Understanding Stochasticity in Agents
When we interact with AI agents, we often expect the same input to always produce the same output. […]
Mike
Organizing Multi-Agent Teams
When building multi-agent systems, structure matters. A team of AI agents is much like a human team: its […]
What Are Multi-Agent Systems?
A multi-agent system (MAS) is an environment where multiple AI agents work together — or sometimes in competition […]
Limitations of AI
Artificial Intelligence is often presented as transformative and almost limitless in potential. Yet, like any tool, AI has […]
Data, Agentic AI and CBT
From Feelings to Data: The Link Between Data Maturity, Agentic AI, and CBT Organizations today face a challenge […]
Neurologic Music Therapy (NMT)
At GTLLI, we love exploring the intersections of science, health, and the arts. One area gaining worldwide attention […]
High Impact Agentic AI
If implemented, would it significantly impact the organization? Will it matter? Will it make a difference? Will it […]
Is Agentic AI Worth It?
Is Agentic AI worth the effort? There is a cost to it. Is your organization ready for the […]
Highly Feasible AI Agents
We want to dive into the creation of AI agents, but first we must ask ourselves if it […]
Finding Agentic Opportunities
In chapter 8 of Pascal Bornet’s book Agentic Artificial Intelligence he discusses how to be successful in your […]
SPAR: Understanding AI Agents
Our previous post intoduces SPAR. Why SPAR Matters for AI Agents SPAR highlights how AI agents go beyond […]
Data Flow Diagrams (DFDs)
A Data Flow Diagram (DFD) is a simple but powerful tool for showing how information moves through a […]