Content Management

At the heart of AKARI's organization system is the Content Pool — a unified, intelligent asset management system that goes far beyond traditional file folders. Think of the Content Pool as a smart library for all your creative assets. Every image, video, audio file, document, font, and template you import becomes part of an interconnected knowledge graph. The AI automatically analyzes each asset, extracts metadata, and discovers relationships to your other content. Unlike traditional file managers where you create folders and manually sort files, the Content Pool organizes itself. Drop in a video and the AI knows its subject matter, visual style, color palette, audio characteristics, and which of your other assets it relates to. This means you spend less time organizing and more time creating. The Content Pool is shared across all studios in your project. An image imported for a video edit is instantly available in your design canvas, your blog post, and your social media scheduler. No duplicating files, no exporting between tools.

The Content Pool organizes assets into three conceptual layers, each serving a different purpose in your creative workflow: Content Layer These are your primary creative assets — the things you create and publish. Videos, images, articles, audio recordings, presentations. This is the "what" of your creative output. When you open the Content Pool, you see this layer by default. Style Layer Supporting assets that define how your content looks and sounds. This includes BGM tracks, sound effects, fonts, color palettes, templates, lower thirds, intro/outro sequences, and transition presets. Toggle this layer to see the building blocks behind your published work. Taste Layer This is where AKARI gets truly unique. The Taste Layer is automatically generated by AI — it's an extracted profile of your creative style based on everything you've made. Your color tendencies, typography preferences, editing rhythm, writing voice, and visual composition patterns are all captured here. The Taste Layer isn't just documentation — it actively guides the AI partner. When you start a new project, the AI already knows your aesthetic because it's learned from your Taste profile. This is how AKARI maintains brand consistency without you having to think about it.

When you add any file to the Content Pool, AKARI's AI performs a comprehensive analysis entirely on your local machine: Visual Analysis (for images and video) • Subject detection — identifies people, objects, scenes, and activities • Style classification — determines whether the visual is minimalist, vibrant, cinematic, corporate, etc. • Color extraction — pulls the dominant and accent colors • Composition analysis — notes framing, symmetry, and spatial relationships • Quality assessment — flags resolution, sharpness, and potential issues Audio Analysis (for audio and video) • Speech detection and transcription — converts spoken words to searchable text • Speaker identification — distinguishes between different voices • Music detection — identifies tempo, key, mood, and genre • Noise assessment — flags background noise levels Text Analysis (for documents) • Topic extraction — identifies main themes and subjects • Sentiment analysis — determines tone and emotional register • Keyword extraction — pulls important terms for search • Reading level assessment — gauges complexity All of this happens in the background immediately after import. By the time you need to find or use an asset, it's already fully cataloged and connected to related content in your library.

One of AKARI's most visually striking features is the force-graph visualization — an interactive network map of your entire content library. In this view, each asset appears as a node. Lines (edges) connect related assets. The strength of the connection determines how close the nodes are drawn together, creating natural clusters of related content. How to Use the Graph View Explore clusters. Related content naturally groups together. You might discover that your "morning routine" content forms a distinct cluster connected to both your "productivity" and "cooking" content — revealing cross-promotion opportunities you hadn't considered. Find hidden connections. The graph surfaces relationships that folder hierarchies hide. A photo from a vacation might be visually similar to a product shot you did months later, suggesting a style consistency you weren't even aware of. Navigate by relationship. Click any node to see its direct connections. From there, follow the relationship chains to browse your content by association rather than chronology or file type. Filter intelligently. Show only videos, only recent content, only assets with specific tags, or only items from a particular studio. The graph updates dynamically, revealing different relationship patterns. The force graph isn't just a pretty visualization — it's a genuinely useful tool for understanding your creative body of work and finding assets you might have forgotten about.

The Taste Profile is AKARI's answer to the age-old problem of brand consistency. Instead of writing detailed brand guidelines that nobody reads, AKARI observes your actual creative output and extracts your style automatically. What Gets Extracted Color Tendencies The AI tracks which color palettes you gravitate toward across all your work. Not just the colors you explicitly choose, but the overall warmth, saturation, and contrast patterns that define your visual identity. Typography Preferences Your font choices, size hierarchies, spacing preferences, and text styling patterns are recorded. When the AI suggests text for a new design, it already knows whether you prefer clean sans-serifs or elegant serifs. Editing Patterns In video work, the AI notes your typical cut rhythm, transition preferences, pacing tendencies, and effect usage. Your "style" of editing becomes a reusable template. Writing Voice If you write articles, social posts, or scripts, the AI captures your vocabulary level, sentence structure, formality, and rhetorical patterns. Drafted content matches your voice from the start. Visual Composition How you frame subjects, use negative space, balance elements, and guide the viewer's eye — all captured as part of your visual signature. The Taste Profile updates continuously as you create more content. You can also review and adjust it manually — tell the AI "I'm evolving my style toward more minimalism" and it adapts accordingly.

