AI Workflow for Creative Control: Additive Approach

MOSAIC: AI visual engine for unblocking creativity (made in FLORA) FREE AI workflow to explore visual ideas for brands, trailers, or films. As creatives we need to practice exploration. Exploration is right brained, we play, we discover and we wanna see interesting ideas bubbling up. Mosaic uses low-probability tokens (or at least it tries to prompt them :)) to randomly explore a variety of shots, styles, and moments away from the usual AI clichés and color schemes. Hey I'm Rudy, former VFX and 3D artist now exploring the creative side of AI filmmaking. Link to workflow is in the comments 👇

AI can generate remarkable images, sound and motion, but it cannot stay consistent, stable, or predictable across a sequence. Raksha Wave technology solves this problem by introducing a dedicated layer of creative control that works with any model or engine, allowing studios, directors, animators, VFX supervisors, artists and musicians to steer AI output with clarity and intention. Raksha Wave plugs into existing production pipelines without forcing changes to tools or workflows. It is fully model agnostic and compatible with current generative image and video systems used in AI assisted filmmaking. The underlying control logic acts as a universal AI cinematic control system that can direct the behavior of many different models. TSP sets the standard for professional hybrid content workflows. Raksha Wave gives AI systems what they normally lack: reliability, precision, and directorial control. Raksha Wave is a proprietary creative framework and AI pipeline developed by filmmaker Vladimir Raksha and Raksha World Ltd. It is used for concept development, visual direction, story design, experimental animation, and advanced AI driven cinematic workflows. Raksha Wave is not an AI that guesses. It is DI, Deterministic Intelligence. You decide. It executes. Traditional AI relies on probability and interpretation. Raksha Wave translates intent into a strict structured control language. The same intent always produces the same result. No drift. No improvisation. This is why Raksha Wave can command AI. It removes agency from the control layer and turns generative AI into a reliable execution engine. Human intent remains the source of will. Deterministic intelligence is not artificial thinking, It is intelligent control. This model agnostic approach allows the same Raksha Wave setup to guide different engines without rewriting prompts or templates. At the core of the system is TSP, the Temporal Syntax Prompting language, which describes motion, timing, scene structure, and emotional rhythm in a clear, time based format. TSP was designed as a cinematic language for directing AI and can be adapted to multiple backends and engines. Even on models that do not support native audio, the TSP core can drive convincing lip-sync behaviour by controlling facial articulation, mouth shapes and timing as if sound were present. This is achieved through its own internal timing and behaviour engine, rather than relying on built-in audio features of a given model. https://raksha.world/wave/

I had a great conversation with Kane Boughazian about "what it really feels like to make films with AI" and here’s what director thinks about AI today: Kane has been in CG and animation for 25+ years. He’s seen every wave of change. From 2D vs 3D to now AI. His insights were brutally honest, practical, and exactly what filmmakers need to hear. 1. Here are the most interesting points: - AI feels like the early days of CG - When CG arrived, 2D animators hated it - AI is creating the same tension now 2. Studios are already deep into AI - Agencies/Production studios use AI platforms like (Drawstory) - They rely on AI for previs, pitches, concept art, and experimentation. 3. Storyboarding with AI is still hard for non-human characters - Car ads? Humans? Realistic Commercials can be storyboarded with AI - But fantasy characters, stylized worlds, non-humanoid creatures? - AI still struggles with that 4. But pitch decks? AI is a superpower - Directors visualizes full script using Drawstory - It dramatically upgrades the quality of pitch visuals - Directors increasingly pitch with videos, not static decks 5. What Directors want from AI tools - Consistent character design - Non-generic compositions - More control over angles, expressions, and storytelling beats - A tool that helps directors visualize the entire script Talking with filmmakers like Kane helps us build the best AI storyboarding platform the right way. If you're a director, animator, or filmmaker experimenting with AI - I’d love to have a similar conversation with you too!

