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The new UX challenges of agentic AI

The mother of all demos

Today’s UX challenges

Frameworks for human-AI interface design

Conclusion

Overview: Agentic AI vs. AI agents

What’s the difference between Agentic AI and AI agents?

Agentic AI in e-learning

AI agents vs. other paradigms & tools: The comprehensive definition list

What is the difference between an AI Agent and a Chatbot?

What is the difference between an AI Agent and a Virtual Assistant?

What is the difference between an AI Agent and an AI Model/LLM?

What is the difference between an AI Agent and Generative AI?

What is the difference between an AI Agent and ChatGPT/GPT?

What is the difference between an AI Agent and Copilots?

What is the difference between an AI Agent and Workflow Automation?

What is the difference between an AI Agent and a Bot?

What is the difference between an AI Agent and Robotic Process Automation (RPA)?

What is the difference between Agentic AI and Multi-Agent Systems?

What is the difference between Agentic AI and Compound AI?

What is the difference between an AI Agent and Causal AI?

What is the difference between an AI Agent and RAG?

Other agentic systems: Workflow & GUI agents

Workflow vs. GUI agent

Workflow agents

GUI agents

Future Trends in AI: Collaboration Between Humans and Machines

What are AI agents?

Understanding agentic systems: Practical examples

Core components of AI agents

Deep Research agent

Research agent in action

GUI Agents

The future of AI agents

The future of work

How has the definition of agentic AI changed?

What is the origin of agentic AI: Early foundations (1950s-1980s)

The first problem solvers

The first chatbot: ELIZA

Two competing schools of thought

How did advancements in technology influence the progression of agentic AI?

The expert systems era (1980s-1990s)

The machine learning revolution (1990s-2000s)

Deep Learning Breakthrough (2010s)

The Four Stages of AI Development

Stage 1: Reactive machines

Stage 2: Limited memory

Stage 3: Theory of mind

Stage 4: Self-aware AI

An alternative for the four stages of AI

What role did early AI agents play in the evolution of autonomous systems?

From static to dynamic decision-making

Technology integration

Why this matters for EdTech

Looking Forward: The future of agentic AI

Prediction 1 - The shifting landscape of work: augmentation vs. replacement

From executors to strategists

The emergence of agent managers

Upskilling and adaptability

Prediction 2 - The decline of traditional SaaS: The rise of vertical agents

From generic software to purpose-built AI agents

Prediction 3 - The importance of interface design as the next frontier: Managing human-AI collaboration

Conveying information from a human to an agent

Conveying information from an agent to a human

Prediction 4 - The rise of multi-agent systems: Truly scaling agentic technology and performance

Prediction 5 - The dark side of agents: Risks and ethical concerns

Prediction 6 - Experimentation in business models: Aligning pricing with value

Prediction 7 - GUI automation: Human-computer interaction

Prediction 8 - The Decline of Model Moats and Companies Focusing on the Application Layer

Conclusion

The problem learners face

The problem for businesses

The old way of solving broken search

AI agents for better search

What implementation looks like

The outcomes

Here is a breakdown of OpenAI's announcements:

Speed & intelligence combined

Improved vision 

Improved non-English language capabilities 

Increased context window

Multi-modal level up (coming soon)

What does all of this mean for Mindset customers?

Get answers quicker than before

Speak to agents

More accurate search through conversation

More accurate Search, across all your data sources

Search for images and ask questions about them

Next Steps

What makes Google one of the most popular learning tools?

What can my learning platform replicate from Google?

Crowd-sourced reliability

AI summaries and relevance

Personalisation and context

Categorisation

Discoverability

How could such AI-driven interactivity translate to a business context?

How AI can help you get your content seen

What if your audience saw more of what they liked?

But how do you know if your content is working for you?