt","conversation history"],"output_types":["truncated or summarized conversation history","model response"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_11","uri":"capability://text.generation.language.in.place.text.field.editing.with.application.agnostic.integration","name":"in-place text field editing with application-agnostic integration","description":"Captures the active text field in any macOS application (email, Slack, code editor, document, etc.) and enables AI-powered editing directly within that field without copy-paste workflows. Uses macOS accessibility APIs to detect the active text field, read selected text, and write modified text back to the original field, maintaining formatting and cursor position where possible.","intents":["edit email body directly in Mail app without copying to external editor","refactor code comments in IDE without leaving the editor","rewrite Slack messages before sending without copy-paste","transform document text in Pages or Word without manual context transfer"],"best_for":["users working across multiple applications who want unified AI editing","professionals optimizing for workflow efficiency and minimal context switching","accessibility users who benefit from in-place editing without manual copying"],"limitations":["accessibility API limitations — some applications may not expose text fields to accessibility APIs, preventing IntelliBar integration","formatting loss — rich text formatting (bold, italics, links) may be lost when text is replaced","cursor position not preserved — after editing, cursor may jump to end of text or be lost entirely","no undo integration — replaced text cannot be recovered via application's native undo, only via IntelliBar history","no multi-field editing — cannot edit multiple text fields in the same application simultaneously","sandboxing restrictions — macOS sandbox may prevent IntelliBar from accessing text fields in some applications"],"requires":["macOS with accessibility permissions granted to IntelliBar","active text field with selectable content in a supported application"],"input_types":["selected text from any macOS text field"],"output_types":["edited text written back to original text field"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_2","uri":"capability://text.generation.language.voice.command.input.with.native.macos.speech.recognition","name":"voice command input with native macos speech recognition","description":"Captures voice input via macOS native speech recognition (not requiring external services like Whisper by default), converts spoken words to text prompts, and routes them to selected AI models. Integrates with system-level audio APIs to enable hands-free interaction without opening a separate voice recording application or leaving the current workflow context.","intents":["dictate a prompt while hands are occupied (e.g., while coding or writing)","quickly ask a question without typing, using natural speech patterns","enable accessibility for users with typing limitations or RSI","reduce context switching by speaking prompts instead of typing"],"best_for":["users with accessibility needs (RSI, carpal tunnel, mobility limitations)","developers and writers who prefer verbal ideation over typing","power users optimizing for speed in high-focus workflows"],"limitations":["macOS native speech recognition has lower accuracy than cloud-based Whisper API — may require correction for technical terms, code, or accented speech","no speaker identification — cannot distinguish between multiple users in shared environments","background noise sensitivity — requires relatively quiet environment for reliable transcription","no custom vocabulary training — cannot learn domain-specific terms (e.g., company names, technical jargon) without manual correction","latency from speech-to-text conversion adds 1-3 seconds before prompt reaches AI model"],"requires":["macOS with native speech recognition enabled (System Preferences > Accessibility > Speech Recognition)","microphone hardware","English or other language supported by macOS speech recognition"],"input_types":["spoken audio via microphone"],"output_types":["transcribed text prompt","AI model response (text or audio)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_3","uri":"capability://text.generation.language.text.to.speech.output.with.model.response.reading","name":"text-to-speech output with model response reading","description":"Converts AI model responses from text to spoken audio using macOS native text-to-speech (TTS) engine, allowing users to consume AI-generated content audibly without reading. Integrates with the response display pipeline to enable one-click audio playback of any model output, supporting multiple voices and languages depending on macOS TTS capabilities.","intents":["listen to AI-generated content while driving, exercising, or doing other tasks","verify AI output quality by hearing it read aloud (catches awkward phrasing invisible when reading)","enable accessibility for users with visual impairments or reading fatigue","reduce screen time by consuming AI responses audibly"],"best_for":["users with