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Thinking on engineering context, technical knowledge management, and AI-assisted workflows.
Why Engineering Context Breaks
Results live in one tool. Parameters live in another. Decisions live in chats, notebooks, and slide decks. Over time, the connective tissue between them gets buried.
AI Needs Connected Context, Not More Data
Models work better when the surrounding technical context is connected, traceable, and grounded in real project history. Here's why raw data isn't enough.
From Fragmented Artifacts to Traceable Engineering
How teams can turn scattered simulation runs, test reports, and review threads into a connected context layer that survives handoffs and project shifts.
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We're writing about engineering context, AI workflows, and what it takes to make technical work traceable. Posts are coming soon.
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