<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>CustomLabs Insights</title><link>https://customlabs.io/insights/</link><description>Working notes on shipping AI in production, from the CustomLabs studio.</description><language>en-us</language><item><title>Prompt Injection Is a Data Problem: A Threat Model You Can Ship Against</title><link>https://customlabs.io/insights/prompt-injection-threat-model/</link><description>Prompt injection can&apos;t be filtered away: the model can&apos;t reliably tell instructions from data. Here&apos;s the actual threat model and the controls that hold up.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/prompt-injection-threat-model/</guid></item><item><title>Why Your AI Agent Works in the Demo and Stalls in Production</title><link>https://customlabs.io/insights/ai-agents-stall-in-production/</link><description>An agent that nails the demo stalls in production because reliability compounds across steps. Here&apos;s the math, the real failure modes, and how to ship one anyway.</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/ai-agents-stall-in-production/</guid></item><item><title>What AI Actually Costs in Production, by Workload</title><link>https://customlabs.io/insights/ai-cost-benchmark-by-workload/</link><description>A modeled, reproducible benchmark of cost-per-successful-outcome across four common AI workloads, with every token assumption, price, and overhead multiplier shown.</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/ai-cost-benchmark-by-workload/</guid></item><item><title>Model-Agnostic by Design</title><link>https://customlabs.io/insights/model-agnostic-by-design/</link><description>Models change under you every few months: price, quality, and capability. Here&apos;s why we never hardcode a single provider into a client&apos;s feature.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/model-agnostic-by-design/</guid></item><item><title>Your RAG Demo Lied to You</title><link>https://customlabs.io/insights/your-rag-demo-lied/</link><description>Retrieval that looks flawless on ten clean PDFs falls apart on a real corpus. Here&apos;s why, and what evaluating retrieval quality actually requires.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/your-rag-demo-lied/</guid></item><item><title>What an AI Feature Actually Costs in Production</title><link>https://customlabs.io/insights/what-ai-actually-costs/</link><description>Token costs that look trivial in a demo compound fast at scale. Here&apos;s how to make cost a first-class metric instead of a surprise on the invoice.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/what-ai-actually-costs/</guid></item><item><title>Evals Before You Ship: Why AI Features Need Tests Too</title><link>https://customlabs.io/insights/evals-before-you-ship/</link><description>Shipping an AI feature without an eval suite in CI means every prompt tweak is a guess. Here&apos;s what an eval suite actually needs to cover.</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/evals-before-you-ship/</guid></item><item><title>Build, Buy, or Skip: A Framework for AI Decisions</title><link>https://customlabs.io/insights/build-buy-or-skip/</link><description>A technically honest framework for deciding whether an AI initiative should be built in-house, bought off the shelf, or skipped entirely this year.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/build-buy-or-skip/</guid></item><item><title>From Notebook to Production: What Actually Breaks</title><link>https://customlabs.io/insights/notebook-to-production/</link><description>The gap between a working AI demo and a production feature is auth, latency, cost and fallbacks. Here&apos;s how we close it without a rewrite.</description><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate><guid isPermaLink="true">https://customlabs.io/insights/notebook-to-production/</guid></item></channel></rss>