# fully automated (blogs) — RSS Amplifier Recent posts from the 2 feeds in the RSS Amplifier directory that cover fully automated. Page: Feed: --- ## [Fabric Accelerator: Metadata-Driven ELT Pattern for Mirrored Databases](https://bennyaustin.com/2026/08/04/fabric-accelerator-mirrordb-elt/) _2026-08-04 · Benny Austin · Benny Austin_ Microsoft Fabric now offers low-cost, low-latency data replication into OneLake through mirroring, facilitating near real-time analytics without complex ingestion. The Fabric Accelerator 5.0 introduces a OneLake-Native ELT Pattern, eliminating duplicate data and accelerating the creation of reliable data products directly from shared assets while maintaining governance and quality standards. ## [How to build a short-term rental direct booking site with Claude, Smoobu & Stripe — in 10+ languages](https://waldo.vanderlore.de/blog/smoobu-stripe-direct-booking/) _2026-06-17 · Waldo Vanderhaeghen_ A complete build guide for STR operators who want to own their booking channel: Next.js, Smoobu API, Stripe webhooks, multilingual i18n with SEO, GA4 + PostHog analytics, Telegram error alerts, Claude agent automation loops, and German legal compliance. ## [Deutsches Recht für deine Website, direkt in Claude Code](https://waldo.vanderlore.de/blog/german-legal-compliance-for-small-websites/) _2026-06-03 · Waldo Vanderhaeghen_ 4 Claude Code Skills für DSGVO, BFSG-Barrierefreiheit, Einwilligungs-Widerruf und E-Commerce-Recht — vollständiger Compliance-Audit auf Basis aktueller Gesetzestexte. Kostenlos und open source. ## [The future of SaaS is tailored software](https://waldo.vanderlore.de/blog/software-factory-nfcpress/) _2026-05-29 · Waldo Vanderhaeghen_ I built an NFC business card platform with a friend who runs a print shop. What we learned along the way says something about where software is going. ## [The ticket is the thinking](https://waldo.vanderlore.de/blog/spec-driven-development/) _2026-05-29 · Waldo Vanderhaeghen_ How I treat every task, bug, and finding as a spec — and why that turns a kanban board into a compounding knowledge system. ## [How we stopped hoping our AI was right and started knowing it](https://waldo.vanderlore.de/blog/the-model-doesnt-decide/) _2026-05-11 · Waldo Vanderhaeghen_ We built a fully automated campaign recommendation pipeline. The AI was fast, impressive, and wrong in ways we didn't notice for weeks. Here's what fixing that actually looked like. ## [My sync daemon wiped 28 tasks in two seconds.](https://waldo.vanderlore.de/blog/notion-obsidian-sync-war-story/) _2026-04-30 · Waldo Vanderhaeghen_ A war story about building a Notion ↔ Obsidian sync daemon — what broke, why 28 tasks vanished, and the four fixes that made it resilient. ## [We can each build anything. So why can't we build together?](https://waldo.vanderlore.de/blog/ai-camp-berlin-2026/) _2026-04-28 · Waldo Vanderhaeghen_ Notes from AI Bar Camp Berlin 2026 — my talk, what the room taught me, and the shared context problem nobody has solved yet. ## [The future of AI agents looks a lot like 2010.](https://waldo.vanderlore.de/blog/how-i-run-my-agent-team/) _2026-04-28 · Waldo Vanderhaeghen_ The thing missing from most agent setups isn't model quality or tool use. It's project management. Old patterns, new actors. ## [You were never paying for the software.](https://waldo.vanderlore.de/blog/you-were-never-paying-for-the-software/) _2026-04-22 · Waldo Vanderhaeghen_ The AI-kills-SaaS debate is asking the wrong question. SaaS was always a data product. AI doesn't change that — it makes it more true. ## [Persona-led AI publishing (Sponsored)](https://crawlproof.com/a/AHkK0BKhUt2h) _2026-04-21 · **Sponsored**_ Generate drafts, schedule subdomain publishing, and keep human review where needed. ## [CTR is not the story. It's the first sentence.](https://waldo.vanderlore.de/blog/ctr-is-not-the-story/) _2026-04-16 · Waldo Vanderhaeghen_ Optimizing search ranking for a sponsored ads product taught me something about proxy metrics: CTR tells you one thing. It doesn't tell you everything — and the gap is where the interesting problems live. ## [Most AI-generated Jira tickets are useless. Here's the system that fixed