diff --git a/src/components/BFH-Timeline.tsx b/src/components/BFH-Timeline.tsx
index 9e00b2b7c47857c0b1dd7508e35a84382478aeaa..b70a7798011cc70cdf7c383765f22043343ab49a 100644
--- a/src/components/BFH-Timeline.tsx
+++ b/src/components/BFH-Timeline.tsx
@@ -135,12 +135,29 @@ export function BFHTimeline () {
                 tag='Workshop Session I.'
                 color='var(--text-primary)'
                 csstag="aiworkshop"
+                heading="Modern problems require modern solutions"
+                text="Computational technologies are getting more in the focus of scientific research. Integration of generative KI like GenAI bypass limitations and offers potential risks - learn how to implement Artificial Intelligence."
                 >
-                    <h5>Modern problems require modern solutions</h5>
-                    <span>Computational technologies are getting more in the focus of scientific research. Integration of generative KI like GenAI bypass limitations and offers potential risks - learn how to implement Artificial Intelligence.
-                    </span>
                     <div id="aiworkshop" style={{display: "none"}}>
-                        So much more
+                        <p>
+                        This workshop hosted by xyna.bio was designed to introduce researchers to the integration of AI into scientific workflows. Wiktoria Palak and 
+                        Julian Borbeck, both experts in Molecular Biology, Biochemistry, and Bioinformatics, led the workshop, focusing on practical applications of AI 
+                        in biosciences. The session provided attendees with hands-on experience and a platform for exploring how AI can address research inefficiencies 
+                        and open new opportunities for innovation.
+                        </p>
+                        <p>
+                        The workshop was structured around two main components: theoretical insights and a practical group exercise. In the theory portion, we gained a deeper 
+                        understanding of AI applications, including neuro-symbolic AI and its role in enhancing research methodologies. The instructors shared their experiences 
+                        developing AI tools like those at xyna.bio, offering participants valuable knowledge on the AI development process.
+                        </p>
+                        <p>During the group work, we brainstormed ideas for AI tools that could simplify lab work for scientists. This activity not only fostered creative 
+                            thinking but also encouraged collaboration, as we discussed potential AI solutions that could streamline tasks like data analysis and experimental 
+                            design. 
+                        </p>
+                        <p>
+                            By the end of the workshop, participants walked away with practical insights and actionable skills. We felt equipped to start implementing AI 
+                            solutions in our own research projects, identifying specific areas where AI could improve efficiency and productivity in the lab.
+                        </p>
                     </div> 
                 </TimelineItemTwoPic>
                 <TimelineItemPic