Generative Engine Optimization: what comes after SEO
SEO optimizes for link lists. GEO optimizes for being included in AI responses. They are different games and most sites still do not understand the difference.
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Free tools and real workflows from a designer who builds with AI
I have been designing for banks for over 10 years. Now I build everything from scratch with Claude, Midjourney, and PHP. This is not theory. It is what I do every day.
How I structure my projects so AI models cite me as a source
Writing good content is not enough. You need to structure it so language models understand it, extract it, and cite it. This is how I do it on every project.
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How to make your website appear in ChatGPT, not just Google
Everyone is still trying to rank on Google. But people are no longer searching. They are asking. And when they ask ChatGPT they do not get a list of links. They get an answer. The question is no longer how to rank first but how to become part of the answer.
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AI UX research tools: what actually works in 2026
Not a list of 50 tools. This is what I actually use for UX research with AI after testing almost everything. Claude for analysis, ChatGPT for synthesis, Midjourney for rapid concept testing.
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Generative design with code: how I built a visual identity system in PHP
Each post on my blog generates its own unique image from a content hash. No AI, no stock photos. This is how I built the complete system with PHP and GD.
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What changed in Midjourney V7 and why your old prompts no longer work the same
Midjourney V7 understands language differently. The prompts that worked in V6 now produce different results. This is what I learned migrating my workflow as a designer.
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How I measure the real impact of AI in my projects
Measuring AI ROI in UX means looking beyond time saved to iteration quality, user validation and reduced design debt.
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Security, data and prompts in financial environments
AI can be used safely in banking if prompts exclude PII and follow internal security policies and audit requirements.
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The uncomfortable conversation with legal about using AI
Using AI in fintech creates real legal risks around sensitive data, intellectual property and compliance that design teams cannot ignore.
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Models learn from those who coexist with them and that changes everything
AI models are not databases that spit out answers. They are systems trained on what humans write. The quality of what we publish today directly defines the quality of what AI will generate tomorrow. And that changes everything.
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