Blog
Notes on filmmaking and AI production.
Tools, workflows, rights, and creative control.
GenAI Creative Technology Signals: September 18, 2026
This week, advertising became conversational, voice models gained stronger production benchmarks, Adobe extended its contributor-payment cycle as Stock video entered Firefly training, and broadcasters backed a vendor-agnostic agent framework for live production. The shared signal is that AI is moving closer to commercial decisions—so teams need to define whose facts, rights and authority travel with it.
Read postAdrenaline Junkies Changes What an ‘Unproduceable’ Commercial Means
OneDay revived a 30-year-old advertising script as an 85-shot AI film without treating craft, performers or post-production as optional. The case is useful because it shifts the greenlight question from ‘can we shoot this?’ to ‘can we control, clear and finish it?’
Read postAI Video Exposure Needs Anchors, Not Mood Words
A prompt can ask for low-key, moody or chiaroscuro lighting and still let exposure wander between frames and across coverage. Cinematographers need an exposure card that fixes the subject, highlight ceiling, shadow floor and practical-light behaviour before a generated clip is approved.
Read postAI Image Editing Needs a Reference Lock
ChatGPT Images 2.5 can preserve a subject, composition and brand treatment through more edits. That is useful, but commercial teams still need to define what must not change, measure every accepted delta and retain the source, rights and provenance record outside the conversation.
Read postGenAI Creative Technology Signals: September 11, 2026
This week, generation moved into the edit timeline, agents gained a managed runtime, an agentic CTV campaign produced its first reported operating results, and licensed AI music gained a route into distribution. The common signal is that creative AI is becoming executable infrastructure—and every shortcut now needs an owner, limit and receipt.
Read postAdobe’s Times Square AI Takeover Was a Delivery-System Test
Adobe’s Firefly takeover put 392 images and videos across 38 Times Square screens in 30 aspect ratios, while a live activation sent audience-made work onto street-level displays. The useful lesson is not that AI can make more pictures. It is that generation only becomes commercial production when versioning, approval, provenance and playback are designed as one system.
Read postAI Video Camera Angles Need More Than High or Low
A high-angle prompt can still produce the wrong shot if the camera height, pitch, horizon, eyeline and verticals are left for the model to invent. Cinematographers need an angle card that describes the viewpoint as visible geometry—and a review method that keeps it coherent through movement and across the cut.
Read postAI Video Can Deliver ACEScg EXR. Is Your Pipeline Ready?
Runway can now deliver generated and converted HDR video as ACEScg OpenEXR sequences. That makes AI footage easier to place inside a professional VFX pipeline—but only if production defines the colour config, viewing transform, provenance record and approval test before the first sequence arrives.
Read postHailuo H3 Max and Infinite Slop: What Happens When Video Never Ends?
When AI can generate the next scene faster than an audience can watch the current one, video becomes something we can influence while it plays. Pieter Levels’ Infinite Slop offers an early glimpse of that shift. The interesting question is what happens to attention, authorship and shared culture when the programme no longer needs to end.
Read postGenAI Creative Technology Signals: September 4, 2026
This week, AI image generation entered the shared document, creative tools entered the team conversation, expert corrections became reusable agent knowledge, and video platforms began turning audience insight into action. The common signal is that creative AI is becoming workflow infrastructure—and now needs production-grade boundaries.
Read postXero’s 600-Asset AI Campaign Turns Localisation Into Production
Xero and Argonaut say they produced more than 600 campaign assets for eight markets in eight weeks, using AI to vary performers, accents, shopfronts and product detail. The meaningful change is not the headline volume. It is the shift from adapting one global commercial to operating a controlled localisation system.
Read postAI Video Shot Size Is Not a Lens Choice
A medium shot can feel intimate, neutral or surveillant depending on where the camera seems to stand and how space falls away behind the subject. AI video tools increasingly expose shot-size and angle controls, but cinematographers still need a separate lens-perspective workflow to keep faces, backgrounds and camera moves coherent across the cut.
Read postYour AI Video Workflow Needs a Model Exit Plan
OpenAI is closing the Sora API on September 24, while Runway is retiring tools, rotating models and changing how heavy use is priced. For brands, agencies and studios, model churn is now a production-continuity risk. The answer is a portable shot system that can survive the vendor you chose for the pitch.
Read postGenAI Creative Technology Signals: August 28, 2026
This week, generative AI moved from impressive output towards accountable infrastructure: music charts drew a line around human authorship, voice agents became versioned production systems, design-tool access moved under enterprise identity, and a synthetic influence campaign showed why polished authority needs source checks.
