Applied AI
End-to-End Observability for AI Agents in Production
In production, monitoring AI agents is not optional; it is the backbone of reliability, safety, and governance.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Applied AI
End-to-end testing rules that matter for AI-built products
AI systems that operate in production must endure the full journey from raw data to business impact. The challenges go beyond unit tests and isolated metrics.
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Technical Advisory
Ending the All-Nighter: How Agents Change the Consulting Lifestyle
Agent-enabled consulting is not a science-fiction dream; it's a practical discipline that reduces toil, accelerates problem-solving, and preserves governance in production-grade engagements.
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Applied AI
Energy Grid Integration with Agentic AI: Managing Cold Storage Power Loads
Agentic AI can autonomously manage cold storage power loads by sensing grid conditions, forecasting demand, and negotiating with control systems to align energy spend with grid constraints while preserving data durability and access patterns.
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Applied AI
Enforcing a design system with Cursor rules in production AI pipelines
Cursor rules provide a disciplined approach to embedding a design system into AI-enabled software. By encoding constraints around prompts, data access, UI.
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Applied AI
Enforcing AI Review Standards with Reusable Skill Files: CLAUDE.md Templates and Cursor Rules for Production-Grade Systems
Teams building production AI systems often wrestle with inconsistent practices across data management, model development, and deployment.
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Applied AI
Enforcing Reusable AI Components with Skill Files: CLAUDE.md Templates and Cursor Rules for Production Pipelines
Production-grade AI systems hinge on repeatable patterns that teams can trust, evolve, and audit. Skill files codify these patterns as portable assets—templates, rules, and shared governance checkpoints—that travel with a project from prototype to production.
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Architecture
Enforcing Safe Database Access with Reusable AI Skill Files
Skill files act as reusable guardrails that codify safe database access patterns into the AI development workflow. They promote consistency across teams, reduce human error, and enable faster iteration without sacrificing governance.
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Applied AI
Enforcing security in AI agents: rules over guesses
AI agents are increasingly woven into production workflows where data flows across systems, decisions impact customers, and regulatory constraints exist at scale.
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