Post · July 03, 2026
Agentic FinOps: Using Specs to Control the Cost of AI Autonomy
Lower your AI costs with spec-driven development. Discover how structured specifications prevent expensive recursive loops and optimize token usage in 2026.
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AI Systems
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Post · March 22, 2026
Designing Observability for AI Systems: From Prompts to Predictions
Explore how to design end-to-end observability for AI applications, covering prompt logging, model performance monitoring, data drift detection, and actionable alerts for production-grade AI systems.
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Post · January 23, 2026
Designing Predictable AI Systems in a Non-Deterministic World
Determinism matters in production AI. Explore how AI workflows provide control and reliability, while AI agents introduce non-determinism-and how to architect systems that balance both.
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Post · January 13, 2026
CQRS in AI systems: why separating reads from writes is the mental model prompt engineers have been missing
Explore how CQRS analogies apply to AI engineering - separating retrieval from mutation logic to build more reliable, observable AI systems.
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Post · August 17, 2025
How AI Systems Make Decisions: Workflow Mechanisms Every Engineer Should Understand
A practical breakdown of the core decision-making mechanisms used in AI workflows, explaining how rules, heuristics, models, and feedback loops interact in real-world systems.
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