John M Jacobson

My work sits at the intersection of artificial intelligence, creative production, and emerging visual technologies. With more than 15 years of experience in cinematic storytelling, advertising, and digital media, I bring a production-driven perspective to the development and application of generative AI.

Over the past several years, I have focused on advancing AI-powered image and video generation, exploring emerging models, developing sophisticated prompting techniques, and building workflows that bring generative technologies into practical production environments.

As an early adopter, tester, and contributor to the evolution of generative AI, I have worked with leading technology companies, including Google and Meta, helping evaluate emerging capabilities, refine model performance, develop production methodologies, and explore new possibilities for AI-driven media.

My approach combines creative vision, technical experimentation, and production strategy. The objective is not simply to generate content, but to understand, develop, and advance the technologies and workflows that make the next generation of creative production possible.

AI Development, Research & Leadership

My transition into generative AI began at Google, where I moved from creative production into AI project management, leading international teams focused on generative image and video development.

Working alongside researchers, engineers, creatives, and product teams, I helped develop and refine prompting methodologies, testing frameworks, evaluation processes, and creative workflows. This involved exploring emerging models, conducting extensive experimentation, assessing generated outputs, and translating technical capabilities into practical applications.

Today, at Meta, I lead prompt engineering and creative production initiatives within the MediaGen team. My work spans the development, testing, and refinement of multimodal generative workflows, including text-to-image, image-to-image, image-to-video, text-to-video, and video-to-video generation.

I work across creative production, AI research, and data science, testing both internal and external models, developing advanced prompts, producing showcase content, and evaluating the capabilities and limitations of emerging technologies.

Leadership is an important part of my role. I collaborate with multidisciplinary teams, review creative and technical work, mentor and teach other practitioners, and develop demonstrations that help communicate the potential of generative AI.

AI-Driven Image & Video Production

Creative production remains at the core of my work. I specialize in using generative AI to develop cinematic imagery, sophisticated visual concepts, and compelling video content across an expanding range of models and platforms.

My production experience extends across the entire creative process, from concept development and visual direction to prompt engineering, image generation, video synthesis, iteration, and final creative execution.

I continually experiment with established and emerging generative models, exploring their individual strengths, limitations, and creative applications. This includes developing techniques for camera movement, cinematic composition, environmental realism, character performance, visual continuity, and complex scene generation.

Whether developing a cinematic sequence, an experimental visual concept, or a fully AI-generated production, my focus is on achieving results that meet professional creative standards while exploring the possibilities of these rapidly evolving technologies.

Prompt Engineering & Model Evaluation

Effective generative AI production requires more than writing prompts. It requires an understanding of how models interpret information, respond to instructions, process visual references, and translate creative intent into generated results.

My work involves developing, testing, and refining advanced prompting techniques across image and video generation models. I explore different prompting structures, multi-turn workflows, visual references, motion instructions, and model-specific approaches to improve consistency, accuracy, and creative control.

Model evaluation is equally important. I regularly test and benchmark generative capabilities, compare outputs across platforms, identify performance differences, document limitations, and provide creative and technical feedback.

Having worked extensively with both proprietary and third-party AI platforms, I bring a broad understanding of the generative AI landscape and how different models can be applied to real-world creative challenges.

Building Scalable GenAI Workflows

Beyond individual creative projects, much of my work focuses on developing repeatable, scalable systems for generative media production.

This includes designing and testing end-to-end workflows, developing prompting standards, evaluating model outputs, refining production processes, and identifying opportunities to improve quality, consistency, and efficiency.

I approach AI production as an integrated system rather than a collection of isolated tools. This means understanding how different models, platforms, creative processes, and human expertise work together to support larger production objectives.

From high-volume visual generation and iterative video production to structured testing and quality evaluation, I focus on turning experimentation into reliable, production-ready workflows.

The ultimate goal is to bridge the gap between emerging AI capabilities and the practical demands of professional creative production.

Storytelling, Innovation & Human Creativity

Despite the rapid advancement of artificial intelligence, storytelling remains the foundation of compelling creative work.

My background in cinematic production and global advertising has shaped how I approach generative media. I bring an understanding of visual language, narrative structure, composition, pacing, and emotional engagement to technologies that are fundamentally changing how content is created.

I collaborate across creative, technical, and product disciplines to explore new storytelling formats, develop experimental concepts, and demonstrate how generative AI can expand the creative process.

From brand storytelling and cinematic experiences to entirely new forms of AI-generated media, I am interested in how technology can give creators new ways to communicate, experiment, and connect with audiences.

Exploring What Comes Next

Generative AI is fundamentally changing the relationship between technology and creative production. The capabilities of today’s models represent only the beginning of a much broader transformation.

My work continues to explore this evolving landscape through hands-on experimentation, AI research, prompt engineering, model evaluation, creative leadership, and production innovation.

Having worked through multiple generations of emerging technologies, from AR and VR to today’s multimodal generative systems, I am particularly interested in what becomes possible when human creative direction and artificial intelligence work together.

I see the future of creative production as an increasingly collaborative environment, where new tools, intelligent systems, and human imagination come together to create experiences and possibilities that were previously out of reach.

The technology is evolving. The creative possibilities are just beginning.