AI for Breakfast

Chris Witham • April 16, 2024

Post 91 - The future at your fingertips: Exploring built-in AI in mobile devices


Due to meetings and some Ad deadlines I turned 100% to ChatGPT due to lack of time! Full transparency, my custom GPT running on ChatGPT 4 wrote all of the article below, I just tidied it up a bit and made sure it made sense!


I definitely think the latest version has got better and it's following my prompt instructions much closer than it did before.


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As technology continues to advance, the integration of artificial intelligence (AI) into our daily gadgets is becoming increasingly commonplace. Rumours are swirling that the upcoming Apple iOS 18 might feature built-in AI capabilities, a move that could significantly change how we interact with our mobile devices. Let’s explore what this means for users and the broader implications for privacy and functionality.


Understanding AI in mobile devices

Built-in AI refers to artificial intelligence technologies embedded directly into a mobile device’s operating system. This can enable more sophisticated features such as:


Enhanced personalisation: AI can learn from your usage patterns to tailor recommendations and settings to your preferences.

Improved efficiency: From battery management to optimising device performance, AI can manage resources more effectively.


Advanced user interfaces: Voice assistants and predictive typing are just the beginning. Future interfaces could include more intuitive gestures and context-aware interactions.


Implications of AI on privacy and security

While the benefits are clear, the integration of AI into devices we carry daily raises significant privacy and security concerns:


Data privacy: With devices collecting and analysing more personal data, ensuring this information is handled securely and transparently is crucial.


Security risks: More sophisticated AI systems could potentially become new targets for cyberattacks.


Potential for enhanced functionality

Despite the challenges, the potential for improved device functionality is immense:


Accessibility features: AI can provide more adaptive accessibility options for users with disabilities, adjusting to individual needs in real-time.


Health monitoring: With AI, devices could better track health metrics and provide early warnings for potential health issues.


The broader impact

The integration of AI into mobile operating systems like iOS 18 could set a new standard for mobile technology, pushing competitors to also innovate. This could lead to a rapid evolution in mobile tech, much like the leap from feature phones to smartphones.


In conclusion

The possibility of built-in AI in mobile devices, like the rumoured feature in iOS 18, presents both exciting opportunities and significant challenges. As we move towards a more interconnected and intelligent technology landscape, it’s crucial to consider the implications on our privacy and the way we interact with our devices.

Lines of colorful computer code on a dark background.
By Chris Witham December 11, 2025
Where AI really helps your Business If you spend any time on LinkedIn or X, you’ll have seen bold claims about how AI can help you build software in a matter of days. There’s a lot of excitement, a lot of big promises, and a fair bit of confusion for business owners trying to work out what’s real. A new term doing the rounds is “Vibe Coding” —the idea of describing what you want to an AI assistant and having it generate the code for you. It’s becoming popular because it can move things forward quickly and help people explore ideas they wouldn’t have been able to create alone. And the truth is, it does have its place. The challenge isn’t the technique. It’s the expectation that AI will automatically deliver finished, reliable, production-ready tools without any real design or thinking behind them. AI accelerates the work you already do well Used properly, AI can: • Remove huge amounts of repetitive work • Speed up drafting and iteration • Generate working prototypes in hours • Help non-technical people explore ideas • Improve documentation, planning and communication This is where it shines. But it still needs clarity, structure, and well-designed processes around it. It’s like having a very fast assistant rather than a fully formed development team. Why many AI projects don’t deliver what people expect Independent research this year showed a clear pattern: • Many early AI initiatives failed to produce measurable business value • Companies abandoned AI ideas because they couldn’t scale or integrate them • The gap between an impressive demo and a reliable tool is larger than people thought This doesn’t mean AI is overhyped. It means teams jumped straight to execution without the groundwork. The technology isn’t the issue. It’s the approach. Small businesses don’t need Enterprise Platforms Most UK small businesses don’t need to build a full software product. What they actually need is: • Better workflows • Faster content generation • Clearer communication • Improved customer support • Tools that reflect the way they work • Consistency and repeatability AI is perfect for this. A custom GPT trained on your tone, your documents and your processes can become: • A writing assistant • A customer support helper • A knowledge base navigator • An internal guide for staff • A quality-control layer • A process automator No engineering team needed. No complex infrastructure. No stress. Where AI builds real value right now AI works best when it’s part of a thoughtful, guided approach: • Define the outcome you want • Build a lightweight prototype (AI helps here) • Add structure, rules and guardrails • Connect it to your real workflow • Test it with real users or staff • Iterate until it feels natural You can still move fast. You just avoid building something brittle that breaks the moment it’s needed. The key insight: AI doesn’t replace expertise, it amplifies it AI is at its strongest when someone knowledgeable decides: • What it should do • What it shouldn’t do • How it should behave • What tone it should use • How it fits into the business • What checks and constraints matter That’s where tools like custom GPTs genuinely shine. They’re not software products in the traditional sense. They’re flexible assistants shaped around your business. With the right design, they can save huge amounts of time and deliver consistent, practical value without any of the complexity of building a full system. A more useful way to think about AI in 2026 Instead of “AI will build everything for you”, a healthier mindset is: AI speeds up the work, but you set the direction. For small businesses, that’s more than enough to make a real difference.
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