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Case report
2026
Building Agentic AI Research Teams
This seminar explores how frontier AI systems can be organized into specialized research 'teams' or multiple-agent workflows that support orchestrated literature review, analysis, synthesis, writing, and verification all under human control. It combines conceptual depth with practical demonstrations to help researchers...
M. Zyphur
· 0 citations
Case report
2026
AI Multi-Agent Workflows in R
This workshop covers the principles and practice of building multi-agent LLM workflows in R using the mini007 package and best practices for reproducible, research-ready automation.
Fodil Ihaddaden
· 0 citations
Case report
2026
Agentic AI for Academic Research
This seminar explores how agentic AI can be integrated into academic research as a disciplined, verifiable, and human-led method rather than a generic productivity tool. It provides practical frameworks for responsible use, workflow verification, and multi-agent research design across literature work, analysis, writing...
M. Zyphur
· 0 citations
Aug 2026
From Command to Conversation: Integrating Agentic AI Into Command-Line Interfaces
The command-line interface evolves as LLM-based agentic systems add tool execution, planning, and persistent state, enabling autonomous multistep tasks while introducing new security risks today. This article synthesizes empirical evidence on productivity effects, examines current implementations, and provides practiti...
Mohit Shrivastava
· Computer · 0 citations
2026
Coding Agents Need Guidance, Not Faith
Coding agents powered by multimodal models are becoming increasingly capable. They explore and write code, fix tests, even coordinate subagents for complex changes. Used well, they expedite development and help deliver solid software at pace. Used badly, they produce confident nonsense at machine speed. Tim Clark gui...
Tim Clark
· ITNOW · 0 citations
Case report
2026
Building Autonomous AI Agents for Scientific Research
This workshop explores how autonomous AI agents can support scientific research in R, from conceptual distinctions between chat systems and agentic workflows to practical deployment with open-source tools (OpenCode). It is designed for researchers who want to use AI critically, securely, and effectively in data-intensi...
R. Maestri
· 0 citations
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