Finding the right asset should take seconds, not minutes. AKARI provides three complementary search methods: Text Search The traditional approach — search by filename, tag, or description. Fast and precise when you know what you're looking for. AKARI enhances this with AI-generated tags, so even files you never manually labeled are searchable. Semantic Search Describe what you're looking for in natural language: "that video where I talked about morning routines near the window" or "upbeat background music for a product launch." The AI understands meaning, not just keywords, so it can find assets based on their content and context. Semantic search uses vector embeddings calculated locally on your machine. Your search queries never leave your device, and the search indexes are stored alongside your content in the project directory. Visual Search Drop in a reference image and say "find similar." AKARI compares visual features — color, composition, style, subject matter — to find matching assets in your library. This is especially powerful when you have a mood or aesthetic in mind but can't describe it in words. All three search methods can be combined with filters: date range, file type, studio of origin, aspect ratio, duration, and any custom tags you've applied.

AKARI tracks six types of relationships between assets, providing a richer organizational structure than simple folders: 1. Derived One asset was created from another. A thumbnail derived from a video. A social media crop derived from a full photo. A transcript derived from an audio recording. This relationship creates a clear lineage for your content. 2. Related Assets share a topic, theme, or context. A blog post about coffee and a video tour of a coffee shop are related. The AI discovers these connections automatically based on content analysis. 3. Variant Different versions of the same content. A 16:9 video and its 9:16 recut. A blog post in English and its Japanese translation. Original and color-graded versions of a photo. 4. Series Assets that form a sequence. Episodes of a video series. Parts of a blog series. Chapters of a course. Series relationships help you maintain continuity and track progress. 5. Style-Used Content that uses a specific style asset. This video uses that background music. This design uses that font. This article follows that template. These relationships make it easy to find all content that shares a common style element. 6. Remix A creative reinterpretation of existing content. A mashup video that incorporates clips from multiple sources. A design that riffs on an earlier concept. Remix relationships celebrate creative evolution. The AI discovers most relationships automatically, but you can also create and modify them manually. Relationships are bidirectional or directional depending on type.

While the Content Pool's graph-based organization handles most needs automatically, you can also create Collections for manual curation and Smart Folders for dynamic filtering. Collections A collection is a hand-picked group of assets. Use them for: • Campaign materials — group all assets for a specific marketing campaign • Client deliverables — organize the final outputs for a client project • Mood boards — curate reference images for a creative direction • Favorites — bookmark assets you use frequently Collections are lightweight — they don't copy or move files, they just create a reference group. Smart Folders Smart Folders are dynamic collections defined by rules. For example: • "All videos created this month" • "Images with warm color palette and landscape orientation" • "Audio files longer than 60 seconds tagged as BGM" • "Assets used in the YouTube studio but not yet in social media" Smart Folders update automatically as new content matches their criteria. They're a powerful way to create views into your content library without manual sorting.

The Content Pool isn't limited to files you create within AKARI. It's designed to be a central hub for all your creative assets, regardless of origin. Importing from Other Tools Drag and drop from Finder, Explorer, or any other application. AKARI accepts hundreds of file formats. Bulk import is supported — drag in an entire folder and every file is analyzed and cataloged. Linked Assets For large files (like raw 4K footage) that you don't want to copy into the project, AKARI supports linked assets. The file stays in its original location on your drive, but the Content Pool maintains a reference with full metadata and analysis. Cloud Storage Integration Connect to your existing cloud storage (Google Drive, Dropbox, iCloud) to browse and import assets without downloading them first. The imported reference is local, but the source file can remain in the cloud until you need it. Stock Asset Integration AKARI can connect to stock photo, video, and audio services. Search and preview stock assets directly within the Content Pool, and import them when you find what you need.

Here are tips from power users to help you get the most from the Content Pool: Drop everything in. Don't overthink organization upfront. The AI handles categorization, tagging, and relationship discovery. Your job is to create and import — the Content Pool does the rest. Let connections emerge naturally. The graph view reveals structure that you might not see with rigid folder hierarchies. Resist the urge to pre-organize. Instead, trust the AI's analysis and discover patterns in your content over time. Curate your Taste Profile periodically. Review what the AI has extracted about your style every few weeks. Correct any misunderstandings: "I don't actually prefer this font — I was using it for a specific client." Your corrections make the profile more accurate. Use studios as entry points. Each studio can browse the Content Pool filtered to relevant content types. The Video Studio shows video-first views; the Design Studio shows image-first views. This natural filtering reduces visual clutter. Archive, don't delete. Removed content still provides relationship context for your remaining assets. An old blog post that you've unpublished still helps the AI understand the evolution of your style and the connections between your current work. Build a style library deliberately. As you establish your brand, intentionally import and tag your core style assets — brand fonts, color palettes, logo variations, signature transitions. This foundation makes everything else more consistent. Review analytics. The Content Pool tracks which assets get reused most often, which remain untouched, and which have the most connections. This data helps you understand what's working in your creative library and what might need refreshing.