Lynn Loi . AI

Lynn Loi

Jan 7, 2026

Every year since ChatGPT launched, I've found myself asking a completely different question about generative AI—not the same question with better answers, but an entirely new question that only became possible because the previous one had been resolved. In 2022, I wondered what AI actually knew (and learned the hard way about hallucinated salary data in job descriptions). By 2025, I was producing interactive training decks and Excel templates without writing a single line of code. Now, at the start of 2026, I'm asking how to build automated workflows that free me up to focus on what humans do best. These five questions trace the extraordinary pace of change in just five years—and reveal where the real opportunities lie for knowledge workers ready to ask the next question

Lynn Loi

Jan 6, 2026

I've tried using Claude, ChatGPT, and Gemini to create presentations and the results were always underwhelming. The content was decent, but the formatting? A manual nightmare. So when I tested Gamma.app with a genuinely complex use case (employee offboarding compliance across six Asia-Pacific countries), I wanted to see if a specialized tool could actually deliver what general-purpose AI assistants can't: polished, presentation-ready output in minutes, not hours. Here's exactly what happened, step by step, including the limitations they don't tell you about upfront.

Lynn Loi

Jan 5, 2026

What happens when you give three AI tools the same complex virtual training scheduling problem and one of them walks straight into a cultural landmine? I ran an experiment with Claude, ChatGPT, and Gemini: identical prompts asking each to recommend the best approach for scheduling a 100-person virtual training across six APAC countries during Lunar New Year season. One tool recommended a culturally tone-deaf date to save $2,500, and one framed the time zone constraint as a "Golden Window" that actually helped me think through the problem differently. This is what AI collaboration looks like in practice and why the human still needs to be in the loop.

Lynn Loi

Jan 4, 2026

I uploaded one PDF chapter on biomechanics and five minutes later had a polished infographic, a 12-question quiz, 51 flashcards, and a podcast episode—all generated by AI, all grounded exclusively in my source material with zero hallucinations. No Canva, no Anki, no quiz app, no piecing together outputs from different tools. Today’s experiment explores NotebookLM, Google’s quietly powerful (and still free) learning tool that handles production while you handle curation, and what it reveals about the shifting role of humans in AI-augmented learning.

Lynn Loi

Jan 3, 2026

I put Claude, ChatGPT, and Gemini to the test with the same handwritten notes. One misread a key number, one nailed the formatting with icons, and one gave me three different options I didn’t ask for. Here’s what happened—and what it taught me about choosing the right AI tool for the job.

Lynn Loi

Jan 2, 2026

A step-by-step experiment using Gemini’s Nano Banana Pro for AI image generation. See the prompts I used, how I iterated with design trends, and the workflow that took me from concept to a ready-to-share infographic in one chat session.

Lynn Loi

Jan 1, 2026

Vague goals fail. Here’s how I used NotebookLM and Claude to extract a behavioural scientist’s framework from a podcast and turn it into a concrete 365-day plan—complete with cue-based triggers, obstacle planning, and emergency reserves.