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#Production AI

Articles tagged with Production AI. Practical engineering insights for production systems.

11 articles on this page

2026-05-29 5 min read

Offline + Online Eval: The Hybrid Testing Strategy for Production LLM Systems

The industry standard has shifted to hybrid evaluation: golden datasets in CI/CD plus live traffic monitoring. Learn the offline + online eval strategy for production LLM and agent systems.

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2026-05-28 4 min read

The 7-Layer Agent Stack: Why Your Demo-Grade Agent Keeps Failing in Production

Most production agent platforms started as LangChain scripts with orchestration retrofitted under deadline. The 7-layer agent stack explains why demo-grade agents fail—and what to build instead.

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2026-05-27 4 min read

Agent Engineering: The New Discipline Your 2026 Engineering Team Needs

57% of organizations have agents in production, but 48% skip offline evaluations and 63% skip online monitoring. Agent engineering is the DevOps of 2012—here's the discipline your team needs.

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2026-05-08 3 min read

AI Tutoring Systems in Production: Architecture Beyond the Demo Chatbot

AI tutors need curriculum grounding, safety guardrails, and cost controls—not just a chat wrapper. Production architecture for EdTech AI: RAG, evals, and FERPA-aware design.

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2026-04-26 5 min read

RAG vs Fine-Tuning: The Production Engineer's Decision Framework

RAG vs fine-tuning for LLMs: a practical decision framework covering cost, latency, accuracy, update frequency, and implementation complexity for production AI systems.

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2026-04-23 6 min read

LLM Evals in Production: How to Actually Measure AI Output Quality

Shipping an LLM to production without evals is flying blind. Learn how to build an evaluation framework that measures accuracy, safety, and consistency—and catches regressions before users do.

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2026-04-21 6 min read

AI Cost Optimization: How to Cut LLM API Bills by 60% Without Degrading Quality

LLM API costs spiral fast as you scale. Learn the practical optimization techniques—prompt compression, caching, model routing, batching—that reduce inference costs without sacrificing output quality.

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2026-04-19 6 min read

LLM Context Window Management: Engineering Patterns for Long-Context Production Systems

Larger context windows don't solve context management—they defer the problem. Learn the engineering patterns for managing LLM context in production: chunking, summarization, memory tiers, and the lost-in-the-middle problem.

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2026-04-18 7 min read

Building Reliable AI Agents: Patterns for Failure Recovery, Observability, and Safe Autonomy

AI agents fail in new ways. Learn the reliability engineering patterns—idempotency, circuit breakers, human-in-the-loop, and agent observability—that make autonomous AI systems safe to run in production.

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2026-04-17 7 min read

LLMOps: How to Run AI Models in Production Without Flying Blind

MLOps for traditional models is well-understood. LLMOps adds new dimensions: prompt versioning, model routing, drift detection on probabilistic outputs, and cost management. Here's the complete operational framework.

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2026-04-16 7 min read

AI Product Architecture in 2026: The Reference Stack for Building Reliable AI Features

What does a production-ready AI product architecture actually look like in 2026? A practical reference stack covering model layer, retrieval, agent orchestration, eval, observability, and the human-in-the-loop tier.

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