AUTOMATION / CONTROL ROOM

Move routineinto a system.Keep decisionsunder control.

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.

01
Rules

repeatable operations

02
AI

analysis and suggestions

03
Review

a human owns the decision

WORKFLOW COMPILER / 01

Different production. Different architecture.

LIVE MAP

Choose a production type and a stage. The panel shows what can be delegated to a system and where human review should remain explicit.

SELECTED STAGE
SpeechAI assist

Build a navigable representation of the conversation.

What the system does

Transcription, pauses, speakers and initial segmentation.

What a person checks

Verify names, domain terms, ambiguous words and semantic boundaries.

Workflow balance
rules3
AI2
review1

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

Automation is
three different layers.

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.

RulesRepeatability

Deterministic operations

Naming, file structure, presets, exports and artefact-presence checks. These automate well when input conditions are known.

AI assistContext

Analysis and suggestions

Transcription, moment discovery, semantic segmentation, B-roll or rough-sequence suggestions. The result still needs verification.

Human gateResponsibility

Editorial decision

Meaning, story, tone, final QC and exceptions. Automation should lead to a decision point, not conceal it.

SYSTEM MAP / 04

Not a pile of plugins.
A connected system.

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.

CORE

DaVinci Resolve

timeline · media · Fusion · Fairlight · Color · Deliver

The architecture depends on the Resolve version, available APIs, source formats and which external services are allowed in a specific workflow.

EXAMPLE SYSTEMS / 05

No universal time promises.
Three inspectable architectures.

Instead of generic percentage claims, these examples show what can be delegated to a system and what is better kept under editorial control.

01

Talking-head YouTube video

Transcript → cut candidates → captions → chapters → variants

System
  • transcription
  • technical titles
  • exports
Human
  • what to cut
  • pacing
  • final QC
02

Multicam podcast

Sync → speech → switching candidates → audio → master

System
  • organization
  • transcription
  • release variants
Human
  • camera storytelling
  • difficult audio
  • content
03

Shorts / Reels series

Moment discovery → vertical version → captions → variants

System
  • candidate search
  • templates
  • formats
Human
  • moment selection
  • composition
  • publication decision

PRODUCTION RULES / 06

Automation should
remain inspectable.

Good automation does not only perform an action. It lets you understand what happened, repeat it and stop safely when assumptions are wrong.

01

Observability

Logs, stage state and explicit outputs instead of hidden magic.

02

Repeatability

The same technical input conditions should produce predictable technical output.

03

Rollback

An automated step should not destroy the ability to return to source material or an approved version.

04

Human gate

Creative and risky decisions get an explicit approval point.

BUILD / NEXT STEP

Is there a workflow
you want to stop repeating by hand?

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.