How we build AI for public good

The People

Stewarding What Was Entrusted

No Forward-Deployed Team really starts from zero, every achievement begins with a foundation laid by someone before us. Looking back on my journey, I realise what I inherited matters just as much as what I've accomplished.

The Lab

When Agent Skills Evolve: The Need for a Layer of Control

What we learnt from building Rhizomatic, a human-in-the-loop proof of concept for reviewing, versioning and rolling back changes to reusable agent skills.

AgenticInfrastructure

The Lab

Guardrails in the Wild: Closing the Retraining Loop for LionGuard 2

Operationalising MLOps with production feedback to continuously evaluate, retrain, and improve our guardrails.

Responsible AI

The Lab

What is a Mixture-of-Experts model, really?

An experiment reveals how different layers shape what a model understands, retrieves and ultimately generates.

Machine LearningLLMs

The People

One Year in Multimodal AI at GovTech

“I came here expecting to build models for people who already knew what they wanted. I discovered that the harder work is figuring out what should be built, who it is for, and whether it solves a real problem.”

Multimodal

The Studio

ORCA Part 2: Under the Hood

How ORCA works under the hood: routing each request to the right agent, running generated code in an isolated sandbox, and turning repeat chat tasks into reusable workflows.

Agentic

The Studio

ORCA: one platform, many agents, working together

GovTech's MOM team built it to unify AI tools for analysing data, drafting slides and checking compliance

Agentic

The Lab

Agent Wars, Episode 2: The Brain Wars

On shared memory systems for organisations and the complexities around them

Infrastructure

The Studio

Stress-Testing Government Communications with AI Personas Grounded in Real Voices

Government communications can misfire in ways their authors never intended. We built an app that lets officers stress-test drafts against AI personas grounded in real Singapore voices, so they can catch what they missed in minutes rather than weeks.

LLMs

The People

My 6 Months Interning Responsibly at AI Practice

Tell us about yourself- what did you expect from this internship? I’m Rohan, a penultimate year Business Analytics student at the National University of Singapore (NUS) who spent the first half of 2026 as an applied AI Data Scientist Intern at GovTech’s Responsible AI team.  Going in, I

Responsible AI

The Lab

Building an automated Evals workflow that works (and open-sourcing it)

How we built Kaleidoscope: A structured workflow for realistic, scalable, and human-aligned contextual AI evaluations.

Responsible AI

The Lab

The Road Under the Harness

Previously I wrote about building a harness for yourself. This one is about the environment you're building in, and why at enterprise scale, if the platform underneath doesn't exist, individual wins have nowhere to accumulate.

AgenticInfrastructure