About
AIgentic publishes daily, data-driven coverage of agentic systems, LLM tooling, and AI infrastructure. Each post is built from a fresh fetch of primary sources (model release notes, agent-skills documentation, academic preprints, and standardized benchmark runs) and written to be easy to read for humans and easy to retrieve for machines.
What you'll find here
- Benchmark of the day (Mon, Wed, Fri): one standardized agentic task run across multiple frontier models, results published as structured tables with exact prompts and per-model cost.
- Skills (Tue, Thu): deep coverage of the agent-skills ecosystem (Claude Code skills, MCP servers, agent SDK patterns) with worked examples and file paths.
- Arxiv digest (Sat, Sun): filtered, scored summaries of recent agentic and LLM-tooling papers.
- Deep dive (every fourth Sunday): a longer-form pillar piece that synthesizes the month's coverage or stakes out a position.
How posts are produced
Posts are AI-drafted from a tight structural prompt, using data fetched fresh from primary sources at publication time. Every draft is edited by humans, who verify claims, correct errors, and sign off before publication. The pipeline is transparent: AI does the drafting, humans do the review.
Editorial approach
Posts lead with a short summary, name entities explicitly, and prefer tables and lists over prose where structure aids comprehension. Original data (benchmark scores, skill walkthroughs, paper rubrics) is surfaced in every post rather than rephrased from secondary sources.