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AI Strategy
Practical articles on AI and the cloud it runs on, for people who'd rather have specifics than buzzwords.
AI Strategy · 10 Jun 2026
No-Code AI Tools Like Lovable: When They're Enough, and When They're Not
No-code AI builders like Lovable are great for prototypes. But a prototype that quietly becomes load-bearing is where the trouble starts. When to build it yourself, and when to bring in help.
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AI Strategy · 10 Jun 2026
The 2026 AI Model Landscape: Which One Should Your Business Use?
Claude, GPT, Gemini and Grok are closer than the marketing suggests. What each is good at, what they cost, and why the smart move for most businesses isn't picking just one.
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AI Strategy · 10 Jun 2026
How to Maximise the ROI on Your AI Project (and Land in the 5% That Works)
Most AI projects never pay off, and it's almost never the technology's fault. The four decisions, made before any code is written, that separate the projects that return money from the ones that quietly stall.
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AI Strategy · 10 Jun 2026
Train or Fine-Tune Your Own AI Model? When It's Worth It, and When It Isn't
'Should we train our own AI?' is usually the wrong question. A plain guide to the difference between training, fine-tuning and just using your own data, and when each is actually worth it.
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AI Strategy · 10 Jun 2026
Should You Run Your Own LLM? When Self-Hosting Pays Off, and When It Doesn't
Self-hosting an AI model sounds cheaper and more private. Usually it's neither. A business-first guide to API vs managed vs self-hosted, and the costs people forget to count.
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The AI Adoption Playbook
If you're reading up before making a move, start here: picking a use case, getting your data ready, and what AI actually costs to run.
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