The MechAI log
Notes from the seam between physics and machine learning.
Working notes on forecastability, predictive maintenance, digital twins, and shipping AI into industrial environments — plus a few interactive decision wizards below.
- Jun 14, 2026
arch-crew: a plugin for deciding (and auditing) architecture
Three Claude Code skills that help you pick — or assess — software architecture, design patterns, and agentic systems, recommending the least architecture that meets the requirement. They grew out of three interactive decision wizards you can click through here.4 min read#Architecture#Claude#Interactive - May 28, 2026
Is It Even Forecastable? Triage Before You Model
Most forecasting projects start with model selection. They should start with a cheaper question — does this series contain exploitable structure at the horizon you care about?2 min read#Forecastability#TimeSeries#OpenSource - May 12, 2026
A Digital Twin Is Not a Fancy Dashboard
In manufacturing, most 'digital twins' are real-time monitoring dressed up with 3D visuals. A real twin answers a different question: what happens before you change anything?2 min read#DigitalTwins#PredictiveMaintenance#Manufacturing - Apr 15, 2026
Remaining Useful Life: The Model Is the Easy Part
RUL estimation for industrial assets looks like a regression problem. The hard parts are the label, the cost of being wrong, and whether an operator will trust the number.2 min read#PredictiveMaintenance#RUL#Reliability - Mar 2, 2026
From Heat Sinks to Backprop: An Engineer's Path into AI
The transition from mechanical engineering to AI isn't a pivot away from physics — it's physics gaining a new instrument.1 min read#Career#Engineering#Reflection
Interactive decision wizards
Click through a decision tree yourself — or, if you're less sure, install the arch-crew skill and let it interview you.
Software Architecture Patterns
Click through the selection tree — structure, topology, the data-platform taxonomy, overlays — to the least architecture that meets your requirement.#architecture#interactiveOpen wizard ↗Agentic System Patterns
Design or audit an LLM-agent system layer by layer: autonomy, reasoning loop, topology, memory, reliability, integration.#agents#interactiveOpen wizard ↗Design Patterns (GoF / Pythonic)
Which-pattern interview to a single recommendation — with a disambiguation step and its idiomatic, modern-Python form.#patterns#interactiveOpen wizard ↗