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Hello everyone, I would appreciate your feedback below so I can determine how to improve and next steps for aiready.sg.

  1. was pAIRI useful

  2. AI For Everyone - how did you like or not like this format (the whole pipeline is agentic and generated from an extensive set of curated materials including past AI4E versions and many hours of firecrawl + Opus analysis.

Using Gemini 3.1 in NotebookLM today in June 2026

"Walk the talk" and "Grow your own Timber" "Walk the talk" and "Grow your own Timber"

Hi everyone, I’m an ICT Project Manager in the international K-12 school sector here in Singapore. My day-to-day is mostly about taking new strategic ideas and turning them into actual, working system and application projects on the ground.

I’m here to start small with AI, essentially looking at how to use it as a practical virtual assistant or project coordinator for my own daily workload, like streamlining project tracking, documentation, and follow-ups.

I’ve been in IT for about three decades across SIs, telecom, government, and education, so I’m happy to help anyone struggling to get different teams, tech staff, and vendors on the same page to actually manage operations or deliver projects. Happy to share what I've learned so far, and learn new areas in the AI space from you along the way.

I’m Peter Ong. semi-retired from the IBM Mainframe (S390/zSeries) Technical and Regional Sales for over 30 years. Now teaching/training the younger generation in using Generative AI since ChatGPT 3.5 (early 2023) for HR, Finance, Engineers, PME(Professionals, Managers, Executives) in Singapore, Malaysia and Thailand. Hope to learn and share about AI usage.

This is the standing introductions thread. No format required — three lines is plenty.

To get you started, here's mine:

I'm Laurence. I work on getting AI into actual use across organisations in Singapore — not just into slide decks. At AI Singapore I built the AI Apprenticeship Programme and the 100 Experiments programme. The apprenticeship came from a stubborn belief: you don't just import an AI workforce, we need to grow our own timber. We took people from economics, biology, psychology — not just computer science — and turned them into working AI engineers. Everyone can learn to program; not everyone has a passion for data, and that passion turns up in the unlikeliest backgrounds.

The AIRI framework behind pAIRI and AI4E grew out of that work, and now runs as my own open, free initiative — released as an open standard because the same belief scales: AI readiness shouldn't sit behind a paywall or a job title. I wrote a book on it too, AI-First Nation.

And I try to practise what I teach. This site — the lessons, the assessments, and the plumbing behind them — was built with an AI coding agent working alongside me. After three decades in tech I still learn new tools the only way that sticks: by using them on real work. That is the whole point of this place — AI is not something to admire from a demo, it is something you pick up and put to work. The learning never stops, for any of us, at any level.

Your turn. A useful version:

  • what you do (industry + roughly what your work involves),
  • why you're here (the AI question that's actually on your mind),
  • one thing you'd be glad to help someone else with — a tool you swear by, a workflow, a lesson learned the hard way.

That last line is the one that makes a community work. Everyone here knows something the rest of us don't.

-- Laurence