visual accessibility needs","professionals consuming AI content during commutes or exercise","developers reviewing generated code or documentation by ear"],"limitations":["macOS TTS quality varies by voice — default voices may sound robotic or unnatural compared to premium TTS services (ElevenLabs, Google Cloud TTS)","no voice customization — cannot select specific speaker gender, age, or accent beyond macOS system voices","no audio export — TTS output cannot be saved as audio file for later playback or sharing","language support limited to macOS TTS capabilities — may not support all languages or accents","no prosody control — cannot adjust emphasis, pacing, or intonation for specific words or phrases"],"requires":["macOS with text-to-speech enabled","audio output device (speakers or headphones)"],"input_types":["AI model response text"],"output_types":["spoken audio via system speakers or headphones"],"categories":["text-generation-language","accessibility"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_4","uri":"capability://memory.knowledge.local.conversation.storage.with.searchable.chat.history","name":"local conversation storage with searchable chat history","description":"Stores all conversation history locally on the user's Mac (not on IntelliBar servers), enabling full-text search across past prompts and responses. Implements a local database or file-based storage system that maintains conversation threads, timestamps, and model metadata, allowing users to retrieve previous interactions without cloud sync or external storage dependencies.","intents":["search past conversations to find a previous solution or prompt without scrolling through history","maintain conversation context across sessions without relying on cloud storage","preserve sensitive conversations locally without transmitting to third-party servers","audit conversation history for compliance or personal record-keeping"],"best_for":["users with privacy concerns about cloud storage of conversations","teams handling sensitive information (legal, medical, financial) requiring local-only storage","power users who reference past conversations frequently and need fast search"],"limitations":["no cloud sync — conversations are device-specific and cannot be accessed from other Macs or devices","no backup mechanism documented — local storage is vulnerable to data loss if Mac is damaged or storage corrupted","search performance degrades with large conversation histories — no indication of indexing strategy or query optimization","no conversation export format documented — cannot easily migrate conversations to other tools or archive them","storage space consumed by conversation history is unbounded — no automatic cleanup or archival policy mentioned"],"requires":["macOS with sufficient local storage","no external services or cloud accounts required"],"input_types":["search query (text)"],"output_types":["matching conversation threads","prompts and responses with timestamps"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_5","uri":"capability://text.generation.language.slash.command.custom.instruction.templates","name":"slash command custom instruction templates","description":"Provides a slash command system (e.g., /code, /es, /5x, /brief) that prepends predefined system prompts or instruction templates to user queries before sending to AI models. Enables rapid switching between common use cases without manually retyping instructions, implementing a lightweight prompt templating system that modifies the effective system prompt based on command selection.","intents":["quickly switch to code-focused mode without retyping 'explain this code' instructions","generate Spanish responses with /es without manually specifying language","condense responses to 5 bullet points with /5x without repeating the instruction","get brief answers with /brief without asking for conciseness each time"],"best_for":["power users with repetitive prompting patterns","teams standardizing on common prompt templates across users","users optimizing for speed by reducing typing for common requests"],"limitations":["slash commands are hardcoded or limited to predefined set — no indication of custom command creation UI","no command discovery mechanism — users must memorize available commands or reference documentation","commands apply globally to all models — cannot customize behavior per model (e.g., /code might work differently for GPT-4 vs Claude)","no command chaining — cannot combine multiple commands in a single prompt","no conditional logic — commands execute the same way regardless of input content or context"],"requires":["knowledge of available slash commands","macOS"],"input_types":["slash command + optional text prompt"],"output_types":["AI response with command-specific system prompt applied"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_6","uri":"capability://tool.use.integration.local.ollama.model.integration.with.custom.model.linking","name":"local ollama model integration with custom model linking","description":"Enables users to run open-source models locally via Ollama (a local LLM runtime) and route prompts