Alejandro.Contact
Now casting: new opportunities

Video · Generative AI · Automation

Alejandro
Gómez Cano

Content creator directing both cameras and AI systems — cinematic stories, shipped at machine speed.

Role

Content Creator & AI Builder

Based in

Offenburg, Germany

Languages

DE · ES · EN

Status

Open for work

Scene 01

Director's statement

“The best content doesn't come from AI or humans alone — it comes from creators who know how to direct both.”

My journey didn't start with code. It started with a camera and a desire to tell stories. As a student videographer I learned what makes people watch: narrative structure, pacing, and an honest frame.

Then I found the second camera — artificial intelligence. Building automated pipelines turned out to need the same instincts as editing: an eye for detail, a feel for rhythm, and ruthless cutting of everything that doesn't serve the story.

Today I create video content and build the AI systems that produce it at scale — most comfortable exactly where storytelling meets engineering.

  • Offenburg, Germany
  • DE · ES · EN
  • Hochschule Offenburg
  • AI-native content
Portrait of Alejandro Gómez Cano
Behind the camera
Scene 02

The Reel

Short-form wall

Some productions under NDA — full reel available in a call

Scene 03

The Machine room

Production-ready AI workflows, shipped and running. Client work stays confidential — the architecture speaks for itself.

Client NDA

/// Pipeline 01

B-Roll Engine

Manual prompt writing and asset management was killing turnaround time on video production.

B-Roll Engine architecture diagram
01 / Input

One Telegram brief

"Need 5 b-roll shots, kitchen scene, morning light" — that's the entire manual step.

02 / Process

Agent pipeline

n8n orchestrates Claude for shot lists, image generation for frames, video generation for motion. A human approves before anything renders.

03 / Output

Assets in Drive

Finished b-roll delivered straight to the team's folder. Brief to broadcast without a producer in the loop.

Telegramn8nClaude APIImage GenVideo GenSupabase

1 msg

brief → pipeline start

HITL

approval before render

Drive

delivery, zero handling

Client NDA

/// Pipeline 02

Content Script Generator

A content team was spending 6+ hours a week on ideation and first drafts before a single camera rolled.

Content Script Generator architecture diagram
01 / Input

Topic + voice profile

Brand tone, taboos and content pillars live in Supabase — the request is just a topic.

02 / Process

Claude drafting agent

Webhook-triggered n8n flow feeds the voice profile to Claude and structures hooks + bodies as JSON.

03 / Output

Brand-aligned drafts

First-draft scripts the creator refines instead of starting from scratch.

n8nSupabaseClaude APIWebhook

< 2 min

per first draft

~$0.02

per output

6 h/wk

ideation time returned

Client NDA

/// Pipeline 03

Interview Reel Recut

Turning long interview footage into social reels meant hours of silence-hunting and manual reframing per clip.

01 / Input

Raw interview footage

Long-form recordings straight from the shoot, plus a Whisper transcript.

02 / Process

Programmatic edit

Remotion pipeline cuts silences, drives punch-in zooms from the transcript, then applies the brand overlay pass.

03 / Output

Branded reels

Social-ready cuts with consistent motion identity — edit decisions as code, reusable every week.

RemotionWhisperffmpegTypeScript

code

edit decisions, versioned

weekly

recurring format served

1 pass

brand overlay applied

$ client details redacted — architecture walkthrough on request

Scene 04

Toolkit

A — Production

  • Adobe Premiere Pro

    Editing & cinematic color grading

  • DaVinci Resolve

    Professional grade & finishing

  • Adobe Lightroom

    Photography enhancement & refinement

B — AI & Automation

  • n8n

    Workflow orchestration for content pipelines

  • Claude & Generative AI

    Scripting, image & video generation

  • NotebookLM

    Fast research & insight extraction

  • Antigravity

    Agent-first IDE — mission control for AI agents

With thanks to — working references

Universität Konstanz
OGF Lab
Marketing & Tourismus Konstanz
STONELINE
Universität Konstanz
OGF Lab
Marketing & Tourismus Konstanz
STONELINE
Universität Konstanz
OGF Lab
Marketing & Tourismus Konstanz
STONELINE
Scene 05

Filmography

  1. Apr 2025 — Present

    Working Student

    OGF Lab

    Entrepreneurship content for social media; advising students on their channels; building the lab's AI-assisted reel pipeline.

  2. Apr 2024 — Apr 2025

    Student Content Creator

    STONELINE

    Food and product content, on-camera presentation, demonstrational videos for retail campaigns.

  3. Dec 2022 — Sep 2023

    Student Videographer

    Marketing & Tourismus Konstanz

    City content creation, event filming, coordination with tourism partners.

  4. Oct 2022 — Sep 2023

    Working Student

    KIM.LR

    Lecture recording, ideation, and social media management for the university podcast.

Education

2024 — Present

Media & Communication (B.Sc.)

Hochschule Offenburg — University of Applied Sciences

Focus: digital media production, applied AI workflows.

2021 — 2023

Foundation studies

Universität Konstanz

Where the camera habit became a profession.

Final cut

Let's make
something together

Looking for someone who can shoot the story and build the system that scales it? I'm open for working-student roles, internships and freelance productions.

alexgomez085@gmail.com