PlaybookHow to choose an industrial AI partner
Compare industrial AI partners by workflow expertise, integration design, evaluation evidence, human control, and support. Use a practical buyer checklist.
Engineering perspectives for practical choices.
Practical essays, technical opinions, and operating-model lessons from the people building production systems.
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PlaybookRAG, fine-tuning, or workflow automation?
Choose RAG for source-backed knowledge, fine-tuning for evaluated behavior changes, and workflow engineering for authorized actions across existing systems.
PlaybookA readiness checklist for long-running AI agents
Assess long-running AI agents with a practical checklist for task state, permissions, integrations, recovery, evaluation evidence, monitoring, and human takeover.
PerspectiveCloud foundations for operational AI
Assess cloud foundations for AI through identity, source access, deployment, monitoring, cost and recovery, with a scope suited to the intended workload.
PerspectiveDesign systems: shared decisions and usable interfaces
Build a design system around shared ownership, accessibility, responsive behavior and real product tasks, with a clear contribution and release process.
PerspectiveData products: ownership, contracts and useful evidence
Define data products with clear consumers, source ownership, freshness, change handling and operational evidence for analytics and AI applications.
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