GovTech STACK 2026 · Marina Bay Sands, Singapore

Agentic Patterns in Enterprise AI

Date: Tuesday, 3 November 2026
Time: 09.00 to 12.00 (GMT+8)
Venue: Level 4 Junior Ballroom, Marina Bay Sands, Singapore
Session: Workshop 04, STACK 2026
Speaker: Samuel Chan, Supertype

Marina Bay Sands and the ArtScience Museum at dusk, Singapore — Marina Bay Sands, Singapore. Photo by Lily Banse on Unsplash.

Come meet us in person

Supertype is speaking at this year's GovTech STACK conference at Marina Bay Sands, Singapore. If you are attending, join Samuel Chan for a hands-on workshop that dives into the building blocks of Agentic AI systems deployed in the real world. These include production-ready concepts pioneered by OpenAI, Anthropic, and leading LLM practitioners in the industry, coupled with first-hand experience from AI engineers at Supertype.

Covering:

Building Agentic Systems beyond Chatbots
6 Agentic AI Patterns for multi-agent AI systems
Guardrails and Enterprise Considerations

Who should attend

Perfect for product leaders and technical business leaders who want a more technical, first-principles glimpse of an agentic-enabled workforce beyond chat-and-query use cases.

Want to talk shop at the conference? Get in touch and we will find a time to meet.

Read the book behind the workshop

The Enterprise AI Agentic Stack

Samuel Chan ⋅ 2026-04-03

The architecture behind these patterns is written up in The Enterprise AI Agentic Stack, by Samuel Chan. A CTO's Guide to architecting Enterprise AI Backends with the LEAVES framework, written for product leaders and business stakeholders who seek a ground-up understanding of the enterprise AI tech stack.

Browse Supertype publications

Go deeper the next day

Agentic AI Patterns: Code-Along Classroom

Staying in Singapore? Our 4-hour, in-person code-along takes the patterns from this workshop and builds them into a working Agentic AI application, with Samuel Chan guiding you through retrieval, tools, pipelines and logging.

Nov 4, 2026, 13.00 to 17.00 (GMT+8)Waterloo Centre, SingaporeIDR 2,600,000

See the code-along

Your Instructor

Samuel Chan

I am a 3-time software entrepreneur (currently Sectors, Algoritma and Supertype, with 1 successful exit). Between 2013 and 2017, I have built and sold a company that operates in the space of chatbots, natural language AI and marketing automation whilst living between Beijing, Tokyo and my home town Singapore. I am also a prolific contributor on GitHub, with many open source tools, libraries, and open courses on Large Language Model and Computer Vision.

Prolific software entrepreneur (Audience Kit, HyperGrowth (sold), Growth Bot (sold), Sectors Financial Data Suite, Viably) over 2 decades while living and building engineering teams in Singapore, Beijing, Tokyo and Jakarta.
First in Southeast Asia to receive certification in Microsoft Data Science professional program (2014) and certification in MongoDB (2014). Also recipient of Graph Analytics for Big Data from UC San Diego, Machine Learning by Stanford (2016). First recipient in Asia for RStudio's certification program.
Accredited instructor (NTUC Singapore, IBF Singapore) and guest lecturer in various institutions including University of Indonesia, Institute of Technology Bandung, Ngee Ann Polytechnic and Singapore Institute of Technology
In-house consultant to SEGA-backed goGame, publisher of Disney Crossy Road, Big Hero 6, Adaro (IDX: ADRO) group of companies and ex-employment at DNP Group (TYO:7912), Gumi (TYO:3903), DianDian FunPlus (600634.SH), year-long consulting at Beijing, Tokyo between 2011 and 2016.
Contributor to various publications including the Logistics Institute by NUS (National University of Singapore)

Veteran AI Educator

Taught AI Development to over 17,000 students since 2020 and an active contributor to LLM tooling and open source work.

> 270,000

YouTube Views on LLM Generative AI Series (youtube.com/samuelchan)

929 Stars

on LLM education series: GitHub (@onlyphantom/llm-python)

40+

Open source scripts and LLM tooling resources on GitHub (@onlyphantom)

> 2.2 million

People reached on my StackOverflow (@onlyphantom) account

116 Badges

Recognized contributor on AI topics, Python and R on StackOverflow

18+ Years

Of software engineering, enterprise analytics & AI engineering experience

Registration and seating are managed by GovTech. Timings are subject to change; see the official STACK 2026 programme.