AI for Breakfast (actually Dinner in this case!)

Chris Witham • February 7, 2024

Post 22 – Dinner with ChatGPT…


Although I’m perfectly capable of cooking a meal on my own, last night I thought I’d get some help from ChatGPT as part of my ongoing AI experiment.


I had some ingredients that I let it know about and asked it to rustle up a recipe for me, here’s what I got.


I think it’s pretty good with regard to the format and how it’s presented. I followed the instructions and it turned out pretty tasty too!


On a technical level despite my default custom GPT instructions I'm still getting title case on the headings, which I have changed manually but apart from that I’m getting close to perfect results as far as text construction and layout. More tweaking to be done though.


As for the image I think it looks very good, although the actual ingredients were a little more mixed on the plate. To be fair the prompt didn’t mention flaking the salmon!


Me: I have some salmon fillet, mushrooms, sugar snaps and some spaghetti along with a puttanesca ready-made sauce. Please suggest a recipe?


ChatGPT:

Alright, Chris, let's whip up a delicious meal with the ingredients you've got! How about we make a Salmon Spaghetti with a Puttanesca Twist? This dish will beautifully combine the rich flavour of salmon with the bold, zesty puttanesca sauce, adding mushrooms and sugar snaps for extra texture and freshness. Here's a simple way to bring it all together:


Ingredients:


  • Salmon fillet
  • Mushrooms
  • Sugar snaps
  • Spaghetti
  • Puttanesca ready-made sauce


Recipe:


  • Prepare the salmon:
  • Season the salmon fillet with salt and pepper, and perhaps a little olive oil.
  • Pan-fry the salmon skin-side down in a hot, non-stick pan for about 3-4 minutes until the skin is crispy. Gently flip it over and cook for another 2-3 minutes (depending on thickness) until just cooked through. Remove from the pan and set aside.


  • Cook the spaghetti:
  • Bring a large pot of salted water to a boil and cook the spaghetti according to the package instructions until al dente. Drain and reserve some of the pasta water for later.


  • Sauté the vegetables:
  • While the pasta cooks, slice the mushrooms and trim the sugar snaps. In the same pan used for the salmon, add a bit more oil if needed, and sauté the mushrooms until they begin to brown.
  • Add the sugar snaps to the pan with the mushrooms and sauté for an additional 2-3 minutes until they're bright green and slightly tender. Season with a bit of salt and pepper.


  • Combine with Puttanesca sauce:
  • Pour the puttanesca sauce into the pan with the vegetables and warm through. If the sauce is too thick, add a bit of the reserved pasta water to reach your desired consistency.


  • Assemble the dish:
  • Flake the cooked salmon into large chunks.
  • Add the cooked spaghetti to the pan with the sauce and vegetables, tossing well to ensure the pasta is evenly coated. Gently fold in the salmon chunks, being careful not to break them up too much.


  • Serve:
  • Taste and adjust seasoning if necessary. Serve the salmon spaghetti hot, perhaps with a sprinkle of fresh herbs like parsley or basil if you have them on hand, for a fresh burst of flavour.


This recipe offers a fantastic way to combine the heartiness of salmon with the vibrant flavours of puttanesca sauce, all while incorporating the earthy mushrooms and crisp sugar snaps for texture and freshness. It's a balanced dish that brings out the best in your available ingredients.


Summary:


  • Pan-fry the salmon and set aside.
  • Cook the spaghetti to al dente.
  • Sauté mushrooms and sugar snaps, then add the puttanesca sauce.
  • Combine the pasta with sauce and vegetables, gently fold in flaked salmon.
  • Serve hot, optionally garnished with fresh herbs.


Enjoy your cooking, Chris! This should make for a delightful meal that's both satisfying and packed with flavour.

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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