Alain Tural · Founder of Pixedi · United Kingdom
Alain Tural builds applied AI systems that have to hold up in production.
A UK-based technology founder, working across applied artificial intelligence, automation infrastructure, digital products and 3D product experiences. The work starts where AI leaves the prototype: systems that carry real customers, real deadlines and a cost attached to being wrong. Alongside that, he publishes the architecture decisions, the measurements and the failure cases from systems running in production.
The work
Building AI systems is easy. Making them accountable is harder.
A system reporting success does not mean the job was done. A publishing pipeline can report a month of content as delivered when nothing went live. A rendering process can exit cleanly without producing a usable file. An autonomous coding system can mark a task complete without creating the change it was asked for.
These are not unusual edge cases. They are production problems, and they appear the moment automation removes the person who would otherwise have noticed by accident.
The work is therefore the infrastructure around the model rather than the model itself: verification, observability, completion evidence, recovery. The objective is not maximum autonomy. It is output that can be trusted without being watched.
Writing
Notes from production.
Technical notes, experiments and post-mortems from systems operating under real production constraints.
position: fixed Stopped Working Because a Parent Had an Entry Animation
A decorative slide-up animation left an identity transform on an ancestor, which made it the containing block for everything fixed inside it.
Approval Is Not Publication
Thirty seven items in the queue, one approved, nothing published. The last arrow in the diagram is the only one that pays.
Neural Rendering Is Crossing From Reconstruction Into Synthesis
Reconstruction filled in what sparse sampling missed. DLSS 5 generates appearance the renderer never computed.
The Renderer Is Becoming a Training Data Engine
The renderer used to sit at the end of the pipeline. Physical AI gives the same scene a second job: teaching a model.
One add_header in a location Block Deleted Every Security Header on That Page
Inheritance applies only if the current level has no add_header at all, so a single cache directive removed four security headers.
Local AI Is Becoming a Compute Fabric
Local AI meant one model on one machine. Routing inference across the devices already on a network changes the unit.
Agent Infrastructure Is Becoming a Product Category
Every team used to build the loop, the store, the sandbox. That layer is being sold rather than written.
Choosing a local model with a stopwatch, not a benchmark
Three models, five hard tasks, code actually executed. The official build was 2.4 times faster and more accurate than a community repack of the same model.
We measured real time lighting against baked light, and baked won
A 3D product simulation that had to look like an offline render. The real time version ran at 60 frames per second and looked like clay. Here is the measurement and the architecture that replaced it.
What actually broke in an agency run by agents
Three failures from a delivery stack that runs on AI. None of them were the model's fault, and all three reported success while producing nothing.
A Task Without A Check Command Is Not Automated
If a task has no command that can fail, the pipeline advances on the appearance of work.
A Gate The Model Writes Is A Gate The Model Loosens
Three quality gates returned green while the work behind them was wrong, each for a different reason.
Two Python Servers Listened on the Same Port on Windows and the Requests Split Between Them
SO_REUSEADDR is on by default in http.server, and on Windows that lets a second process bind a port that is already being listened on.
The Scoring Model Was Wrong And It Put The Worst Lead First
A weighted sum let one axis substitute for the other, so a company with money and no problem ranked in the top twenty.
Library cublas64_12.dll Is Not Found: faster-whisper Loads, Then Dies on the First Transcribe
The model loads cleanly and fails at the first encode, because CTranslate2 wants CUDA 12 while the PyTorch build is on 13.
Building Software Got Easy. Getting Value Out Of It Did Not
Aristo took weeks to build. Everything after the build is still in progress, and that gap is the whole story.
Capability Is Becoming an Operational Risk Surface
Safety questions used to be about the text. Once a model can act, the capability itself becomes something to operate.
font: 600 14px/1 inherit Is Invalid, and Your Button Quietly Becomes 13.3px Arial
The declaration is dropped whole, and form controls fall back to the browser default because they never inherited the page font.
The Scene Graph Is Becoming an API for AI
A scene graph exists for artists and software. Agents are becoming another consumer, and they need structure rather than pixels.
Animation Is Moving From Clips to Motion Priors
Authored keyframes and blended clips are giving way to asking which constraints define acceptable motion.
Materials Are Becoming Learned Programs
A material is texture maps, parameters and shader code. It is starting to become a small learned program that answers a rendering question.