Read postTV Asahi’s Full-AI Commercial Is Really a Layered Delivery
TV Asahi put a 30-second GREEN DA・KA・RA commercial with an entirely generated picture layer into a normal national broadcast slot. The important production decision was not simply to use AI. It was to keep text, sound and narration outside that generated layer—and to make those boundaries explicit enough to deliver.
Read postAI Video Needs a Motion Cadence, Not Just a Camera Move
A tracking shot can follow the right path and still feel wrong. The missing direction is often temporal: how movement accelerates, how blur joins one frame to the next, where the action peaks and when the image becomes readable again. Cinematographers need to design and review that cadence before choosing a generated take.
Read postYour AI Ad Needs a Disclosure Gate, Not a Disclaimer
IAB’s new disclosure framework makes the operational problem clear: brands cannot solve AI transparency by adding a label at export. They need a repeatable gate that follows each synthetic element from brief and consent through platform delivery, with one named owner accountable for the decision.
Read postGenAI Creative Technology Signals: August 21, 2026
This week, AI media moved deeper into the operating system around creative work: Hollywood and ByteDance agreed a guardrail framework, advertisers received a sharper disclosure test, OpenAI tightened environments where models can use tools, and Anthropic published evidence that acceleration still depends on human taste and physical execution.
Read postSupergirl’s AI Dispute Is a Production-Record Failure
A private behind-the-scenes video, a few disputed Lobo images and no definitive studio explanation turned a pre-production question into an audience-trust problem. The lesson is not that a blurry frame can prove AI use. It is that studios now need a production record capable of answering the question.
Read postStop Prompting the Camera Move. Shoot a Motion Reference
A tracking-shot prompt names a category, not a camera path. Motion-reference tools let cinematographers start with a performed move, but the source clip still needs deliberate blocking, parallax, pace and composition—and the generated result still needs frame-by-frame review.
Read post5 Film Books That Still Matter to the Modern Filmmaker
The cameras have changed, crews have compressed and distribution now stretches from cinema screens to vertical feeds. These five books still matter because they teach the decisions beneath the technology: how to design a shot, shape light, preserve screen logic, create rhythm and turn production constraints into a visual language.
Read postClaude’s Watermark Changes the Copy Handoff
Anthropic says new Claude models will mark generated text everywhere they are offered, and that proofreading, translation or formatting can still leave a detectable signal. For brands and agencies, the answer is not to hide the mark. It is to make authorship, AI processing, human review and publication responsibility explicit before copy leaves the workflow.
Read postWebsite OS: The AI Landing Page Builder That Starts With the Brief
Website OS gives Codex or Claude Code a complete route from rough business context to a responsive landing page you can own. It is not another template or one-shot website prompt: it is a £29 guided system for deciding the message, designing the page, building the code and checking the result.
Read postGenAI Creative Technology Signals: August 14, 2026
This week, the leverage is moving away from generation alone: European publishers are measuring a worsening scrape-to-referral bargain, Perplexity has rejected ads written for agents, music models are becoming more editable, and enterprise media teams are reporting dramatic savings that still need independent baselines.
Read postGods Don’t Give Gifts Turns AI Film Into a Ticket Test
Zack London spent three years building a science-fiction audience through short-form work before Fable put his anthology feature on a path to US cinemas. The important experiment is no longer whether generative images can fill a screen. It is whether internet-native IP can convert free views into paid attendance, survive theatrical finishing and produce a commercial result that means more than an AI demo.
Read postAI Video Focus Pulls Need a Focus Choreography
A rack-focus prompt can produce a convincing blur transition, but cinematographers need more than the name of the technique. Define the two subject planes, the story cue, the transfer timing, the focus roll-off and the frame details that must remain stable, then review the result as moving optics rather than a polished still.
Read postWhy AI Agents Need Reddit but Cannot Trust It Blindly
People add “Reddit” to a search because conventional results often explain what a product promises, while comments reveal what happened after somebody bought it, installed it, returned it or lived with it for a year. AI agents need that human evidence too, but only if they can retrieve it, preserve disagreement and verify the claims that matter.
Read postAI Video Needs a Scene System, Not a Better Prompt
Autodesk Flow Studio's new 3D Editor + Canvas workflow points to a more useful future for AI video: direct the performance, camera, timing and environment as separate production elements, then use generative models to render the approved scene. For buyers, control—not novelty—is becoming the real specification.
