Applied AI
Is your self-hosted model leaking data via local logs?
Self-hosted AI models unlock data sovereignty but bring a clear responsibility: every piece of data that flows through the system can end up in logs.
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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
ISO Standards and Compliance for Agentic Robotics in Production Environments
Agentic robotics promises accelerated automation and smarter decision making at scale, but turning that promise into reliable, auditable production requires governance built in from day zero.
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Applied AI
Iteration cycles for RAG retrieval in production systems
RAG iteration cycles are not theoretical; in production they govern latency, data freshness, and trust. This article presents pragmatic cadences, governance controls, and observability patterns to prevent hallucinations and keep enterprise agents reliable.
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Applied AI
Jagged Intelligence in Production: Stabilizing State-of-the-Art Models
Production AI often underwhelms relative to its benchmark performance. Jagged intelligence surfaces when powerful models operate within imperfect data feeds, evolving environments, and complex system boundaries.
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Applied AI
Jailbreak testing for LLMs: practical guardrails in production AI systems
Jailbreak testing for LLMs is about validating guardrails and safety controls under realistic production conditions. It answers the core question of how.
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Applied AI
Jobs to Be Done for AI Agents: Designing production-grade agent workflows
Jobs to Be Done for AI agents provides a pragmatic framework for building production-grade AI workflows that reliably deliver business outcomes.
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Applied AI
Just-in-Time Agentic Response for Supply Disruptions: Architecting Resilient, Auditable Systems
Just-in-Time agentic systems are not futuristic fluff; they are practical, production-grade patterns that cut response times, preserve governance, and improve resilience in disrupted supply chains.
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Applied AI
Kanban for Continuous LLM Deployment: A Production-Grade Governance Blueprint
Kanban for continuous LLM deployment is a disciplined, flow-based approach to shipping model updates, prompts, and guardrails into production.
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Applied AI
Kanban vs Scrum for AI startups: architecture-aware agile for production AI
Kanban and Scrum offer distinct, production-grade options for AI startups at the intersection of research velocity and operational maturity.
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