to those models through IntelliBar's interface. Also supports 'linking to any other model' via custom API endpoints, allowing integration with self-hosted models, private LLM servers, or alternative model providers not in the built-in list. Implements a provider abstraction that treats local and custom models as first-class citizens alongside cloud providers.","intents":["run Llama 3.3 70B locally for privacy-sensitive work without sending data to cloud providers","test custom fine-tuned models without building a separate UI","integrate with self-hosted LLM servers (vLLM, text-generation-webui) for cost control","use alternative model providers (Together.ai, Replicate, custom APIs) without waiting for built-in support"],"best_for":["privacy-conscious teams handling sensitive data requiring on-device inference","developers testing custom fine-tuned or open-source models","organizations with existing self-hosted LLM infrastructure wanting unified UI","cost-optimized workflows using cheaper open-source models"],"limitations":["Ollama integration requires separate Ollama installation and running instance — adds setup complexity and system resource overhead","local model performance depends on Mac hardware — M1/M2/M3 Macs have better performance than Intel, but still slower than cloud inference for large models","no automatic model downloading — users must manually pull models via Ollama CLI before using in IntelliBar","'Link to any other model' mechanism is undocumented — unclear if it requires API key, custom authentication, or specific endpoint format","no model switching UI documented — unclear how users select between local Ollama models or switch to custom endpoints","local models may lack features of cloud models (e.g., vision, function calling) — no compatibility matrix provided"],"requires":["macOS","Ollama installed and running (for local models)","sufficient local storage and RAM for model weights (Llama 70B requires ~40GB)","API endpoint and credentials for custom model linking"],"input_types":["text prompt","selected text from any application"],"output_types":["text response from local or custom model"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_7","uri":"capability://tool.use.integration.menu.bar.accessibility.with.keyboard.shortcut.activation","name":"menu bar accessibility with keyboard shortcut activation","description":"Provides a menu bar icon and keyboard shortcuts (⌘Space for main interface, ⌘K for command menu, ⌘O for instant search) that activate IntelliBar without requiring app switching or window management. Implements system-level keyboard event interception to trigger the interface from any application context, keeping the AI assistant always one keystroke away regardless of active window.","intents":["access AI assistance without breaking focus or switching applications","quickly ask a question while working in code editor, email, or any other app","maintain flow state by keeping AI interactions lightweight and non-disruptive","enable rapid iteration between writing/coding and AI feedback"],"best_for":["power users optimizing for minimal context switching","developers and writers in deep focus sessions","professionals handling multiple applications simultaneously"],"limitations":["keyboard shortcuts may conflict with other macOS applications or system shortcuts — no conflict detection or resolution mechanism documented","menu bar real estate is limited — IntelliBar icon competes with other menu bar apps for visibility","no customizable keybindings documented — users cannot remap shortcuts to personal preferences","menu bar interface may be hidden on smaller displays or when many other menu bar apps are active","keyboard shortcuts only work when IntelliBar is running — no global system-level shortcut when app is closed"],"requires":["macOS","IntelliBar application running in background"],"input_types":["keyboard shortcut","menu bar click"],"output_types":["IntelliBar interface (text input, command menu, or search)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_8","uri":"capability://tool.use.integration.multi.provider.api.key.management.with.unified.authentication","name":"multi-provider api key management with unified authentication","description":"Handles authentication and API key storage for 8+ model providers (OpenAI, Anthropic, Google, Perplexity, DeepSeek, xAI, Meta, local Ollama) through a centralized settings interface. Abstracts provider-specific authentication mechanisms (OAuth, API keys, custom headers) behind a unified configuration system, storing credentials securely (likely in macOS Keychain) and routing requests to the correct provider based on model selection.","intents":["configure API keys for multiple providers in one place without managing separate accounts","switch between providers without re-entering credentials","securely store API keys without exposing them in configuration files","manage API key rotation and expiration across multiple providers"],"best_for":["users evaluating multiple model providers simultaneously","teams with shared API accounts needing centralized credential management","developers building