Mission 03 / Orchestration

Personal Brand Automation

Workflow and output evidence

One validated request branches into headshots, LinkedIn content, or both, then normalizes and delivers the outputs.

DemonstratedOne validated request returns a 30-day, 12-post LinkedIn content calendar and a generated professional headshot, delivered by email.

The problem

Personal-brand production required different media pipelines without duplicating intake, validation, or delivery logic.

My responsibility

Built the routing, custom image-processing nodes, model preparation, content generation, normalization, and error paths.

Evidence

Screenshots from the live system and the workflow itself — captions describe only what is visible.

System route

The architecture below is a readable abstraction of the documented workflow, not a simulated live execution.

  1. Validate the webhook request
  2. Route by requested service
  3. Process image and profile inputs
  4. Generate and normalize each output

Reliability notes

  • Input normalization keeps downstream nodes working with consistent data.
  • The supplied workflow documents explicit error-handling branches.

Evidence currently available

  • Full workflow screenshot
  • Generated headshot
  • Generated content artifact

Technology used

  • n8n
  • OpenAI API
  • Gemini
  • Airtable
  • Webhooks

Evidence still being recovered

Client-approved metrics, execution recordings, exact delivery dates, and sanitized implementation artifacts will be added only after verification. This dossier deliberately avoids unsupported impact claims.

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