Writing
Notes from the production layer. page 3
Technical notes, experiments and post-mortems from applied AI, automation and digital product systems. Each one starts with the same question: what actually happened when the system had to produce an outcome?
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.