Confused by AI? You’re not alone.
In this episode, we strip back the jargon and get crystal clear on what AI really is, how prompts work, why different platforms perform differently, and what "meta prompting" means for your productivity.

You'll learn:

• Why AI isn’t magic — it’s prediction

• The power of a well-crafted prompt

• The strengths of ChatGPT, Claude, Gemini, Perplexity, Copilot and more

• The terms you keep hearing (LLM, tokens, context windows, agents — all decoded)

• A sneak peek into Meta Prompting — and why it’s the next leap forward

Whether you're new to AI or need to sharpen your foundation, this is your no-nonsense AI 101.

Resources, frameworks & tools: promptengineeringcookbook.com

This week, Joel stands in front of a wall of nut bars at Coles, paralysed by choice. But instead of spiralling into snack-based despair, he takes a photo, sends it to ChatGPT, and gets the answer in seconds.

What starts as a supermarket dilemma turns into a deep dive into the rise of Everyday AI, the quiet, context-aware assistants now influencing everything from what we eat to how we sleep, to where we invest.

We explore how frictionless AI is reducing decision fatigue, empowering better choices, and reshaping behaviour at scale… without anyone really noticing.

Featuring real-world examples across retail, health, finance, and education, Joel unpacks how ambient intelligence is already here, and why the next big AI revolution isn’t enterprise-scale, but decision-scale.

Highlights:– What happened in the snack aisle– Why 73% of people use AI daily without knowing it
– 4 sectors where Everyday AI is already winning
– The 3 biggest barriers to adoption
– A simple prompt to bring AI into your daily workflow

Want to try these tools? Visit promptengineeringcookbook.com for free resources, including Joel’s AI Comparison Tool.

Listen now and find out how a nut bar revealed the future of decision-making.

Artificial intelligence was once a buzzword. Now, it's a background presence in your phone, your inbox, your calendar, whether you realise it or not. However, despite all this progress, AI tools still feel isolated. Conversations don’t carry over, tasks restart from scratch, and systems don’t talk to each other.

That’s about to change.

In this debut episode of Decoded: AI for Everyone, we explore two emerging protocols — Model Context Protocol (MCP) and the Agent-to-Agent Protocol (A2A) — that are set to redefine how AI works across your life. These standards enable AI to retain memory, context, and the ability to coordinate in the background, quietly making your digital life smarter and smoother.

Imagine an AI that:

• Doesn’t ask you to repeat yourself

• Works across apps, devices, and systems

• Anticipates needs and completes tasks — often without a prompt

This is AI as silent infrastructure. Not flashy. Not noisy. Just helpful.

We break down what MCP and A2A are, why they matter, and how they’re shifting AI from disconnected assistants to collaborative agents, reshaping your daily workflow, your productivity, and even your relationship with technology.

In this episode:

• What MCP and A2A actually do

• Real-world examples you’ll notice

• Why this shift matters for individuals and businesses

• How to prepare for a world of connected AI agents

Want to dive deeper? Visit www.promptengineeringcookbook.com for guides on MCP, A2A, and more.