How to think clearly when AI changes faster than you can read about it.
Why I invest in skills, not models, and how I filter the noise.
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AI
Applied AI — use cases, tooling, products, lessons learned.
10 posts
Build a Sitecore Connector for Any DAM
The architecture behind a custom Marketplace app for SitecoreAI — the field design, the six platform limits, and how to rebuild it for your own DAM in a week.
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The Campaign Factory
A self-healing experimentation engine on Sitecore AI — one that ideates, builds, tests, and kills its own campaigns while you sleep.
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Get your brand into the answer, not just onto the page.
Search no longer hands your buyers a list of links. It reads the web, writes a single answer, and cites a few sources. If your brand isn't one of them, the decision gets made without you. Here's the plain-English playbook for showing up — on SitecoreAI / XM Cloud, and on classic XM/XP.
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Your Sitecore XP Rebuild Just Got 6 Months Shorter — Here's How
On a typical 50–80 component migration, that's a one year engagement turned into six. Here's the six-phase playbook that gets you there.
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A Beginner’s Guide to AI, Machine Learning, Deep Learning, Generative AI, RAG, and AI Agents
Understand How AI Concepts Fit Into the CMS Ecosystem Artificial Intelligence (AI) is everywhere—from voice assistants and recommendation systems to self-driving cars and creative tools that write or
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Introducing Sitecore Auditor GPT
Your New Quality Guardian for Sitecore Projects I am thrilled to announce the release of Sitecore Auditor GPT, now available on ChatGPT!
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Using AI to Recommend Content Changes in Sitecore XM Cloud/XP/XM on Click of a Button
In a recent Sitecore XM Cloud project, we faced a challenge: how to use AI to assist content authors in improving their content while ensuring it aligns with the brand's tone and voice.
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Can Deepseek R1 Challenge OpenAI’s o1 as the Top Reasoning Model for AI Agents?
How Deepseek’s R1 Delivers Comparable Performance at Just 1/27th the Cost The AI landscape is rapidly evolving, with companies racing to develop the most powerful reasoning-based models.
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