Reviving Memories with AI
Collaborated directly with SP Madrid's CEO and cross-functional team to pioneer an AI-driven multimedia presentation that breathed new life into historical imagery. By leveraging advanced prompt engineering and cutting-edge AI video generation tools, I transformed static photographs into dynamic, emotionally resonant narratives. The project showcased AI's transformative potential in digital storytelling and archival restoration, creating an immersive experience that connected past and present while demonstrating how AI can preserve cultural heritage and make it accessible for modern audiences.
Automation & AI · SP Madrid
Implementation
I led the AI implementation strategy by developing a systematic prompt engineering framework tailored for historical imagery. After evaluating multiple AI video generation platforms, I created custom workflows that balanced automation with creative control. Working closely with stakeholders, I established quality control processes to ensure historical accuracy while experimenting with various animation styles to achieve natural, emotionally resonant movement. The process involved iterative refinement, A/B testing different approaches, and maintaining close collaboration with the leadership team throughout production.
Context & stakes
SP Madrid needed to create an engaging multimedia presentation from decades-old static photographs to showcase their company's rich heritage and evolution. Traditional animation methods would require months of production time, exceed budget constraints, and risk losing the authentic character of the original imagery. The challenge was to modernize historical content while preserving its emotional authenticity and historical accuracy.
System design overview
Creative Pipeline
Source photographs digitized and curated → Midjourney for style reference generation → Runway Gen-2 for image-to-video animation → Adobe Premiere Pro for sequencing, pacing, and narrative assembly → After Effects for compositing, color grading, and final delivery.
Production Workflow
Prompt engineering framework established for consistent historical aesthetic → A/B testing of animation styles (subtle motion vs. dynamic) → Quality gates at each stage: historical accuracy review, technical quality check, stakeholder approval → Iterative refinement cycles with C-suite feedback → Final export in multiple formats for exhibition and digital distribution.
Measurable outcomes
Technologies used
- AI generation
- Runway Gen-2Midjourney
- Post-production
- Adobe Premiere ProAfter Effects
- Design
- FigmaPhotoshop
