Applied AI
Managing Technical Debt in LLM Wrappers: Practical Patterns for Production AI
Technical debt in LLM wrappers is a production-risk that compounds as models evolve, APIs shift, and governance requirements tighten.
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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
Managing Technical Debt with AI Agents in Production: Practical Strategies for Enterprises
Technical debt in AI-enabled systems accumulates quickly as models, data pipelines, and governance controls evolve. In high-velocity environments, teams trade.
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Technical Advisory
Managing Token Costs for SaaS: Practical Strategies for Unit Economics
Token costs are not merely a line item; they are a design signal that shapes how AI-enabled capabilities are built, deployed, and governed in a multi-tenant SaaS.
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Technical Advisory
Managing Versioning and Rollback Strategies for Agent System Prompts
Versioning prompts as production artifacts is not optional. It is a structural control that enables reliable, auditable, and safe agent workflows across distributed systems.
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Applied AI
Manual vs automated grading of LLMs in production: patterns for governance and speed
Manual vs automated grading of LLMs in production requires a clear decision framework: automate routine checks to speed up delivery while reserving human review for high-risk or novel prompts.
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Applied AI
Manufacturing 4.0: Orchestrating Predictive Maintenance with Agentic Workflows
Agentic orchestration for predictive maintenance delivers reliable, auditable, and faster recovery by distributing sensing, reasoning, and action across edge devices, local controllers, and enterprise planners.
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Applied AI
Manufacturing PMs: Agents-driven predictive maintenance strategy
Predictive maintenance in manufacturing is more than a data science exercise. It is a production-grade workflow that blends sensor streams, a graph-backed.
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Applied AI
Manufacturing Strategy with Autonomous Agents for Digitized Supply Chains
Autonomous agents, when governed by explicit data contracts and rigorous testing, can deliver rapid, auditable actions across the manufacturing value chain.
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Applied AI
Mapping complex user flows with AI agents: production-grade pipelines for governance and UX
AI agents are not merely experimental components; when designed as production-grade collaborators, they become the orchestration layer behind mapping complex user flows.
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