The latest articles on DEV Community by Eugyne Odhiambo (@eugyne_odhiambo_6c55313e9). https://dev.to/eugyne_odhiambo_6c55313e9 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1875173%2F62b765bc-274e-4269-8d32-2ea0a075591d.jpg https://dev.to/eugyne_odhiambo_6c55313e9 en Eugyne Odhiambo Sat, 19 Sep 2026 07:52:16 +0000 https://dev.to/eugyne_odhiambo_6c55313e9/ai-powered-transport-fleet-safety-portal-in-nextjs-sanity-studio-3idi https://dev.to/eugyne_odhiambo_6c55313e9/ai-powered-transport-fleet-safety-portal-in-nextjs-sanity-studio-3idi <p>*This is a submission for the <a href="https://dev.to/challenges/sanity-2026-09-16">Sanity Challenge, Path Two: Vibe-Code Something Strange</a></p> <h2> What I Built </h2> <p>I built a full-stack, AI-driven <strong>Transport &amp; Fleet Safety Operations Manual</strong> portal powered by Sanity Studio (<code>dyxta77n</code>) and a Next.js App Router frontend[cite: 1, 9]. The app fetches structured safety compliance documents—such as heavy vehicle pre-inspection protocols, driver licensing qualification standards, and cargo securement rules—directly from the Sanity production dataset.</p> <h2> Demo &amp; Architecture </h2> <ul> <li>Repository Link: <a href="https://github.com/skywalker-beep/transport-compliance-kb" rel="noopener noreferrer">View Code on GitHub</a> </li> <li>Stack: Next.js (App Router, Tailwind CSS, TypeScript) + Sanity Studio (<code>dyxta77n</code>)</li> </ul> <h2> How It Works </h2> <p>Using an AI-native workflow, compliance records are managed inside Sanity Studio and dynamically queried through the Next.js client (<code>next-sanity</code>), rendering clean, card-based operation protocols optimized for safety managers and fleet supervisors.</p> devchallenge sanitychallenge sanity ai Eugyne Odhiambo Sat, 19 Sep 2026 07:24:09 +0000 https://dev.to/eugyne_odhiambo_6c55313e9/transport-fleet-safety-operations-manual-an-ai-powered-compliance-knowledge-base-1e01 https://dev.to/eugyne_odhiambo_6c55313e9/transport-fleet-safety-operations-manual-an-ai-powered-compliance-knowledge-base-1e01 <p><em>This is a submission for the <a href="https://dev.to/challenges/sanity-2026-09-16">Sanity Challenge, Path One: Ship an Agent That Queries Real Content</a></em></p> <h2> What I Built </h2> <p>I built an automated, AI-driven Transport &amp; Fleet Safety Operations Manual backed by Sanity Studio and queried in real-time through an editor assistant.</p> <h2> Sanity Project Details </h2> <ul> <li>Project ID / Dataset: dyxta77n</li> </ul> <h2> How I Used Sanity </h2> <p>My agent reads and queries structured compliance data stored in Sanity Studio. </p> <ul> <li>The Setup: I configured a custom schema to model multi-category safety records.</li> <li>The Knowledge Base: I populated the dataset with six core operational documents covering Pre-Trip Inspections, Emergency Spill/Hazmat Protocols, Severe Weather Guidelines, Post-Accident Procedures, Hours of Service (HOS) &amp; Fatigue Management, and Cargo Securement Standards.</li> <li>The Agent Workflow: Using a local Model Context Protocol (MCP) bridge, my VS Code AI assistant directly connects to Sanity datasets, allowing it to perform complex, multi-document synthesis and cross-reference penalties, operational timelines, and safety criteria on the fly.</li> </ul> <h2> Code &amp; Architecture </h2> <ul> <li>Stack: Sanity Studio (<code>complianceDocument.ts</code>), local MCP server, and VS Code AI assistant</li> <li>Dataset: Project <code>dyxta77n</code> </li> <li>GitHub Repository: <a href="https://github.com/skywalker-beep/transport-compliance-kb" rel="noopener noreferrer">View Source Code on GitHub</a> </li> </ul> devchallenge sanitychallenge sanity ai