4 posts
How to manage the lifecycle of LLM applications in 2026: versioning prompts and models together, evaluation gate before every deploy, and rollback in under a minute.
AI in manufacturing 2026: predictive maintenance with sensors, image-based quality control, automated reporting. What's realistic and where human oversight is essential.
What separates an AI demo from a production system in 2026: monitoring, guardrails, human-in-the-loop, costs, rollback, and SLA—and how to close this gap step by step.
How AI in manufacturing reduces defects, predicts failures, and automates processes. Implementation patterns, costs, and limitations for companies in Poland.