Read postGenAI Creative Technology Signals: August 7, 2026
This week, the useful signals sit around the generated asset: AI discovery is getting a measurement standard, transparency duties are becoming live production requirements, conversational video editing is reaching work accounts, entertainment IP is turning into participatory template systems, and publishing still lacks enough technical scrutiny.
Read postAstana's $1M AI Film Festival Makes the Workflow Part of the Entry
The Astana AI Film Festival is offering a $1 million prize pool, but its more consequential move is contractual: every entrant must disclose the models and production pipeline behind the film, clear a wide rights surface, and stand behind that record if the work wins.
Read postQueensberry x DAZN: A 5-Day Commercial Sprint
A 30-second boxing commercial moved from an open brief to international DAZN broadcast in under five days. The useful part of the story is not speed on its own, but how a compressed AI-assisted workflow still protected tone, edit discipline and broadcast finish.
Read postAI Documentary Disclosure Workflow for Producers
AI can help documentary teams rebuild impossible moments, clean up archive gaps and test visual language. The commercial problem is disclosure: producers need a practical record of what was generated, what was reconstructed, what was licensed and what the audience is being asked to believe.
Read postSynthetic Performer Continuity Is a Rights Workflow
AI characters and digital replicas do not only create an image problem. They create a continuity, consent and control problem that has to be managed like casting, performance, VFX, legal and archive at the same time.
Read postAI Video Prompt Shot Language for Cinematographers
AI video improves when prompts stop describing style and start describing shots. Cinematographers need a repeatable language for framing, blocking, lens intent, camera movement, light, continuity and review.
Read postChatGPT and Claude Website Workflow for Founders
Founders can use ChatGPT, Codex and Claude Code to build real websites, but the winning workflow is not one magic prompt. It is a sequence: positioning, proof, page map, source files, local review, SEO metadata, analytics and controlled deployment.
Read postChoose the Control Before You Prompt AI Video
Text, a start frame, two keyframes, reference ingredients, and source video do different cinematography jobs. The fastest route to a usable shot is to decide what must survive first, then choose the control that can actually preserve it.
Read postThe AI Act Is Live. Ask AI Suppliers for the Evidence Pack.
The EU's Article 50 transparency rules now apply. For brands and studios buying AI-assisted work, a supplier saying it uses compliant tools is no longer enough: the delivery needs to show who carried each duty, what the final asset represents, how it was marked or disclosed, and what evidence survives publication.
Read postGenAI Creative Technology Signals: July 31, 2026
This week's signals show generative AI leaving the isolated creation tool and entering the systems around the work: recurring agents, advertising intelligence, document review, brand production and television craft.
Read postNetflix’s 17 AI-Enhanced Minutes Need a Better Evidence Trail
Netflix says The American Experiment used 17 minutes of AI-enhanced footage, delivered twice as fast and at half the cost of previous options. The production achievement is real. So is the documentary problem: viewers need to know which images are records, reenactments, or synthetic constructions.
Read postAI Video Blocking Needs a Continuity Map
A generated character can look consistent while the scene around them quietly stops making spatial sense. Before prompting coverage, cinematographers need to map positions, eyelines, entrances, exits, props, and the axis the edit must preserve.
Read postAI Video Costs Are Collapsing. Measure the Finished Asset.
Runway's new enterprise study reports extraordinary reductions in production cost and time. Buyers should take the signal seriously without treating generation spend as the whole business case: the unit that matters is an approved, rights-cleared asset that performs.
Read postHow to Use Founder Launch OS: From Download to Launch
A practical walkthrough for opening Founder Launch OS in Codex or Claude Code, completing the guided onboarding and turning one business idea into usable launch assets.
Read postHow to Use Claude Code to Help Launch a Startup
Claude Code can do more than write software, but only when the business context, decisions and deliverables are organised around a real launch sequence.
Read postCan ChatGPT Build a Business Website?
ChatGPT, Codex and Claude Code can help build a real business website. The hard part is turning the founder's offer, proof, SEO, analytics and publishing path into a controlled system.
Read postClaude Code for Non-Technical Founders: A Plain-English Guide
You do not need to become a developer, but you do need a safe way to describe outcomes, review decisions and know when an AI agent is asking for meaningful permission.
Read postHow to Build a Startup Landing Page with Claude Code
The code is rarely the hardest part. A strong landing page connects one customer problem to one offer, supplies enough evidence to act and survives the practical journey from local preview to production.
