Last night I was deep in a build session with an AI assistant. We picked it back up tonight. At some...
LLMs confidently answer from stale retrieved context because models lack real-time freshness signals; outdated pricing, compliance, or availability data goes undetected. For production systems (RAG, agents, knowledge tools), the fix is metadata-stamped information with decay models enabling validity checks at read-time—not smarter models.
Last night I was deep in a build session with an AI assistant. We picked it
back up tonight. At some point I mentioned it had been a day and a half since
we last spoke — and the model had no idea. None. As far as it knew, it was
still the previous session. The gap was invisible to it.
That tiny moment is one of the most underrated problems in AI systems right
Recent AI engineering signals point to a practical lesson: huge context windows help, but reliable AI apps still need context…
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One day I had the AI keep building out a feature, and partway through something felt off: replies got...
Stop Your AI Agent Forgetting Everything Between Sessions You know that feeling — you...
Three hackathons in three months. Three different agent setups. Three times I wrote a system prompt...
