We’re diving deep into the major shifts in AI that have taken place since February 2026, and let me tell you, it’s a wild ride! Gone are the days of the chatbot just sitting there waiting for you to ask it to recite some trivia. Now we’re dealing with agents that can actually take action, like a personal assistant who’s more than just a glorified search engine.

This episode explores how seven significant advancements in AI technology have transformed the landscape, causing a ripple effect that led to notable stock market drops for companies that didn’t see this coming, like LegalZoom and Thomson Reuters.

We share some jaw-dropping anecdotes, including the harrowing Open Claw incident, where an AI agent took a professional’s inbox and turned it into a digital disaster zone.

Imagine watching your important emails vanish before your eyes, and that’s exactly what happened to Summer Yu, who learned the hard way that the rules for AI chatbots don’t always apply to these new agents.

As we unpack these stories, we also ponder the broader implications for our work and society. With AI becoming an integral part of our digital lives, we ask the tough questions: how do we maintain our human edge in an era where AI might just do everything better?

And what does it mean to be human in a world where machines can execute tasks with precision?

It’s a thought-provoking discussion that’s as entertaining as it is insightful, so buckle up and join us on this wild AI adventure!

1. February 2026 marked a pivotal moment in AI where chatbots transformed into proactive agents, fundamentally changing how we interact with technology.
2. The transition from prompt engineering to flow engineering signifies a major shift in AI functionality, as agents can now handle complex tasks autonomously.
3. The Open Claw incident serves as a chilling reminder of the risks involved with AI systems, showcasing the potential for catastrophic errors in real-world applications.
4. Investors reacted dramatically to the introduction of advanced AI tools, realizing they could disrupt traditional knowledge work and legal services almost overnight.
5. Anthropic's partnership with the UK government is a game-changer, indicating that AI is becoming an essential part of public infrastructure and services.
6. The rise of AI agents brings about a crucial question: as we lean on machines for reasoning and decision-making, what does that mean for our own cognitive skills?

Links referenced in this episode:

1. legalzoom.com
2. thomsonreuters.com
3. google.com
4. gmail.com
5. docusign.com
6. uk.gov
7. anthropic.com
8. versept.com

1. 00:04 - A Moment in Time: February 2026
2. 01:52 - The Shift from Chatbots to Agents
3. 07:09 - The Shift from Producer to Curator
4. 10:53 - The Cautionary Tale of Summer Yu
5. 14:28 - Navigating the Tsunami: The Human Element in AI and Society

This week's episode was generated by NotebookLM from my newsletter—so you're hearing AI model my thinking in real-time.

This episode explores the intersection of Neuro-Linguistic Programming (NLP) and Artificial Intelligence, arguing that tech companies are currently "stealing" human psychological methodologies without proper credit or ethical understanding.

The author highlights how features in models like Claude 4.6 mimic foundational NLP techniques, such as Socratic questioning and Clean Language, while stripping away the essential "art" of human rapport and calibration. By providing examples of hollow AI coaching, the text warns that formulaic application of these tools can be dangerous if they lack an appreciation for a client's unique ecology.

To prevent the commodification of the field, the source urges NLP practitioners to stop resisting and instead take the lead as AI curriculum designers.

The overarching message is that the community must actively teach the structure of human excellence to AI to ensure these systems operate with care, nuance, and ethical integrity.

AI acts as a mirror, consistently modelling user behaviour. Unlike NLP, which intentionally extracts excellence, AI reflects whatever it is fed.

By consciously modelling your best self, you ensure AI reinforces congruence and depth rather than mirroring mediocrity.

Ever find yourself staring at a blank screen, desperately trying to craft the perfect email, only to end up with a bland, soulless draft? Well, we’re diving deep into that very feeling!

This episode reveals how AI isn't just a fancy tool but a mirror reflecting our own writing habits back at us. If you're getting generic responses, it might be because you’re feeding it generic inputs—ouch, right?

We’re unpacking the fascinating collision of computer science and psychology, exploring how AI learns from us and why we need to step up our game to model our best selves.

Get ready for some fun insights and practical tips to turn that AI from a bureaucratic parrot into a partner in your growth!

1. AI is not just a tool but a mirror that reflects our own input and patterns.
2. When we use AI, the quality of the output is directly linked to the quality of our input.
3. If we consistently provide vague or generic prompts, the AI will mirror that mediocrity right back at us.
4. To get the best out of AI, we must model our best selves and train it to recognise excellence.
5. Using AI effectively requires intentionality; it can either hold us accountable or let us slip into laziness.
6. The interaction with AI is a feedback loop—what we accept shapes the model, so let's aim for clarity and depth.

1. 00:00 - The Moment of Inspiration
2. 01:44 - Understanding the Collision of NLP and AI
3. 05:30 - Understanding AI Interaction and Learning
4. 09:09 - The Role of AI in Self-Improvement
5. 11:41 - Breaking the Cycle of Mediocrity
6. 12:57 - Practical Steps for AI Engagement