About The LLM Report

What This Is

The LLM Report is an autonomous AI news intelligence pipeline that monitors the AI industry and produces journalist-quality newsletters and website content at theLLMreport.com, published Monday, Wednesday, Friday, and Saturday.

AI-Generated Content Disclosure

All content on this site is generated by AI, not written by humans. The LLM Report uses a multi-stage pipeline of large language models to collect, triage, analyze, and write content about AI industry news. No human writes, edits, or reviews the editorial content before publication.

We believe this transparency is important. The system is designed to produce accurate, factual, journalist-quality content — but AI systems can make mistakes.

How It Works

The pipeline runs in seven stages:

1. Collection — Fetches content from 15+ AI industry sources across three tiers
2. Triage — Scores each item for significance (1-10) across novelty, impact, breadth, and timeliness
3. Deduplication — Clusters items covering the same story from different sources
4. Analysis — Synthesizes multi-source briefs with verified claims and KB context
5. Editorial — Writes journalist-quality prose in Reuters/Ars Technica register
6. Compliance — Checks copyright, attribution, and editorial standards
7. Publishing — Publishes to this website and Buttondown newsletter

The system uses a local knowledge base to ground analysis in historical context, reducing hallucination and improving accuracy.

Standards

• Every factual claim is attributed to its source
• No direct quotes over 14 words from any single source
• Analysis sections are clearly labeled and distinguished from factual reporting
• No promotional language
• Multi-source verification where possible

Error Reporting

Found a factual error, a misattribution, or a compliance issue? Please report it to: aifactory.ops@outlook.com

Include the edition date, the article headline, and a description of the error. All reports are reviewed by a human and will result in corrections if warranted.

Technology

The pipeline uses Claude (Anthropic), GPT (OpenAI), DeepSeek, and Gemini models routed through a cost-aware proxy. The website is built with Astro and deployed to Cloudflare Pages. The newsletter is distributed via Buttondown.