Session suggestions and requests

Of course, the session planning will be done on site at the CMS Camp, as is usual for barcamps. Nevertheless, you can already submit your session suggestions and wishes and thereby provide inspiration for the other participants.

Session suggestions and requests

Some Sessions Ideas for the CMScamp

Tim Benniks

Tim Benniks

Alive and Kicking

Get ready to rock out at your next tech conference! I've created an electrifying browser-based karaoke experience tailored explicitly for rock & roll guitar. Using the innovative power of Vue, Nuxt, and webmidi, everything from the backing tracks to the guitar amp presets is dynamically controlled.

Andrew Kumar

Personalizing Beers & Diapers

In this discussion, speaker Andrew Kumar discusses CMS capabilities, MACH architecture, experience management, personalization and experimentation, data integration, APIs, orchestration, and performance within a modern tech stack. Andrew will share a personalization demo built with a headless CMS and Vercel that recommends different IPAs based on the location, and weather of local users. The demo showcases how to pull data from any API without writing code, to seamlessly integrate and personalize customer experiences.
Tobi Stadelmaier

Tobi Stadelmaier

Beyond "Search Engine on Steroids" - take your AI app to the next level

Tired of using GPT only to beef up your boring old chatbot? Ever been in a situation where "This sounds like ChatGPT wrote it!" is more an insult than a compliment? Get ready to take your LLM-powered application to the next level: By cleverly combining modern prompt engineering and giving your LLM access to external online and offline knowledge bases and APIs, we can leverage recent LLM models (GPT4+, Claude 3+ and friends) to solve arbitrary, but complex problems in quite astonishing ways - including, but not limited to, content management and content operations. We'll explore the basic concepts of state of the art ReAct Agents - and if there's enough excitement, hack our own AI application in just a few dozen lines of python code in a quality continuation session (prerequisites: Basic python knowledge and an OpenAI API key, but that's it, I promise)