Read postThe Best AI Workflow for Solo Founders Is Not One Giant Prompt
A solo founder needs continuity more than novelty: one business memory, a sensible build order, visible approvals and outputs that remain editable outside the conversation.
Read postHow to Reduce Claude Code and Codex Token Waste
The useful goal is not to starve an agent of context. It is to stop paying repeatedly for duplicated briefs, broad searches, premature builds and corrections that a stable project structure could have prevented.
Read postWhat Pages and Files Does a Business Website Actually Need?
A homepage is not a complete website. Founders also need the structural, legal, social and technical details that make the site understandable, publishable and maintainable.
Read postHow to Use AI for a Brand Identity and Visual Campaign
AI can generate a logo or attractive image quickly. The valuable work is building a coherent system in which positioning, editable identity assets and campaign images all express the same business idea.
Read postFounder Launch OS: A Senior Launch Team Inside One Folder
Most AI business tools give a founder more prompts, more templates and more decisions to make. Founder Launch OS takes the opposite approach: it gives Codex or Claude a structured way to learn one business, recommend a direction and build the launch with you.
Read postGPT-5.6, Codex and Voice for Creative Teams
How creative teams can use GPT-5.6, Codex and ChatGPT Voice for research, briefs, production documents, design review and agentic execution without losing human judgment.
Read postGenAI Creative Technology Signals: July 24, 2026
This week's useful signals are not about a new model winning a demo. They show generative AI entering the accountable parts of production: connected-TV delivery, ad-platform declarations, editorial rules and the security perimeter around autonomous agents.
Read postR/GA's Forever Founder Makes the AI Avatar a Governed Brand System
R/GA's live Bob Greenberg avatar did more than reproduce a founder's face and voice. It turned company history into an improvising brand interface, moving the production job from finishing one film to governing every answer the system may give next.
Read postAI Video Lighting Prompts: Build a Lighting Plan First
Cinematic lighting is not a useful prompt by itself. A stronger AI video lighting workflow names source, direction, quality, colour, exposure and continuity before generation.
Read postThe EU AI Act Turns AI Labelling Into a Production Workflow
The EU's Article 50 transparency rules apply from 2 August 2026. For creative teams, the practical job is not to stamp every AI-assisted asset. It is to classify the work, preserve provenance, make the right disclosure visible, and prove the final derivative passed review.
Read postGenAI Signals: Netflix AI Footage, Gemini in Vids and AI Agents
A practical July 2026 signal report on Netflix AI footage, Google Vids, modular AI agents, GPT-Red security testing and conversational media discovery.
Read postDollar Shave Club's AI Ad Changes the In-House Production Model
Dollar Shave Club's July campaign is a useful production case because the tools are not the headline. A brand leader wrote the brief, a small internal team reached a first cut in days, and the decision to hire an agency moved from default workflow to a question of specialist craft.
Read postAI Video Lens Prompts Need More Than a Focal Length
A 35 mm prompt can suggest a look, but it cannot prove field of view, camera distance, focus fall-off, or perspective. The useful workflow turns lens choice into visible relationships and reviews them before the model moves.
Read postAI Video Workflows Need an Exit Plan
Sora is closing, Veo endpoints are turning over, and Runway Dev is selling one-line model swaps. The buyer lesson is bigger than API convenience: prompts, references, shot intent, approvals, and test cases have to survive the provider.
Read postGenAI Product Launches: AI Ad Disclosure, GPT-5.6 and Gemini Omni
A July 2026 creative technology briefing on Google AI ad disclosure, GPT-5.6 agents, GPT-Live voice, Gemini Omni video APIs and Runway marketing workflows.
Read postTilly Norwood Turns the AI Actor Debate Into a Production Problem
Particle6's plan to build Misaligned around Tilly Norwood matters less because a synthetic performer has been given a feature. It matters because the case forces producers to treat AI characters as rights, labor, disclosure, continuity, and audience-development objects from the first brief.
Read postAI Camera Motion Reference for Video Prompts
AI camera motion reference works best as a cinematography rehearsal. Define blocking, choose the move, test the failure and use the reference to control video prompts.
Read postAI Provenance Workflow for Creative Teams
Creative teams need an AI provenance workflow that records prompts, references, model use, rights notes, human edits, client approval and final delivery evidence.
Read postThe Calling: La Santa Furia and the Image Canvas as a Pilot Machine
The useful lesson from our micro-drama pilot is not that AI replaces production. It is that an in-house image canvas, wired into Seedance 2.0, can turn a story world into a testable pilot, poster, cutdown, and launch system before a team commits to a full live-action route.
