Hi, I’m Jin.

I track early signals, then build to understand them.

Current focusAI in the software lifecycle
Jin outdoors, smiling in a denim shirt.

Here’s how I do it.

I test ideas by putting them against real work, then watching where the tradeoffs show up.

  1. 01

    Track

    Early signs while they are still unclear and messy.

    I track where new signals and technologies change what teams can make, with AI as one current example, and what makes them worth adopting.

  2. 02

    Build

    Real working tools and prototypes with them, to learn what they actually change.

    Shipping proof-of-concepts to see what those early signs do to teams, organisations, and digital systems.

  3. 03

    Understand

    Their second and third-order effects on teams and organisations.

    Which trade-offs, unintended consequences, and strategic bets matter.

The threads I keep returning to

Choose one to see the writing and projects behind it.

Recurring threads

Tracing this thread

Applied AI in practice

AI work here starts from the parts demos usually skip: confidential data, uneven adoption, messy files, cost, latency, and the cognitive debt these tools can create. What matters is whether an AI model can become a tool people can inspect, trust, and use in actual work.

In the Journey

Writing

Projects and tools

  • Now In SingaporeA curated pulse-check on what is happening across Singapore right now.
  • PromptPalAn internal Generative AI product for confidential, organisation-wide LLM access.
  • PromptPal TranscribeA private transcription tool that turns spoken work into usable written material.

Recent notes on what I’m learning

All writing →