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    <title>Aiengineering on Thomas Talks AI: Claude Code, AI Agents &amp; Production Engineering</title>
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      <title>From AI POC to production: the part teams keep skipping</title>
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      <description>A practical AI engineering article on moving generative AI from POC to production: operating model, evals, observability, governance, security, cost, and rollout discipline.</description>
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      <title>LLM observability is not a dashboard. It is a replayable trail.</title>
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      <pubDate>Sun, 10 May 2026 10:24:00 +0100</pubDate>
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      <description>LLM observability for production AI systems: why teams need replayable traces, source evidence, tool-call records, eval checks, and prompt/model versioning.</description>
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      <title>AI agents in financial services need controls before autonomy</title>
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