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YouTube Video Upload & Metadata Automation

YouTube Video Upload & Metadata Automation is a 12-node automation blueprint connecting Google Drive, YouTube, OpenAI. Inspect its trigger, execution graph, branches, and implementation requirements.

System map / archived topology

See the whole system without the collisions.

Archived canvas positions are normalized into readable zones. Every visible connector still represents an edge from the source graph.

12

Nodes

11

Edges

5

Zones

YouTube Video Upload & Metadata Automation execution graphStructural view of 12 workflow nodes and 11 visible connections. Parameters and credentials are intentionally excluded.ZONE 01Operations3 NODESZONE 02Transform3 NODESZONE 03Intelligence2 NODESZONE 04Intelligence2 NODESZONE 05Operations2 NODESNew Video?TRIGGER / GOOGLEDRIVETRIGG02Download New VideoINTEGRATION / GOOGLEDRIVE01Upload Video to YoutubeINTEGRATION / YOUTUBE11ApifyTokenTRANSFORM / SET12Get TranscriptINTEGRATION / HTTPREQUEST06Adjust Transcript FormatTRANSFORM / CODE07YT TagsAI / AGENT05Create DescriptionAI / OPENAI03YT TitleAI / OPENAI092.5FlashPrevAI / LMCHATGOOGLEGEMI04Delete File from Uploa…INTEGRATION / GOOGLEDRIVE10Update Video's MetadataINTEGRATION / YOUTUBE08
triggeraidecisiontransformintegration
Scroll horizontally to inspect every zone.structural metadata only · graph 5a43cb23436f37d5

Structured review

Read the workflow as a system, not a node dump.

The archived graph is grouped into operational zones, then checked against the controls needed to adapt the pattern safely. Every count below is derived from the normalized record.

01

Entry signals

1 node

Events, schedules, and unconnected roots that can start an execution.

New Video?

Trigger

02

Data & operations

6 nodes

Transformations and external-system actions that move the work forward.

Download New Video

Integration

Get Transcript

Integration

Adjust Transcript Format

Transform

Update Video's Metadata

Integration

Upload Video to Youtube

Integration

ApifyToken

Transform

03

Intelligence & routing

4 nodes

Model calls and control points that interpret, branch, or govern the run.

Create Description

AI reasoning

2.5FlashPrev

AI reasoning

YT Tags

AI reasoning

YT Title

AI reasoning

04

Terminal actions

1 node

Nodes with no visible outgoing edge: the workflow’s observable outcomes.

Delete File from Upload Folder (Optional)

Integration

Provenance boundary

Inspectable does not mean redistributable.

This page publishes structural metadata extracted from a local workflow archive. Parameters, credential references, code bodies, and downloadable JSON are excluded. The route can enter indexing only after a graph match and quality gate; source licensing remains a separate promotion gate.

Graph match
exact
Quality score
14 / 14
Raw download
Held
Crawler state
Follow

Adjacent systems

Keep tracing the stack.

Related records are ranked by shared integrations and graph quality.

Turn the map into a plan

Adapt this blueprint to your company.

Bring the system shape into a workspace, then define the production controls, data boundaries, owners, and delivery sequence around your context.