mine.](https://waldo.vanderlore.de/blog/pm-workflow-ai-tickets/) _2026-04-09 · Waldo Vanderhaeghen_ A set of Claude Code skills that encode your team's ticket philosophy once — so every Jira output starts grounded, not generic. ## [We could only manually review a fraction of campaigns each week. Now every single one gets analysed every night.](https://waldo.vanderlore.de/blog/campaign-analysis-automation/) _2026-03-31 · Waldo Vanderhaeghen_ How I automated campaign review for a large book of advertisers using Python, Bedrock, and GitHub Pages. ## [My tax script kept breaking. Claude Code read the whole thing and fixed it.](https://waldo.vanderlore.de/blog/tax-flow-claude-code/) _2026-03-15 · Waldo Vanderhaeghen_ How switching from patch-by-chat to Claude Code's full-context collaboration changed the way I build and maintain automation scripts. ## [My daughter named it. I just had to build it.](https://waldo.vanderlore.de/blog/robot-cooks-drawings/) _2026-03-05 · Waldo Vanderhaeghen_ Building a printable coloring page generator with Gemini, Supabase pgvector, and Puppeteer. ## [Education leave rocked my work](https://waldo.vanderlore.de/blog/bildungsurlaub-rocked-my-work/) _2026-02-28 · Waldo Vanderhaeghen_ Five days at a remote Generative AI course. I went to learn Python and LLMs. I did not expect to ship. ## [AI Invoice Automation (Gemini)](https://waldo.vanderlore.de/blog/ai-invoice-automation/) _2026-01-26 · Waldo Vanderhaeghen_ A self-learning pipeline that processes German tax invoices from Google Drive using Gemini AI — zero cost, fully automated. ## [Smoobu → Google Sheets Automation](https://waldo.vanderlore.de/blog/smoobu-sheets/) _2026-01-10 · Waldo Vanderhaeghen_ Automatically syncs Airbnb/Booking.com reservations from Smoobu into separate sheets for your cleaner, accountant, and yourself. ## [Fabric Accelerator: Deployments Now Fully Automated with Fabric CLI](https://bennyaustin.com/2025/12/09/fabric-accelerator-automated-deployment/) _2025-12-08 · Benny Austin · Benny Austin_ Fabric Accelerator setup is now fully automated, cutting deployment time from 2 hours to just 15–20 minutes. The new process uses Fabric CLI for streamlined configuration, eliminating Git dependencies and tedious ID replacements. Deploy all Fabric items with full support for re-runnability and asynchronous Long Running Operations (LRO). Git-based CI/CD via GitHub Actions ensures version-controlled… ## [Fabric Accelerator: ELT Framework Now Powered by Fabric SQL](https://bennyaustin.com/2025/08/25/fabric-accelerator-fsql/) _2025-08-24 · Benny Austin · Benny Austin_ The Fabric Accelerator is a reusable code component suite for Microsoft Fabric, supporting batch and real-time workloads. It features a metadata-driven ELT framework and has transitioned to Fabric SQL, enhancing management and integration. Minor updates were made for streamlined deployment while removing certain features for better efficiency. Data engineers are encouraged to explore its… ## [Meet Claude, an AI assistant (Sponsored)](https://crawlproof.com/a/3kJ0kOqlok5f) _2025-08-24 · **Sponsored**_ Chat with Claude at claude.ai — a conversational AI assistant. ## [Observability in Fabric Accelerator](https://bennyaustin.com/2025/04/23/fabric-accelerator-observability/) _2025-04-22 · Benny Austin · Benny Austin_ Introducing observability in Fabric Accelerator, the first RTI workload enhancing data platform insights. It monitors workspace activities, job events, OneLake actions, and alerts for execution anomalies and user trends. Leveraging a medallion architecture, it provides real-time data filters and visualizations, enabling timely notifications and efficient data tracking. ## [Introducing the Fabric Accelerator!](https://bennyaustin.com/2024/11/17/fabric-accelerator/) _2024-11-17 · Benny Austin · Benny Austin_ The Fabric Accelerator is a framework for building modern data platforms using Microsoft Fabric. It utilizes the ELT framework, offering ease of use, scalability, and flexibility. Key features include automated monitoring, pre-built artifacts, and a modular architecture. It aims to accelerate development, streamline operations, and incorporates industry best practices.