Building a ChatGPT-Driven LinkedIn Publishing System: From WordPress Articles to Human-Approved, Analytics-Driven Posts By INGOAMPT · Developer architecture and implementation guide · Updated August 2026 […]
Executive summary: Reference matching, wrong references and fabricated citations in 2026 Executive summary: how to match messy references correctly — and avoid falsely accusing real […]
INGOAMPT · Research Engineering Broken Citations: How Wrong References Spread Through arXiv, and How Machines Catch Them A technical field guide to bibliographic errors, LLM […]
arXiv, DOIs & BibTeX: A Beginner’s Guide for Researchers INGOAMPT · AI ACADEMY · BEGINNER GUIDE arXiv, DOIs & BibTeX, Explained With Pictures What arXiv […]
Unmediated AI Citations Explained: Szeider’s MCP-DBLP (2026) ingoampt Unmediated AI-Assisted Scholarly Citations: How to Make an AI Citation Error Impossible A very beginner-friendly deep dive […]
How Citation Checking Systems Work: Algorithms & AI in 2026 ingoampt · Technical Deep Dive How Reference & Citation Checking Systems Actually Work — The […]
From One Record to Twelve Million: The Complete Guide From One Record to Twelve Million: The Complete Guide Three stages every large data-conversion project must […]
Sixteen decisions, sixteen diagrams, one running example — how raw records become one clean, searchable shape. By ingoampt. Sixteen decisions, sixteen diagrams, one running example — […]
Clean Layer & Search Layer: Build Search Over Messy Data From a 5 GB Mess to Fast Search: The Clean Layer and the Search Layer A […]
Testing a Python Data-Transformation Pipeline: Code Guide How to Write Tests for a Data-Transformation Pipeline in Python A code-level guide you can copy into any […]
