AI Agent on 2026
How to Build an AI Agent in 2026: MCP + Python Tutorial Developer guide · Updated 7 September 2026 How to Build an AI Customer […]
Does ChatGPT use python inside? Why ChatGPT Still Hallucinates although is using python for many tasks ?
Inside ChatGPT’s Python Engine & AI Hallucinations in 2026 | Technical Audit & Architecture iA Ingoampt Tech & Audit Research 2026 Replication Audit Executive Audit […]
How to Automate LinkedIn Posts From Your Website (Step-by-Step)
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 […]
How do I build the best reference-matching model in 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 […]
The Fake Citation Epidemic: How Halucinated References Spread and the AI Tools Fighting Back
INGOAMPT · Research Engineering Broken Citations: How Wrong References Spread Through arXiv, and How Machines Catch Them A technical field guide to bibliographic errors, LLM […]
To all researchers, what is arXiv ? what are the .bib and .bbl files there ? what is BibTex ?
arXiv, DOIs & BibTeX: A Beginner’s Guide for Researchers INGOAMPT · AI ACADEMY · BEGINNER GUIDE arXiv, DOIs & BibTeX, Explained With Pictures What arXiv […]
Paper of Unmediated AI-Assisted Scholarly Citations
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 […]
Llm & Chatgpt Problem Is Giving Us —- Wrong References ( HALLUCINATION) —- What Can Be The Solution ?
How Citation Checking Systems Work: Algorithms & AI in 2026 ingoampt · Technical Deep Dive How Reference & Citation Checking Systems Actually Work — The […]
THE THREE STAGES IN ONE LINE EACH : Stage A — the machine: convert one record perfectly Stage B — the conveyor belt: run that machine millions of times without losing anything. Stage C — the real run: prepare carefully, then actually do it on real data.
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 […]
The Complete Mapping Stage: Sixteen Decisions, Sixteen Diagrams, One Running Example: How Raw Records Become One Clean, Searchable Shape.
Sixteen decisions, sixteen diagrams, one running example — how raw records become one clean, searchable shape. By ingoampt. Sixteen decisions, sixteen diagrams, one running example — […]