Procedural Systems Are Expanding Beyond Geometry
Geometry Nodes started with a narrow name. Blender 5.2 puts physics, sound and object data through the same graph.
The Unit of AI Work Is Becoming the Task, Not the Turn
Chat taught us to think one turn at a time. Long-running agents make the task the thing that is scheduled, resumed and reviewed.
Game Engines Are Becoming Operating Systems for Worlds
Engines have been judged on what they render and simulate. The Unreal 6 roadmap points at operating a world rather than drawing one.
The Model Is Becoming a Replaceable Backend
Choosing a provider used to mean choosing an architecture. A stable interface makes replacement possible and evaluation makes it safe.
The Harness Is Part of the Capability
The same model behaves differently depending on context policy, tool design and execution feedback. That surrounding software is not neutral.
Physics Engines Are Becoming Trainable Components
A simulator predicts what happens next. A differentiable one can answer which parameter should change to stop the failure.
The Agent Needs an Environment, Not Just Tools
A search function and a database query were enough for short loops. Longer work needs a place to stand.
Coding Agents Are Becoming General-Purpose Computer Workers
Repositories were a friendly environment: text in, terminal actions, checkable results. That was a starting point, not a boundary.
Open Standards Outlive Model Generations
A year after the MCP bet, the argument can be checked against what happened rather than what was hoped.
Colour Management Is a Pipeline Contract
Blender 5.0 reads as better display options. Giving a file an explicit working colour space is an architectural change.
The Best Model May Be a Router, Not a Model
GPT-5 moves model selection inside the system. The interesting unit stops being which model and becomes which compute policy.
World Models Are Not Game Engines Yet
Genie 3 generates a navigable 720p world at 24 fps. Production work needs state you can inspect when something goes wrong.
Memory Is Becoming a System Capability
A follow-up to the long-context argument. Storing, selecting and expiring facts is turning into a named part of the product.
Coding Agents Change the Unit of Software Work
AI coding tools have been judged where code appears on screen. The boundary moves when the agent owns a task instead of a snippet.
Agents Need Protocols Between Each Other, Not Just Tools
Tool calling solves the inside of the loop. It says nothing about one agent reaching another built by a different team on another platform.
Agents Need a Runtime, Not a Prompt Loop
An agent is no longer well described as a prompt inside a while loop. The useful abstraction owns execution around the model.
Reasoning Is Not the Only Path to Better Models
Longer thinking improves maths and code. A model that solves a logic puzzle and misreads ordinary intent is not the better production model.
Rendering Is Becoming a Reconstruction Stack
Sparse samples, motion data and lower-resolution frames become a larger final result. Debugging becomes layered when reconstruction sits in the middle.
Agent Reliability Is an Evaluation Problem, Not a Prompting Problem
When an agent misses a step, the usual fix is a stricter prompt. The failure is more often in how completion is detected.
MCP Might Matter More Than Another Model Release
A model can reason well and still be useless inside a company if it cannot reach the files, repositories and tools where work lives.
Computer Use Is the Missing Layer Between Models and Software
Most integrations assume useful software exposes the right API. Much of real software never did.
Inference-Time Compute Is a New Scaling Axis
o1 improves when it is allowed to spend longer on a problem. A benchmark score without a compute budget is an incomplete number.
The Final Pixel Won't Come From the Renderer
Geometry, camera and scene structure stay reliable ground truth. More of final appearance is moving into learned systems.
Open Models Are Becoming Research Infrastructure
Llama 3.1 gets discussed as a benchmark result. The licence terms change which experiments are possible at all.
The Model Is Becoming a Runtime
Function calling, code execution and structured output turn inference into a loop. The model stops being a text generator and starts being a control layer.
Multimodality Changes the Architecture, Not Just the Interface
GPT-4o is easy to read as a faster interface. Training one model end to end across text, vision and audio is an architectural change.
Benchmark Scores Are Not Model Capability
Claude 3 posts 86.8% on MMLU and 50.4% on GPQA Diamond. The chart is useful and it is not the same thing as capability.
Long Context Is Not Memory
Gemini 1.5 makes a million tokens usable. A larger working set is not a system that decides what should survive the session.
Contact
Get in touch.
A project, a question, or a request for comment. Journalists on a deadline: say so in the subject and it jumps the queue. Or you can directly send mail here hello@alaintural.com