Deterministic operations
Naming, file structure, presets, exports and artefact-presence checks. These automate well when input conditions are known.
AUTOMATION / CONTROL ROOM
Video-production automation is not one magic button. It is a combination of deterministic rules, AI-assisted analysis, Resolve tooling and explicit human approval points. This page shows how those layers can form one controllable workflow.
repeatable operations
analysis and suggestions
a human owns the decision
Choose a production type and a stage. The panel shows what can be delegated to a system and where human review should remain explicit.
Build a navigable representation of the conversation.
Transcription, pauses, speakers and initial segmentation.
Verify names, domain terms, ambiguous words and semantic boundaries.
Long spoken content where transcript, semantic segmentation and a supervised rough cut are useful.
This is a learning map, not a fixed recipe. A real workflow depends on the footage, Resolve version, external services and delivery requirements.
THREE LAYERS / 02
A strong workflow does not try to make everything AI. It separates what can be formalized, where a model can assist analysis and where a responsible person must approve the result.
Naming, file structure, presets, exports and artefact-presence checks. These automate well when input conditions are known.
Transcription, moment discovery, semantic segmentation, B-roll or rough-sequence suggestions. The result still needs verification.
Meaning, story, tone, final QC and exceptions. Automation should lead to a decision point, not conceal it.
CAPABILITY DECK / 03
Each card represents a separate production area with its own automation layer and control boundary.
Speech → text → timing → presentation.
Open directionRepeatable technical processing with explicit checks for difficult material.
Open directionFind rough-cut candidates without silently approving the edit.
Open directionSuggest supporting media according to scene meaning and project constraints.
Open directionTemplate-driven elements, data and code-based graphics through Fusion / Motion Engine.
Open directionStructure, timestamps, descriptions and release metadata from an approved version.
Open directionRepeatable presets, variants, names and output checks.
Open directionFolders, naming, versions and asset checks before the edit starts.
Open directionSYSTEM MAP / 04
Resolve remains the production environment. Specialized layers connect around it — scripts, AI, graphics and delivery. Every layer needs a clear input, output and verification point.
timeline · media · Fusion · Fairlight · Color · Deliver
Repeatable commands and integrations
02Context analysis and action suggestions
03Templates, compositing and graphic systems
04Code-driven animation and procedural graphics
05Variants, release package and checks
The architecture depends on the Resolve version, available APIs, source formats and which external services are allowed in a specific workflow.
EXAMPLE SYSTEMS / 05
Instead of generic percentage claims, these examples show what can be delegated to a system and what is better kept under editorial control.
Transcript → cut candidates → captions → chapters → variants
Sync → speech → switching candidates → audio → master
Moment discovery → vertical version → captions → variants
PRODUCTION RULES / 06
Good automation does not only perform an action. It lets you understand what happened, repeat it and stop safely when assumptions are wrong.
Logs, stage state and explicit outputs instead of hidden magic.
The same technical input conditions should produce predictable technical output.
An automated step should not destroy the ability to return to source material or an approved version.
Creative and risky decisions get an explicit approval point.
BUILD / NEXT STEP
Describe the current sequence, software involved and the point where time is lost. It is fine to begin with one stage — the entire production chain does not need to be automated at once.