On AI, Motion Graphics, and the Grey Areas We Navigate 👾 A month ago, I led a skeleton crew—2 videographers and an editor—through a week-long awarding ceremony. Tight deadlines, limited resources, you already know 👀 During the production process, my early-stage motion graphics interest led me to use AI-generated 3D lettering for our visuals. Did it work? Yes. Did it solve the problem, despite constraints? Absolutely. Am I entirely comfortable with it? No. I'm aware of the ethical concerns surrounding AI—how it learns from the uncredited work of countless artists, and how it devalues the craft I'm still learning to master. Using these tools feels, in many ways, blasphemous to the motion design community I respect deeply. But here's the reality: It allowed us to deliver work that would have been impossible otherwise. When you're understaffed, under-resourced, and under pressure, AI's accessibility becomes a lifeline. But still, actually having an education in the basics of filmmaking and design definitely helped me prompt and work around the usual AI slop and hallucinations. That being said, I'm not here to defend or condemn—I'm here to acknowledge the grey area. The technology exists. It helps. It also harms. We can leverage innovation while still demanding better ethics, attribution, and compensation for the artists whose work trains these systems. I haven't even covered AI's environmental effects yet—which of course, isn't isolated away from discussing AI and ethics. Posting it here on LinkedIN in case anybody else wanted to chime in and share their own takes! 🤓 #ArtificialIntelligence #AI #VideoProduction

AI won’t steal your job—but a cinematographer who uses AI will. That’s getting closer to reality every day. After a deep dive into the latest industry reports, it’s clear that 2025 was a year of fundamental change. We’re seeing a split: one side chasing the raw, textural feel of film, the other embracing AI-driven workflows that are reshaping production. Here are the trends defining what’s next: 1. The Great Divide: Narrative intent is everything The film vs. digital debate is over. The winner is storytelling. Top DPs are choosing tools with surgical precision: • Monumental scale/texture: Lol Crawley shot Brady Corbet’s The Brutalist on Beaumont VistaVision. • Intimate, character-driven stories: a return to 16mm in projects like Blue Sun Palace and The Chronology of Water. • Pragmatic, efficient storytelling: Steven Soderbergh used RED V-RAPTOR X (Black Bag) and the Sony A9 III global shutter (Presence) for a uniquely stable, observational feel. Takeaway: the best DPs are format-agnostic. The real skill is choosing the tool that delivers the emotion. 2. Nikon’s cinema power play: RED integration takes shape Nikon’s RED acquisition is no longer theoretical. The Nikon ZR (first in the Z Cinema Series) signals a serious push—bringing RED color science into a Z-mount ecosystem. • Z-mount V-RAPTOR [X] and Komodo-X • Nikon Z 28–135mm f/4 PZ cinema lens This is an ecosystem strategy—and more competition is great news for filmmakers. 3. The AI production partner: beyond generative video Sora/Runway get headlines, but the immediate revolution is workflow: • Workflow automation: tools like Arting can turn one product photo into dozens of social clips (one case study reports +38% engagement). • Campaign generation: tools like AdMaker can output platform-specific campaigns for Meta/TikTok/YouTube in hours, not days. • Attention-economy editing: streamers are using AI for recaps/highlights because attention is the new battleground. For corporate/industrial work, this means faster iteration, better creative testing, and stronger ROI. For creators, value shifts from execution to creative strategy + oversight. The road ahead: integrate technology so we can focus on lighting, composition, performance, and story. Questions for you: • In 2026, is film vs. digital still relevant? • Would you consider the Nikon/RED ecosystem? • How are you integrating AI into your workflow?

The inevitable rise of AI in Filmmaking: Simply put: AI is a revolution and the portal to a world of new possibilities for Cinema: One of the most realistic, immediate and technically feasible ways AI will reshape filmmaking is in reshaping stylistic characteristics, the palette and final rendu of a film...For example, AI can already get surprisingly close to Golden Age noir aesthetics, and within a few years it will be production-quality. Let’s break it down practically: 1 )The Look of Film Noir Is a Recipe — and AI Can Learn Recipes: Classic noir visual identity consists of very knowable ingredients: Cinematography: • Deep shadows, low-key lighting • Hard sources, sharp falloff • Venetian blind patterns / gobo lighting • High contrast ratios • Narrow depth of field  • 1940s/50s film stocks • Grain structure, highlights, etc. AI models can learn these patterns beautifully. 2 ) Modern digital cameras are not a barrier: RED, Alexa, Venice — all of them actually capture more information than needed to enable AI to emulate old film looks. Digital footage gives you: • Huge dynamic range • Clean shadows • Flexible color spaces, etc. This makes it ideal source material for AI-driven “film aging"... AI can add constraints and artifacts—what it cannot do is recover what isn’t there, so these amazing new digital cameras are not a negative factor to achieving "classic" esthetics... 3 ) What AI can do right now (2025, soon to be 2026...) AI tools today can: • Convert modern color grades into black-and-white with period-accurate contrast • Add authentic grain patterns • Redefine film response curves • Introduce lens simulations • Create lighting illusions • Generate fog/dust atmospherics, etc. 4 ) Where AI still struggles: Artificially reproducing: • The behavior of light through vintage lenses • The micro-contrast of older film stocks • The subtle movement imperfections of analog cameras • Grain that responds dynamically to exposure levels • Changing halation These aren’t trivial because they’re physical phenomena. But deep-learning tools are getting extremely good at simulating photochemical behavior. 5 ) What AI will be able to do in the next 2–5 years This is the realistic part: AI will soon offer: • Scene-to-scene stylization with continuity (a big limitation today is that grain/contrast often vary from shot-to-shot) • Camera-aware styling AI will know how to stylize differently for wide shots vs close-ups... • Lighting reconstruction • Lens fingerprint reconstruction • Old film-stock emulation down to the chemical level will be possible... This will allow a filmmaker to: • Shoot clean modern footage • Feed it into an AI film-noir transformation model • Get an output that looks indistinguishable from a 1949 RKO classic... And crucially this will be at one point controllable and consistent enough for full-length features... 6 ) Conclusion: AI will soon become a standard post-production tool, like a LUT on steroids...

