Trust as a virtue in NEO era
11/05/2026Chasing Jarvis: A Chronological Guide to AI Agents
AI agents · Context engineering · Leadership · Vanguard MBA
A chronological reading guide to Dr. Tali Režun’s Chasing Jarvis series and related writing, curated by COTRUGLI Business School. Follow the development of the ideas from August 2025 to September 2026: understanding language models, directing coding agents and maintaining the context needed to build useful products.
The selection follows the author’s Chasing Jarvis topic collection. Three entries belong to the named series; five are related reading. Each entry below includes a short editorial summary and a link to the author’s source page, where the available full-text editions are listed. Dates refer to the original works.
About the author: Dr. Tali Režun, Vice Dean for Frontier Technologies at COTRUGLI, teaches Chasing Jarvis as a practical AI agents program for MBA students and leaders. Explore the program.
· Related reading
1. Understanding Large Language Models: A Complete Manual
An accessible starting point for understanding how language models are trained, how they use context, and where their capabilities and limitations matter in practice.
· Related reading
2. The Year I Started Coding with AI: My Coding Agent Journey
A personal account of learning to direct coding agents, showing how clearer context and a different working method changed the author’s development process.
· Chasing Jarvis series
3. Chasing Jarvis: The Three Missing Pieces in AI Coding Agents
Režun explores the distance between today’s coding assistants and a collaborative partner that can discuss ideas, suggest alternatives and act while maintaining a continuous conversation.
· Chasing Jarvis series · Research paper
4. Chasing Jarvis: Can Technically Sophisticated Non-Programmers Deploy SaaS Applications Using AI Coding Agents?
A research paper examining non-programmer software development through the Lumina AI case study, with attention to context engineering, production readiness and verification.
· Related reading
5. Three Philosophies, One Goal; A Practitioner’s Comparison of Augment Code, Claude Code, and Codex CLI
A dated practitioner comparison of three approaches to coding-agent work, highlighting how task requirements, project stage and context preparation shape the choice of tools.
· Related reading
6. Context is the Code: The Complete Three-Phase Process for Building with AI Agents
A clarification of the author’s development method: context needs attention throughout planning, building and deployment, rather than being completed once at the start.
· Chasing Jarvis series
7. Chasing Jarvis: The Bottleneck Was Never the Code
The story and teaching approach behind Chasing Jarvis, connecting entrepreneurial experience with the practical work of turning ideas into deployed products using AI agents.
· Related reading
8. The Right Context, Not All of It
A lesson on selecting and maintaining useful context, covering documents, instructions, handoffs and knowledge that must remain usable across sessions and different agent tools.
From reading to practice at COTRUGLI
For business applications, questions to bring to your organisation and links to our programmes, explore AI for business leaders and entrepreneurs at COTRUGLI.
Use this guide to move from understanding AI to framing a useful business problem, choosing an approach and checking the result. Continue with Vanguard MBA, explore COlab’s AI and innovation projects, or read The NEO World: It’s Not Waiting for You.
Guide curated on 22 October 2026. Original works by Dr. Tali Režun; summaries prepared for this COTRUGLI reading guide. Tool comparisons describe the author’s experience at the original publication date.
