Problem first
Start with an operational need, not a technology looking for somewhere to land.
AI × ENERGY × ENGINEERING
Practical AI for
real industrial problems.
I build, test and benchmark AI against genuine engineering and operational challenges—not what a slide deck says it might do.
OPERATING PRINCIPLE01—04
BUILD → TEST → SHOWOpen methods. Working outputs.
ABERDEEN / SCOTLAND CURRENTLY BUILDING
THE POSITION
“The useful question isn’t what AI could do. It’s what happens when we give it a real industrial problem and inspect the result.”
Make it inspectable
Show the prompt, source material, output and limitations—not just the polished conclusion.
Build the thing
Working applications reveal more than demonstrations, diagrams or claims ever can.
CURRENT BENCHMARK / HSG253
Nine models.
One industrial challenge.
Each model received the same source document and base challenge: turn HSG253—an 88-page safe-isolation guidance document—into useful digital training. These are first-pass outputs, with no manual fixes.
01
OpenAI
Launch application ↗ 02Claude
Launch application ↗ 03Gemini
Launch application ↗ 04DeepSeek
Launch application ↗ 05Qwen
Launch application ↗ 06Mistral
Launch application ↗ 07GLM
Launch application ↗ 08Perplexity
Launch application ↗ 09Kimi
Launch application ↗WHY HSG253?
It is complex, consequential and recognisable to industry. The test is not whether a model can summarise it. The test is whether it can turn technical guidance into something people can understand and use.
GLEN'S TOOLBOX
Work from the field.
Applied ideas spanning production performance, decision quality, operational learning and industrial AI.
Production performance systems
Making potential, constraints, losses and opportunities visible—and owned.
Operational decision tools
Turning complex well and production choices into transparent, repeatable decisions.
Industrial data and agents
Connecting AI to the context held in production data, engineering systems and operating history.
Technical learning
Exploring better ways to help people navigate standards, guidance and operational knowledge.
ABOUT
Operator's context.
Builder's mindset.
I’m Glen Milne, a production and operational excellence leader with more than 20 years in the energy industry.
My background spans production optimisation, asset management, hydrocarbon accounting, emissions, operational excellence and digital transformation. That experience shapes how I approach AI: grounded in the work, alert to the risk, and focused on measurable usefulness.
I use this site to publish experiments, benchmarks and working tools openly. It is an evidence base—not a sales brochure.
Connect on LinkedIn ↗20+YEARS IN ENERGY
09MODELS IN CURRENT TEST
01RULE: SHOW THE WORK