The author details how they assembled a multi‑agent AI research team on the Moxt platform, defined specific roles, ran a full literature‑review workflow for Harness Engineering, compared it with a prior OpenClaw‑Discord setup, and highlighted observability and scheduling benefits.
The article evaluates Anthropic's Claude Sonnet 4.6 as a comprehensive research assistant, detailing its performance on literature surveys, open‑source code analysis, algorithm implementation, cost savings, benchmark scores, and practical limitations across multiple scientific workflows.
The article demonstrates a step‑by‑step workflow that treats Claude Code as a high‑quality information processor, feeding it curated open‑source and closed‑access papers via Zotero, using plan mode to learn journal style, generating Markdown guides, and finally producing a 45‑page, Nature‑style review ready for top‑tier journal submission.
A lightweight, real‑time platform called Awesome AI Agents Live, built by East China Normal University students, aggregates the latest AI Agent research, offering targeted navigation, structured classification, multi‑dimensional sorting, and concise paper summaries for researchers, engineers, and students.
This article reviews the main insights from the book “Efficient Paper Writing: AI‑Assisted Academic Writing”, covering AI prompting frameworks, the value of expert knowledge, practical research‑method tips, and how AI can boost productivity while preserving scholarly rigor.
This article reflects on the author’s thesis preparation, offering a detailed literature review of mathematical modeling concepts, analyzing the definition of modeling examples in high‑school textbooks, and outlining a three‑step research plan to evaluate and classify such examples for future educational design.
