Conversational Multimodal AI for Media Production
Conversation becomes a production brief; the brief becomes an editable timeline.
Interpret text instructions, voice dialogue, image references, and video clips as a single production command — connecting the pipeline.
Conversation becomes a production brief, and the brief becomes an editable timeline. Planning, storyboards, shot lists, asset generation, and timeline editing — bundled into one flow.
— Technical Intent
Conversation becomes a production brief; the brief becomes an editable timeline.
The core is translating multimodal input into production language. The user instructs in natural language, and the system reads intent to build a plan.
— Architecture · 6 layers
Architecture
- 01 · Interface
Conversational Studio UI
Collects voice, text, image, and video as production conversation.
- 02 · Understanding
Intent & Context Parser
Converts target media, audience, and tone into production parameters.
- 03 · Planning
Production Planner
Auto-designs scripts, scene composition, and shot lists.
- 04 · Routing
Media Model Router
Routes LLM, image generation, and TTS to the right task.
- 05 · Compose
Timeline Composer
Assembles shots, captions, and audio into an editable timeline.
- 06 · Review
Revision & QA Loop
Reviews brand fit and rights risks.
— Flow · 5 steps
Operating flow
- Step 01
Multimodal Intake
Ingest conversation, voice, image, and video.
- Step 02
Shot Planning
Design script and cuts for the target length.
- Step 03
Asset Generation
Generate image, video, audio, and caption assets.
- Step 04
Timeline Assembly
Combine per-sequence and per-shot prompts.
- Step 05
Human Review
Review fidelity, brand tone, and quality.
— Operating Principles
Operating standards production teams can trust
Model Router
Pick models by quality, speed, and cost.
Asset Provenance
Keep prompts, models used, and edit history.
Brand-Safe Review
Pre-review copy, images, and narration against guidelines.
Production Export
Produce outputs extensible to short-form ads and product videos.
Other R&D
Back to CRAX →- R&D · 01
Multimodal Story-verse Creation Platform
Creation as a verifiable collaboration structure, not a single generation.
- R&D · 03
Ontology-based AI Operations & Knowledge QA Platform
A structure where the basis of every answer is preserved.
- R&D · 04
Urban Data Platform × Edge AI Integration
On-site readings of urban change loop back as urban services.
