August 25, 2026
Design systems
Tokens, components and the documentation that makes them get used. Systems thinking is what the job becomes past junior level.
ReadLevel: Advanced
August 25, 2026
Redesigning a workflow around human + AI
The practical core of this path: taking one real process apart and deciding, step by step, what a machine should do and what a person must.
ReadAugust 25, 2026
Leading teams that use AI
Skills development, review standards and the quiet questions people are afraid to ask you out loud.
ReadAugust 25, 2026
Strategy, risk and governance
Turning a set of pilots into a position — and surviving the conversation with legal, security and the board.
ReadAugust 25, 2026
Warehouses and pipelines
Where analytics data lives once more than one person depends on it — modelling, transformation and tests that run on a schedule.
ReadAugust 25, 2026
Observability and reliability
Metrics, logs and traces — and the operational discipline that decides what to do when they turn red.
ReadAugust 25, 2026
Experimentation
Deciding whether the thing worked. Most disagreements about AI features are really disagreements about measurement.
ReadAugust 25, 2026
Evaluation and measuring outcomes
The discipline that decides whether an AI product improves: a repeatable evaluation set, owned by the product team rather than the model provider.
ReadAugust 25, 2026
Transformers and LLMs
The architecture behind everything current — read the paper, then build with it.
ReadAugust 25, 2026
RAG, evaluation and guardrails
Retrieval, embeddings, and the part almost everyone skips: proving the thing works.
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