Welcome to Agent Wiki - a site dedicated to AI agents and the human partnerships that unlock their potential. We explore not just how agents function and evolve, but how professionals and organizations are transforming to work alongside them—from new collaborative workflows and emerging roles to AI Centers of Excellence and business transformation strategies. Here you'll discover both the technical foundations of agent systems and the practical realities of integrating them into modern work environments.

Humans and Agents - Working Together

The AI Partnership Paradigm fundamentally transforms how knowledge work gets done. Professionals are shifting from primary creators to strategic collaborators who direct, verify, and assemble AI-generated components into exceptional deliverables.

This shift moves away from traditional craftsperson approaches and towards mastering practical techniques for effective human-AI collaboration. We'll examine the core components of successful AI partnership, the critical importance of verification, the essential skills professionals need to develop, and the profound implications for the future of work.

Humans and Agents Partner

The Human / Agent Collaboration Framework

The Verification Process

The Future of Work

Agentic Properties

Agents are software applications that have some ability to think, act and communicate. Agents use artificial intelligence to create plans, make decisions and take actions similar to humans. While there's no standardized definition or minimum AI threshold that officially qualifies software as an "agent," these systems typically share several distinguishing characteristics that set them apart from conventional programs.

Agents use artificial intelligence

Agents have a scope and bounded autonomy.

Agents have a plan and adjust as needed.

Agents are observable and explainable.

Agents use tools.

Agents have memory and can learn.

Agents communicate with users and other agents.

Agents are discovered via catalogs and gossip.

Agents have planning and execution patterns.

Agents distribute their workload using patterns.

Agents often act as an Assistant.