Applied AI
Baseline Performance Testing for Production AI Systems
Baseline performance testing anchors production AI by establishing fixed targets for latency, throughput, accuracy, and reliability.
Explore Technical Analysis
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.
Technical Advisory
Battery Degradation Monitoring for Electric Drayage: Production-Grade Patterns
Battery degradation is not a single event; it unfolds across cycles, temperatures, and charging regimes, shaping uptime and total cost of ownership for electric drayage fleets.
Explore Technical Analysis
Applied AI
Becoming an AI Product Manager Without an AI Background: A Practical Path to Production-Ready AI
Becoming an AI product manager without an AI background is not only possible; it’s a practical discipline grounded in production-grade practices.
Explore Technical Analysis
Applied AI
Becoming an Enterprise AI Specialist for Production-Grade Systems
To become an AI specialist capable of delivering production-grade AI, start with system-level fluency: data pipelines, model governance, observability, and reliable deployment patterns.
Explore Technical Analysis
Applied AI
Behavior-driven development for reliable AI systems in production
Behavior-driven development for AI systems provides a disciplined approach to codify expectations of autonomous agents, orchestration layers, and intelligent components into testable contracts that run in production.
Explore Technical Analysis
Applied AI
Behavioral signal pipelines for AI systems: design, deployment, and governance
Behavioral signal pipelines are not just dashboards; they encode the real-world cues that determine how AI agents behave in production.
Explore Technical Analysis
Applied AI
Benchmarking Local Model Speed vs Proprietary API Performance
In enterprise AI, runtime speed is a decision lever that directly impacts user experience, cost, and risk. When you benchmark local models against proprietary.
Explore Technical Analysis
Applied AI
BERTScore for semantic evaluation in production AI systems
For production-grade AI evaluation, BERTScore offers a principled way to measure semantic similarity between candidate outputs and references using contextual embeddings.
Explore Technical Analysis
Applied AI
Best AI prompts for writing robust product requirements
Producing reliable product requirements for AI-enabled systems requires prompts that reduce ambiguity while preserving engineering control.
Explore Technical Analysis