Priorstack is written for AI/ML developers and engineers — people building with large language models, agent frameworks, and inference systems who want clear, sourced explanations instead of rehashed marketing copy.
What we publish
Articles fall into two tracks:
- AI/ML Concepts — explanations of research techniques and papers (e.g. speculative decoding, Mixture-of-Experts routing), grounded in the original papers and official technical sources.
- Practical Guides — troubleshooting and how-to content for real tools (LangChain, LangGraph, and similar), grounded in official documentation and real GitHub issues/discussions.
How articles are made
Each article goes through a research-and-writing pipeline: sources are gathered from arXiv, official documentation, and GitHub; a draft is written and cross-checked against those sources; and every article is reviewed for factual accuracy before publishing. Sources are linked at the end of each section so you can verify claims yourself.
Who’s behind this
Priorstack is written and edited by JH. If you spot an error, have a correction, or want to suggest a topic, see the Contact page.