<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Achraf Ez</title><description>Data &amp; AI consultant, agentic entrepreneur, and founder building practical AI products.</description><link>https://achrafez.com/</link><item><title>One Prompt, Thirty-Two Calls, or Seven</title><link>https://achrafez.com/posts/2026/one-prompt-thirty-two-calls-or-seven/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/one-prompt-thirty-two-calls-or-seven/</guid><description>Batching an LLM checklist is a blast-radius decision before it is a performance one: a seeded simulation of three call shapes, and why a call count is arithmetic while a speed-up is a measurement.</description><pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate></item><item><title>A Detector With Perfect Precision and Zero Recall</title><link>https://achrafez.com/posts/2026/perfect-precision-zero-recall/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/perfect-precision-zero-recall/</guid><description>A document check cleared every genuine file and every forgery in a labelled set; a seeded synthetic run shows why specificity on genuine inputs is free and recall is the first number to ask for.</description><pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate></item><item><title>The Constant Nobody Could Re-Measure</title><link>https://achrafez.com/posts/2026/the-constant-nobody-could-re-measure/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/the-constant-nobody-could-re-measure/</guid><description>A magic number survives because there is nothing to re-measure it with. The calibration data is often already in a log you throw away, and the same data sets the noise floor that makes the result readable.</description><pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate></item><item><title>The Forecast Metric That Hides the Failure</title><link>https://achrafez.com/posts/2026/the-forecast-metric-that-hides-the-failure/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/the-forecast-metric-that-hides-the-failure/</guid><description>A volume weighted error of 7.6 percent and a net bias of 0.2 percent can describe a forecast that loses to a seasonal naive on 77 of 116 slow moving series. A seeded panel shows what to measure instead.</description><pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate></item><item><title>From Brief to Rendered Animation: Making an AI Media Pipeline Inspectable</title><link>https://achrafez.com/posts/2026/from-brief-to-rendered-animation/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/from-brief-to-rendered-animation/</guid><description>A failed scene edit shows why reliable AI video systems need approved scripts, timed artifacts, deterministic fallbacks, and media read-back.</description><pubDate>Sat, 08 Aug 2026 18:00:00 GMT</pubDate></item><item><title>Calendar Features for TabPFN Time Series: Geometry, Encodings, and an Open Edge Case</title><link>https://achrafez.com/posts/2026/calendar-features-for-tabpfn-time-series/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/calendar-features-for-tabpfn-time-series/</guid><description>TabPFN-TS turns forecasting into a table-plus-features problem. A 24-hour edge case shows why geometry, checkpoint compatibility, and release evidence are separate gates.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate></item><item><title>How Far Should You Tune LightGBM? A Budget for the Last Fraction of a Point</title><link>https://achrafez.com/posts/2026/how-far-should-you-tune-lightgbm/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/how-far-should-you-tune-lightgbm/</guid><description>LightGBM tuning can win, but only a deployment-faithful baseline and nested validation can show whether the last fraction of a point pays for its search.</description><pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate></item><item><title>Are Tabular Foundation Models Worth the Hype? My Bet Is Yes - but Not for the Reason You Think</title><link>https://achrafez.com/posts/2026/tabular-foundation-models-worth-the-hype/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/tabular-foundation-models-worth-the-hype/</guid><description>Tabular foundation models are a real shift, but the durable bet is about information sets, task breadth, and synthetic priors - not easy benchmark wins.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Insurance AI Needs Evidence Graphs, Not Just Fraud Scores</title><link>https://achrafez.com/posts/2026/insurance-ai-needs-evidence-graphs/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/insurance-ai-needs-evidence-graphs/</guid><description>A synthetic insurance claim shows how hashes, typed facts, contradictions, abstention, and human review make AI recommendations auditable.</description><pubDate>Sat, 11 Apr 2026 00:00:00 GMT</pubDate></item><item><title>From PDFs to Citable Verdicts: Engineering an Evidence-Grounded Qualiopi Pre-Audit</title><link>https://achrafez.com/posts/2026/from-pdfs-to-citable-verdicts/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/from-pdfs-to-citable-verdicts/</guid><description>A practical design for separating relevance from proof, preserving document lineage, abstaining safely, and evaluating a citable Qualiopi pre-audit.</description><pubDate>Fri, 27 Feb 2026 00:00:00 GMT</pubDate></item><item><title>From Human-Like Text to Human Voice: What LLM Writing Still Misses</title><link>https://achrafez.com/posts/2026/from-human-like-text-to-human-voice/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/from-human-like-text-to-human-voice/</guid><description>Short AI text can already pass bounded source tests. The harder question is whether a model can sustain one person&apos;s situated voice across contexts and time.</description><pubDate>Tue, 03 Feb 2026 00:00:00 GMT</pubDate></item><item><title>I Stopped Prompting Claude Code and Started Engineering the Loop</title><link>https://achrafez.com/posts/2026/i-stopped-prompting-claude-code-and-started-engineering-the-loop/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/i-stopped-prompting-claude-code-and-started-engineering-the-loop/</guid><description>A green test suite missed an integration seam; a frozen mutation experiment shows how repository rules, executable checks, scoped review, and replay state make agentic work more inspectable.</description><pubDate>Wed, 14 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Aeon Periodograms for Unequal-Length Time Series</title><link>https://achrafez.com/posts/2026/the-keyword-that-broke-unequal-length-periodograms/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/the-keyword-that-broke-unequal-length-periodograms/</guid><description>How Aeon&apos;s PeriodogramTransformer pads unequal-length collections, why its list and 3-D branches need parity, and what one case study teaches.</description><pubDate>Fri, 21 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Fourier Smoothing in Aeon: Symmetry, Cutoffs, and Better Tests</title><link>https://achrafez.com/posts/2026/the-fourier-smoother-that-halved-the-signal-it-kept/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/the-fourier-smoother-that-halved-the-signal-it-kept/</guid><description>A bounded Aeon DiscreteFourierApproximation case study shows how conjugate symmetry, passband gain, and cutoff semantics expose concrete Fourier failure modes.</description><pubDate>Thu, 06 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Your ACF Can Be Right While Its Confidence Interval Is Wrong</title><link>https://achrafez.com/posts/2026/your-acf-can-be-right-while-its-confidence-interval-is-wrong/</link><guid isPermaLink="true">https://achrafez.com/posts/2026/your-acf-can-be-right-while-its-confidence-interval-is-wrong/</guid><description>A missing-data bug in statsmodels left ACF estimates unchanged while confidence intervals and Ljung-Box statistics used the wrong sample size.</description><pubDate>Tue, 14 Oct 2025 00:00:00 GMT</pubDate></item></channel></rss>