Technical Talent →

AEM + AI Search: Building a RAG-Powered Chat Assistant On Top of Your AEM Content

Most site chatbots fail the same way: content gets exported into a separate vector database once, then quietly drifts out of sync with what’s actually published. This post shows how to build a RAG-powered assistant that treats AEM itself as the source of truth — re-indexing content within minutes of publish, retrieving with a hybrid of vector and keyword search, and having Claude answer only from cited sources, declining outright when the content doesn’t cover the question.

AEM + AI Search: Building a RAG-Powered Chat Assistant On Top of Your AEM Content Read More »

AEM + AI Localization: How to Translate, Review and Publish Content in 20 Languages Without 20x the Headcount

Global brands used to trade speed for market coverage launch in three languages fast, or twenty languages slowly. This post shows how AEM’s Translation Integration Framework, paired with Claude API and AI linguistic QA, removes that trade-off entirely: machine translation handles the first pass, AI QA flags only what needs a human eye, and linguists review translations in context instead of a spreadsheet cutting a twenty-market launch cycle from weeks to days.

AEM + AI Localization: How to Translate, Review and Publish Content in 20 Languages Without 20x the Headcount Read More »

AEM + AI Analytics: How Customer Journey Analytics Turns Page Data Into Next-Best-Action

Most AEM teams still check their analytics dashboard on Monday morning. This post shows how Adobe Customer Journey Analytics and Sensei AI turn that dashboard into a live decision engine one that reads every page, click, and drop-off across your AEM site in real time, automatically ranks the root cause, and routes the fix straight into Real-Time CDP and Adobe Target without waiting for a human to build a new experiment.

AEM + AI Analytics: How Customer Journey Analytics Turns Page Data Into Next-Best-Action Read More »

AEM + AI Experimentation: How to Run 100 A/B Tests Simultaneously Without a Data Science Team

Most AEM teams run fewer than five active experiments at any time not because experimentation is hard, but because generating good hypotheses, setting up variants, monitoring results, and promoting winners is slow enough that the backlog never clears. This article shows how to use Claude API, Adobe Target, and App Builder to run 100 simultaneous A/B tests automatically, from analytics-driven hypothesis generation to statistically significant winner promotion, with zero manual steps in between.

AEM + AI Experimentation: How to Run 100 A/B Tests Simultaneously Without a Data Science Team Read More »

AEM + AI Content Governance: How to Enforce Brand Standards Automatically Across Every Page

AI is making content teams faster than they have ever been a team that published twenty pages a month now publishes two hundred. That acceleration creates a problem nobody planned for: governance at the same velocity. This article shows how to encode brand rules as a Claude API system prompt, scan your entire AEM site nightly, and enforce compliance automatically with pre-publish gates, AEM Inbox workflows, and auto-unpublish for critical violations.

AEM + AI Content Governance: How to Enforce Brand Standards Automatically Across Every Page Read More »

AEM + Adobe Firefly: Generate, Approve and Publish AI Images Inside Your AEM Workflow

Every AEM content team is being asked the same question in 2026: can we generate images with AI? Adobe Firefly answers it with commercially safe output trained exclusively on licensed Adobe Stock, with Adobe indemnification on every generated image. This guide shows how to wire Firefly directly into your AEM workflow via App Builder: a Sidekick panel for authors to submit briefs, parallel variant generation across web, email, social and paid channels, an AEM Assets review and approval workflow with automated compliance checking, bulk campaign mode that produces 16 images in 8 seconds, and Edge Delivery publishing that keeps your Lighthouse score at 100. Brief to approved image in under two hours.

AEM + Adobe Firefly: Generate, Approve and Publish AI Images Inside Your AEM Workflow Read More »

AEM + AI for SEO: How to Automate Metadata, Structured Data and Content Optimization at Scale

Google’s AI Overviews changed the SEO game. Ranking in 2026 requires structured data, precise metadata, and content that answers questions better than anyone else across thousands of AEM pages. This guide shows how to automate meta title and description generation with Claude API, inject JSON-LD structured data via EDS blocks, add real-time SEO scoring to the AEM Sidekick, and run monthly content gap analysis against Google Search Console all without touching your Core Web Vitals.

AEM + AI for SEO: How to Automate Metadata, Structured Data and Content Optimization at Scale Read More »

AEM + AI Personalization: Delivering the Right Content to the Right Person at Scale

AEM AI Personalization Adobe Real-Time CDP Adobe Target Auto-Target Automated Personalization AEM Edge Delivery Services Adobe Experience Platform AEP Edge Network First-Party Data Third-Party Cookie Deprecation Cloudflare Workers HTMLRewriter GDPR WCAG App Builder Claude API Web SDK alloy.js Core Web Vitals AEM as a Cloud Service Developer Guide

AEM + AI Personalization: Delivering the Right Content to the Right Person at Scale Read More »