[Gen-C May Sharing]: AI at Work - From Co-Worker to Creator

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🔗 AI at Work: From Co-Worker to Creator

*Talks by Gen-C (Generative AI Learning Community) - May 2026 edition*

💡 Join us for talks about Generative AI on 9 May 2026 (Sat)! Seats are limited so please register early to avoid disappointment! 🙂
Event details: https://www.nlb.gov.sg/main/whats-on/event-detail?event-id=5903792

❗ IMPORTANT: Registration is only tracked through the URL found within the link below. Please sign up using that registration URL.
Link: https://nlb.libcal.com/event/5903792

🏠 LOCATION: Basement 1 Programme Room 1, Central Library at the National Library Building

Below is the schedule,

🧱 10.30am - 11.10am : Topic - Introduction to Claude Cowork

Claude Cowork is Anthropic's AI agent designed for non-developers. Unlike a vanilla chatbot that answers one question at a time, Cowork can take on entire tasks through direct interaction with your file system, browser, and external tools like Slack, Notion, and Google Drive. Cowork's capabilities are extendable through Claude Skills, which are reusable capabilities that can turn Claude into a specialist. In this talk, we'll walk through what Cowork can do and explore real-world use cases across different functions.

About the Speaker:

Meraldo is a Data Scientist with special interest in time series, LLM, NLP, econometrics/macroeconomics, MLOps, and cloud computing (AWS and GCP).

11.10am - 11.30am : Q&A session

🤖 11.30am - 12.10pm : Topic - From Meeting to Prototype: Turning Conversations into Working Solutions with AI

What if every meeting could instantly turn into not just tasks—but a working prototype? This demo showcases a working AI-driven prototype that transforms a recorded session into structured outputs— capturing key points, organizing them into requirements, identifying gaps, and generating ready-to-use tasks in Jira. Going a step further, the solution automatically creates a visual prototype based on those requirements, allowing teams to quickly see and validate ideas before development begins. Learn how to refine AI-generated outputs due to limitations of the prototype in addressing meeting nuances. By removing manual documentation and accelerating the journey from discussion to tangible output, this approach helps teams move faster, align better, and bring ideas to life in minutes.

About the Speaker:

Mike Chee is a volunteer mentor at BuildAI@SIT and a Community Co-Lead at the Gen-C Generative AI Learning Community. He is committed to fostering knowledge sharing and advancing AI capabilities across diverse communities. By bridging technical expertise with strategic vision, Mike supports cutting-edge initiatives that empower teams, strengthen collaboration, and drive meaningful organizational impact.

12.10pm - 12.30pm : Q&A session