on top of IntelliBar who need multi-provider support"],"limitations":["API key configuration mechanism is undocumented — unclear if UI is intuitive or requires technical knowledge","no API key validation — users may not know if a key is invalid until attempting to use it","no usage tracking or quota management — users cannot see API spend or remaining credits per provider","credential storage mechanism is undocumented — unclear if keys are stored in Keychain, encrypted files, or plaintext","no team/shared credential management — each user must configure their own API keys, limiting team collaboration","no API key rotation alerts — users must manually track expiration dates and update keys"],"requires":["API keys for at least one model provider (OpenAI, Anthropic, Google, Perplexity, DeepSeek, xAI, Meta)","macOS Keychain access (assumed for secure storage)"],"input_types":["API key (text)","provider selection (dropdown or list)"],"output_types":["authenticated API requests to model providers"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_intellibar__cap_9","uri":"capability://search.retrieval.instant.search.across.conversation.history.and.model.responses","name":"instant search across conversation history and model responses","description":"Provides full-text search capability (⌘O shortcut) to query across all stored conversations and model responses, returning matching prompts, responses, and metadata (timestamps, model used). Implements a search index or query engine over the local conversation database, enabling rapid retrieval of past interactions without manual scrolling through conversation threads.","intents":["find a previous solution or prompt without remembering exact wording","locate conversations from a specific date or using a specific model","retrieve code snippets or explanations from past interactions","audit conversation history for compliance or knowledge management"],"best_for":["power users with large conversation histories (100+ conversations)","teams using IntelliBar for knowledge capture and retrieval","researchers or analysts referencing past AI-generated content frequently"],"limitations":["search performance is undocumented — unclear if it uses full-text indexing or linear scan, may be slow with large histories","search syntax is undocumented — unclear if it supports boolean operators, regex, or phrase matching","no search filters documented — cannot filter by date, model, or conversation thread","no search result ranking or relevance scoring mentioned — unclear how results are ordered","search only covers local conversations — cannot search across cloud-synced conversations or other devices"],"requires":["macOS","existing conversation history to search"],"input_types":["search query (text)"],"output_types":["matching conversations with prompts, responses, and metadata"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["macOS (minimum version unknown, likely 10.15+)","API key for at least one supported model provider (OpenAI, Anthropic, Google, etc.)","active internet connection for cloud models","macOS","API keys for 2+ model providers (OpenAI, Anthropic, Google, Perplexity, DeepSeek, xAI, Meta, or local Ollama instance)","conversation history with multiple messages","macOS with accessibility permissions granted to IntelliBar","active text field with selectable content in a supported application","macOS with native speech recognition enabled (System Preferences > Accessibility > Speech Recognition)","microphone hardware"],"failure_modes":["macOS only — no Windows/Linux support limits cross-platform workflows","requires active text field with selectable content — cannot transform images, PDFs, or non-editable text","latency depends on model choice and network — reasoning models (o1, o3) may add 5-30 second delays unsuitable for real-time editing","no undo integration with host application — replaced text cannot be recovered via app's native undo","requires separate API keys for each provider — no unified authentication, increasing setup friction","response latency compounds with multiple models — comparing 3 models sequentially may take 30+ seconds","no built-in cost tracking — users must manually calculate spend across providers and models","context window mismatches — long prompts may exceed limits for smaller models (Llama 1B, 3B), causing silent truncation or errors","no persistent comparison history — cannot save/export side-by-side comparisons for later analysis","token counting mechanism is undocumented — unclear if it uses model-specific tokenizers or approximations, may be inaccurate","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.551Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=intellibar","compare_url":"https://unfragile.ai/compare?artifact=intellibar"}},"signature":"z+wwd1A6dZbhulyS/7sEyJCLqgGLrREMmm4XP5pjET1n3QXmV7GrLB9VnDHtKfJCDRMbgR9TW+IgnitbA6CNCQ==","signedAt":"2026-06-21T09:15:52.159Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/intellibar","artifact":"https://unfragile.ai/intellibar","verify":"https://unfragile.ai/api/v1/verify?slug=intellibar","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}