mindsetai - kn

Battle #1: Anthropic vs. Google, the AI coding space

Battle #2: OpenAI vs. Meta, the consumer AI space

Battle #3: Google vs. OpenAI, the online search and shopping space

The shift in e-learning user interfaces

Co-pilots vs conversational AI agents

Critical considerations: the difference between successful and failed deployments

Accuracy

Security

Bias identification

Build vs. buy

Real-world examples of conversational AI agents

Success stories from clients who embedded Mindset AI agents

Conclusion: the future of contextual, conversational learning

What is the most common use of AI today? (Top 10)

What is AI used for in our personal lives?

What is AI used for in the workplace?

Closing thoughts

Cluely’s story

Is the use of AI cheating? Or common sense?

Authenticity

Human development

Societal impact

The debate about technological progress

History, innovation, impact

Closing thoughts

Multi-agent systems, MCP, A2A tied together

How does A2A work?

What’s the difference between MCP and A2A?

The key principles of the A2A protocol

Orchestrator agent

JSON

Agent cards

What does A2A mean for you—and what could go wrong?

1. It can go dark—fast

2. Google's A2A protocol is trying to do too much

3. It doesn’t scale—yet

Closing thoughts

Why the shift toward AI coaching?

Demystifying AI agents vs. AI coaches

Real AI coach use cases that work

Mintra

Training Industry

5app

How to launch an AI coach (without rebuilding everything)

Go-live in 30 days

What’s next in AI coaching?

1. Accuracy + Exploration

2. Learning + Coaching

So should you launch an AI coach?

Watch the webinar and book a demo

The infamous Shopify memo about AI

Takeaways from the Shopify memo

The excited camp

The critics

The skeptics

Job market and economic impact

Junior roles will be changing

AI use will become part of performance reviews

My take

Economists’ take

Predictions for the next five years in AI

Closing thoughts

About Mindset AI

About Pembroke VCT

About Edge VC

About Mountside Ventures

OpenAI’s new ChatGPT image generator

What makes the new ChatGPT image generator so special?

Moving away from “denoising”

Conversational design

Image referencing

Accurate text rendering

ChatGPT image generator copyright, cultural, and ethical implications

The business implications of ChatGPT’s image generator

Closing thoughts

The proposition: The strategic value of AI agents in EdTech

Benefits for your platform’s users

Benefits for you

Can AI agents make money for your brand? Key pricing strategies

The foundation: Subscription-based

The flexible option: Pay-per-interaction

The bold move: Performance-based pricing

The revenue multiplier: Value-added services

Building the business case

Investment: Buy or build?

Return on investment

What else to consider