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I Built a Q&A Bot Over Our Company Docs: A Practical Guide to RAG
Our support team kept asking me the same thing: “Can we just get a bot that actually knows our product?” The LLM we were using sounded confident, but it did not know our data. It would answer beautifully and still be wrong. It missed our latest policy updates, got internal product names confused, and ignored the…
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Building Trustworthy AI: The Thin AI, Thick Server Model
Building MCP-based AI systems that reason with models and execute through deterministic tools As engineers, we’re skeptical of systems that aren’t deterministic. Many current AI applications, which bundle reasoning and execution into a single model, are fundamentally unreliable for mission-critical tasks. A travel bot that hallucinates a visa requirement isn’t…
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Unlocking Backend Delivery with Specification-Driven Development
If you’ve been a backend engineer for any length of time, you know the feeling. It’s the slow, creeping chaos that quietly undermines even the most well-planned projects. It starts with a clear requirement, but somewhere between the Jira ticket, a dozen Slack threads, and a design meeting you half-remember,…