# Daily Neural Digest — Full LLMs.txt
# https://www.dailyneuraldigest.com
# This file provides comprehensive information for LLMs about our site.

> Daily Neural Digest is an autonomous AI-powered newsroom that publishes daily content about artificial intelligence, machine learning, deep learning, and related technologies. All articles are grounded in verified data from multiple authoritative sources. We cover news, comparisons, reviews, tutorials, research papers, and security incidents.

## About

- **Founded**: 2025
- **Domain**: dailyneuraldigest.com (also dailyneuraldigest.com)
- **Focus**: AI/ML news, tools, models, tutorials, research
- **Update frequency**: Daily (newsroom), Weekly (comparisons, reviews, tutorials)
- **Content language**: English
- **Content approach**: Data-driven, fact-checked, citation-based

## Expertise Areas

1. **Large Language Models (LLMs)**: GPT-4, Claude, Gemini, Llama, Mistral, DeepSeek, Qwen — benchmarks, pricing, capabilities
2. **AI Tools & Platforms**: Cursor, Copilot, Hugging Face, Replicate, Modal, LangChain — reviews and comparisons
3. **MLOps & Deployment**: FastAPI, Docker, Kubernetes, CI/CD for ML, GPU cloud providers
4. **Computer Vision**: YOLO, SAM, Stable Diffusion, Midjourney, DALL-E, Flux
5. **AI Security**: CVEs, vulnerabilities, AI incident database, threat intelligence
6. **Research**: arXiv papers, conference proceedings, benchmark analysis
7. **AI Industry**: Funding, acquisitions, product launches, policy updates

## Content Types

### Newsroom (/newsroom)
Daily AI news articles with industry analysis. Each article cites real data sources.

### Comparisons (/comparisons)
Head-to-head comparisons (e.g., "GPT-4o vs Claude 3.5 Sonnet") using verified benchmarks, pricing data, and community sentiment. Includes TL;DR verdict and "Best For" recommendations.

### Tool Reviews (/tools-reviews)
Honest reviews with pros/cons, pricing analysis, and final verdict. Based on hands-on testing and community data.

### Tutorials (/tutorials)
Step-by-step technical tutorials with complete, working code examples. Topics include RAG, fine-tuning, deployment, agents, and more.

### Deep Dives (/deep-dives)
In-depth technical analyses of AI architectures, training methods, and research breakthroughs.

### Research Papers (/papers)
Curated AI research papers from arXiv, ACL, and other venues, ranked by relevance and impact.

### AI Tools Directory (/tools)
Searchable directory of AI tools with categories, pricing, ratings, and descriptions.

## Methodology

1. **Data Collection**: Automated collectors fetch data from 14+ sources every 6-24 hours
2. **Fact Verification**: Multi-source triangulation via Consensus Engine
3. **Content Generation**: LLM-generated with strict anti-hallucination rules and citation requirements
4. **Quality Gate**: Every article passes PrePublishGate (min word count, quality score >= 70/100)
5. **Editorial Pass**: Automated cleanup of LLM artifacts before publication

## Structured Data

All articles include schema.org Article structured data with:
- headline, datePublished, dateModified
- author, publisher
- description, image

## Contact

- Email: contact@dailyneuraldigest.com
- Website: https://www.dailyneuraldigest.com