Read postThe AI Production Workflow Stack for Small Film Teams
AI video only becomes useful when it sits inside a production system: script intent, references, shot logic, rights notes, review loops, exports, and analytics. The model is one engine. The workflow is the product.
Read postCommercially Safe AI Video Is a Production Standard, Not a Badge
Clients do not only need AI video that looks good. They need usage rights, review trails, brand safety, provenance, disclosure, and a workflow that can survive legal, platform, and stakeholder scrutiny.
Read postSynthetic Character Continuity Is a Production Problem
AI video models are getting better at keeping people and worlds consistent, but character continuity is not only a face-matching problem. It is a production discipline: design, wardrobe, blocking, performance, edit logic, and approval.
Read postAI Video Prompting Works Better When You Use Shot Language
The strongest AI video prompts do not pile up camera brands and style words. They describe point of view, blocking, light, lens behaviour, movement, emotional distance, and the job the shot has to do in the edit.
Read postAI Previsualization for Cinematographers: The Useful Version
AI previsualization is useful when it helps a cinematographer test story logic, light, blocking, location pressure, and impossible shots before a production commits. It is dangerous when it pretends a generated clip is the production plan.
Read postWhy AI Film Festivals Are Becoming Workflow Festivals
AI film festivals are not just screening prompt-made shorts anymore. They are becoming public tests of workflow: continuity, disclosure, tool literacy, production control, and whether a generated image can survive as part of a finished piece of cinema.
Read postAI Video Tools for Cinematographers: What Helps and What Gets in the Way
AI video tools are becoming useful, but not in the lazy way the marketing often implies. For cinematographers, the value is in reference building, look development, coverage thinking, impossible pitch material, and workflow acceleration. The danger is mistaking output for judgement.
Read postAI Filmmaking Still Has a Set Problem
This week's AI film news makes the same point from three directions: Tribeca put a fully AI-generated feature in front of an audience, Runway turned AI film into a festival circuit, and iQIYI is selling AI as production infrastructure. The gap is no longer whether AI can make shots. It is whether it understands what a set is for.
Read postThe New AI Question Is Control, Not Whether It Was Used
The weekend's filmmaking, advertising, and commercial AI news all pointed in the same direction: the useful argument is no longer whether AI touched the work. It is who controlled the tool, who signs off the craft, what gets disclosed, and whether the result actually holds up in public.
Read postScorsese, AI Storyboards, and the Difference Between a Tool and an Author
I keep coming back to the same uncomfortable line: Martin Scorsese using FLUX to visualise storyboards is a tool story, but the reaction to it is a labour story. When the people who define cinema normalise AI, the pressure is felt first by the people with the least control over the budget.
Read postThe Camera Is Not the Campaign
A personal note on moving from being hired as a cinematographer for one part of the job to building Vertical Haus, where the responsibility includes the offer, the spend, the edits, the landing page, the data, and all the unglamorous work that actually makes an online campaign succeed.
Read postAmazon Just Made AI Animation Impossible to Ignore
Prime Video's first GenAI animation slate is not just a tech story. It is a rights story, a labour story, a taste story, and a very public trust test for everyone selling AI as creative infrastructure.
Read postGareth Edwards Is Right: AI Belongs in the Filmmaking Toolkit
The interesting AI film argument is not whether a model can make a shot. It is how directors, cinematographers, studios, cinemas, and online entertainment platforms use it to expand what can be imagined, tested, built, and experienced.
Read postCannes Became the AI Film Industry Stress Test
The 2026 Cannes conversation was not really about whether AI can make images. It was about authorship, rights, workflow, taste, and who gets to stay in the room.
Read postCreativity After the Call Sheet Goes Quiet
A long note on being creative for a living, what happens when the paid work dries up, and why the healthiest creative outlet might be the one nobody commissioned.
Read postBuilding a Personal Site That Behaves Like the Work
A note on the new mikestaniforth.com: cinematic scroll, signal-distorted portraits, AI systems proof, light and dark modes, and the small details that make a portfolio feel authored.
Read postThe Eye-Catching Announcements at Google I/O 2026
I/O 2026 looked less like a product event and more like Google moving Gemini into every surface it owns, from Chrome to cars to glasses.
Read postWhat I Built at Vertical Haus and Why This Site Exists
A launch note on moving from cinematography into AI-first production systems, the Vertical Haus stack, and the new personal website connecting both sides of the work.
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