Fooyo blog
Longer reads on what we are building, and what we are learning while shipping it.
Most AI budgets fail not because the model was priced wrong, but because three categories of cost never made it into the spreadsheet in the first place: integration engineering, compliance review gates, and change management.
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Air-gapped AI runs on infrastructure with no network path to the public internet at all, while VPC-deployed AI runs inside a private, logically isolated section of a cloud provider's network that still has controlled external connectivity [zylon.ai].
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An escalation path for AI incident response is the pre-agreed sequence of who gets notified, in what order, and within what time window, when an AI system misbehaves, from a chatbot hallucinating a wrong answer to a production model silently drifting off its training
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When an AI vendor is acquired, the acquiring company decides what survives: the product, the roadmap, the support team, sometimes even the data your business fed into the system for years.
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Every AI deployment needs sign-off from four functional owners before it goes live: the business owner who defines success criteria, IT/security who clears infrastructure and data handling, legal/compliance who confirms regulatory fit, and an executive sponsor who accepts
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The lowest quote on an AI vendor shortlist usually signals a narrower scope, not a better deal. When enterprise buyers pick the cheapest bid, they are often buying a prototype-grade build that still needs domain logic, integration work, and governance controls added later, work
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Keyword search fails SME e-commerce sites because it matches text, not meaning: a shopper typing "warm jacket for toddler winter trip" gets nothing useful from a system built to find the literal string "warm jacket toddler winter trip" in a product title.
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WeChat Mini Programs come with built-in analytics that report page views, sessions, user counts, and average time spent, but they stop well short of the button-level, funnel-level detail that Google Analytics or Baidu Analytics users expect [gab-china.com].
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A RAG knowledge base stays accurate only if the retrieval index is refreshed at the same pace as the source documents it points to. When policies, price lists, or product specs change weekly but the underlying vector database is re-indexed monthly (or never), the system does not
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