gentle-shell is a Pi extension that enforces engineering discipline on AI coding agents through scope-first changes, evidence trails, strict TDD, frozen reviews, and human approval — making every AI change auditable and controllable.
This article argues that AI's commoditization of knowledge delivery forces teachers to shift from answer providers to designers of cognitive challenges, guardians of evidence-based judgment, and coaches who help students build irreplaceable decision-making structures through evidence chains and guarded AI use.
New Chinese cybersecurity incident reporting rules demand more than template compliance; they require organizations to correlate alerts with business context, maintain evidence chains, trace response actions, and enable post-incident review—testing operational maturity over paperwork.
This article details the third step of ontology-driven data governance: mapping existing data assets — tables, fields, documents, logs, APIs, model outputs, and human confirmations — to a business semantic model through object, attribute, state, relationship, rule, evidence, and service-action mappings, producing semantic lineage, evidence chains, and high-quality dataset candidates for semantic queries, quality validation, and agent services.
This article argues that police AI's true value lies not in document generation but in semantic platforms that understand interrogation records, link evidence chains, and embed into case-handling workflows, shifting from post-hoc correction to real-time, controlled assistance across investigation, approval, and archival stages.
The article analyzes why existing audio‑video QA pipelines break narrative continuity, proposes a structured‑script and evidence‑chain approach to automatically build the OmniVideo-100K dataset of 100K high‑quality QA pairs, and shows that fine‑tuning open‑source multimodal models on this data yields consistent accuracy gains across multiple benchmarks.
