Agentic XSS fixes using Cursor Toolkit and Agent

Agentic skills and instrumentation to enable automated XSS fixes for Classic UI (and other areas) from JIRA to PR. It works both locally and as a Service, and it managed to solve the Classic UI Vulnerabilities backlog.

Demo: AEM Cursor Toolkit and Agent.mov

Agentic Investigation of Build Failures

Investigate why builds are failing by checking the Jenkins jobs, grabbing the logs (including from AEM instances) and running an AI-driven investigation.

Demo: Agentic Build Failures Investigation.mov

Toggle Registration Workflow Automation

This skill handles the complete end-to-end process of registering feature/code toggles from code changes to tracking:

• Inserts the toggle
• Registers it in all configuration classes
• Creates the retirement ticket in Jira
• Links it to your implementation ticket
• Updates the wiki inventory table

Demo: register-toggle-skill.mp4

Agentic Cleanup of Feature Toggles

Automated flow for cleaning up LaunchDarkly features toggles from code

Demo: Agentic FT Removal.mov

Multi-repo Spec Driven Development

Leveraging the power and consistency of SDD with SpecKit across a multi repository setup. Complex features can now be safely and efficiently be AI developed using specs only.

Demo: SpecKit in a multi-repo setup

Enabling Context for Agents with ADRs

This session covers concrete practices for co-locating structured context with code, and introduces /new-adr, a command that turns engineering conversations into permanent, machine-readable decision records.

Demo: Enabling Context for Agents with ADRs.mp4

Journey to AI Readiness: From team-defined criteria to SDLC maturity scoring

This session covers how our team's 22-criteria assessment and the ai-elevate scorecard work as complements to give a fuller picture of AI readiness.

Demo: Journey to AI Readiness_ From team-defined criteria to SDLC maturity scoring.mp4

Alt Text revamp

The ASO’s Alt-Text opportunity went through a series of optimizations which allowed the re-enablement for all customers. Some of the items worth mentioning were accurate text generation, filtering between empty vs non-existing alt-text, efficient suggestion lifecycle.

The opportunity is now re-enabled for all customers.

Demo: Alt-Text improvements demo

Offsite Google Trends Opportunity POC

Google Trends Opportunity identifies emerging/trending topics and makes recommendations, overlays share of voice for the target brand and identifies gaps on brand’s YouTube channel.

Demo: Google_Trends_Oppty.mp4

Cited Third-Party Sentiment & SoV Overview POC

Aggregating the brand sentiment and share of voice across LLMO’s offsite sources, creating context to identify the opportunities with the highest interest.

Demo: Cited Third-Party Sentiment & SoV Overview demo

[Internal] Brand Sentiment Chrome Extension

Brand sentiment Chrome extension to determine brand sentiment directly (real-time) on the web page.

Demo: Brand Sentiment Chrome Extension

AEM Support for LLM Apps

Boilerplate content and code for supporting LLM Apps with native AEM content

Demo: LLM Apps - Site Template - Carousel.mov

Demo: BMW, Virgin

CF Launches Job Panel

Support for viewing async jobs for CF Launches, including navigation to previous jobs results

Demo: Launches - Jobs Details.mov

Customer: Smart Europe, Bread Financial

MSM UI for Content Fragments

MSM Support in CF Admin UI: create live copy, rollout, synchronize, details panel

Demo: MSM UI + Agentic Development.mov

Customer: Audi, Bread Financial

Agentic Figma to CF Visualization

Point it at a Figma design, tell it where your AEM author is - it does the rest.

The kicker: it verifies its own work. The agent renders the template, compares it to the Figma screenshot using Claude's vision, scores the match, and does refinement loops.

Demo: FigmaToCFVisualization.mov

Customer: Eli Lilly, Macys