"Prompt to VFX" is here 😮 IC-Effect has just been announced, a research paper from Communication University of China and NUS that demonstrates prompt-based VFX editing at a level I didn't think was possible yet. Add flames, lightning, particle effects, or complex animations to video using text instructions. The system preserves background integrity while injecting professional-grade effects with temporal consistency. Code is not available so I could not check for quality, resolution and prompt adherence. Some example shoots look pretty good, others not so much. For VFX professionals, the writing is on the wall: up-skill fast or become obsolete. The tools are evolving faster than most teams can adopt them. Those who learn to direct AI agents and master prompt-based workflows will dominate the next era of content production. Those who wait will watch their competitive advantage evaporate. We're at an inflection point in visual effects. The barrier to entry is collapsing. The speed of production is accelerating. Brand-safety and quality control in AI-generated content is becoming table stakes. The question isn't whether GenAI will transform your workflow. It's whether you'll lead that transformation or be disrupted by it. What's your up-skilling strategy for 2025? Want to see how we're building GenAI pipelines that transform content production? DM me to learn how your team can stay ahead of the curve.

👉 AI is not here to replace creatives. 🚀 AI is here to amplify creative thinking. As a Senior Graphic Designer & Motion Graphics Animator, I’ve started integrating AI into my daily workflow—from ideation to execution. The result? • Faster iterations • Smarter design decisions • More time for actual creativity The real shift isn’t “AI vs Humans. It’s AI-enabled professionals vs non-adopters. Learning. Adapting. Growing. 🚀 Emeritus #AI #CreativeIndustry #MotionGraphics #DesignThinking #FutureOfWork

𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆; 𝗶𝘁’𝘀 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄. From VFX pre-viz to 3D asset generation to AI-assisted editing and design, the role of the artist is shifting from  𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯 → 𝘥𝘪𝘳𝘦𝘤𝘵𝘪𝘰𝘯 → 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯. Today, it’s not about how fast we work… It’s about 𝗵𝗼𝘄 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲𝗹𝘆 𝘄𝗲 𝘂𝘀𝗲 𝘁𝗵𝗲 𝘁𝗼𝗼𝗹𝘀. 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗯𝗲𝗹𝗼𝗻𝗴𝘀 𝘁𝗼 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲𝘀 𝘄𝗵𝗼 𝗰𝗼𝗺𝗯𝗶𝗻𝗲:  ✨ Artistic vision  ⚙️ Technical craft  🤖 AI fluency Because AI doesn’t reduce the value of creativity, it amplifies it. We’re not competing with AI. We’re collaborating with it to push storytelling, visuals, and imagination further than ever. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝘀𝗸𝗶𝗹𝗹 𝗻𝗼𝘄: 𝗸𝗻𝗼𝘄𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝘁𝗼 𝗮𝘀𝗸 𝗔𝗜, 𝗮𝗻𝗱 𝗸𝗻𝗼𝘄𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝗼𝗻𝗹𝘆 𝗮 𝗵𝘂𝗺𝗮𝗻 𝗰𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗲. #AIinCreativity #VFX #3DArtist #VideoEditing #GraphicDesign #FutureOfWork #DigitalArt #AICreativeTools