<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>NeuralOps Journal</title><link>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/</link><description>Architecture notes for the people building reliable AI systems.</description><item><title>Designing a routing boundary for repeatable AI workloads</title><link>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/routing-boundary/</link><guid>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/routing-boundary/</guid><description>The useful boundary is between judgment and execution. Design it before choosing a larger model.</description></item><item><title>Tenant context is more than a WHERE clause</title><link>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/tenant-context/</link><guid>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/tenant-context/</guid><description>A shared database needs a consistent identity boundary from HTTP requests to queued jobs.</description></item><item><title>A backup becomes a capability when the restore works</title><link>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/restore-first/</link><guid>https://ainna-publishing-grid.masli.chatgpt.site/demos/neuralops/restore-first/</guid><description>Successful upload is one metric. Recovering a consistent publication is the real test.</description></item></channel></rss>