Case — inside the system
A film crew made of services.
Script in — broadcast-ready episode out. No humans in the render path.
60+
service modules in production
38
background tasks on the fleet
59
tools the agent can wield
60+
QA rules gate every episode
VideoLinker runs an 11-step production line: series bible, episode ideas, script, shot decomposition, keyframes, image-to-video, cloned-voice narration, word-timed captions, and a final FFmpeg composition with transitions, overlays and a mixed SFX bed. A dedicated GPU container upscales frames on the way through. Every episode faces a QA engine scoring it 0–100 against 60+ weighted rules — hook, pacing, variety, continuity — before it is allowed to exist.
Above the pipeline sits an autonomous agent: it plans the job, calls 59 tools across 12 tool servers, respects budget caps, and pauses for human approval only where you tell it to. Artifacts are content-addressed and deduplicated by hash. The whole factory is one API call wide.
System map
Live simulation — hover the nodes, drag them around.
Inside the system
VideoLinker
AI-orchestrated video production platform
Canvas App
Infinite-canvas studio with an AI intent bar
Core API
30 routers, multi-tenant, live progress streams
Task Fleet
38 background tasks: generate, render, publish
Pipeline
11 ordered steps: series bible → final cut
Script Engine
Series bible, episodes, scripts, shot decomposition
QA Engine
60+ weighted rules score every episode 0–100
Keyframe Gen
Shot keyframes across multiple image models
Video Gen
Image-to-video clips across providers
Voice & TTS
Narration with cloned voices and paced delivery
Captions
Word-level timings, styled burned-in subtitles
Composition
FFmpeg assembly: transitions, overlays, SFX mix
GPU Upscaler
Dedicated GPU container for frame upscaling
Agent Loop
An autonomous agent plans and calls 59 tools
Tool Layer
12 tool servers speaking one agent protocol
Artifact Store
Content-addressed artifacts, deduped by hash
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