thailand is demo-rich and capability-poor on ai. depa ran the awareness campaigns, the ais and microsoft roadshows toured the country, the government keeps framing ai as the lever, and most teams have now sat through at least one session. very few of them can use it on monday morning. the demo showed what is possible, it did not leave a working setup behind. the test of a training is simple: can the team use it the next morning on a real task. if the session produced no artifact the team keeps, it produced nothing.
generic prompt courses fail that test because they run on toy examples. a slide that says write a prompt about a fictional coffee shop does not transfer to your actual line oa backlog, your actual month-end report, or your actual sales follow-up. the prompt that works is the one written against your real email, your real customer message, your real spreadsheet. so we train on your work, not on examples. people bring the tasks that burn their week and leave the room with a setup that already runs on those tasks.
what we run. ai workshops in bangkok (onsite, hands-on, your real tasks), ai training for founders (the owner-level view: where ai earns its keep, where it does not, how to govern it), in-company team training (the whole function in the room, building together), chatgpt training (the tool most teams already pay for, used properly), and generative ai plus prompt engineering (the patterns that hold up, not party tricks). every format runs in english, with thai examples wherever the underlying work is thai.
why hands-on beats a course, and who should be in the room. a course teaches the concept and leaves the application to you. a hands-on session builds the system during the session, on your workflow, and the team owns the artifact at the end. the people who should be in the room are the ones who do the daily work: the customer service lead, the finance person, the ops manager, the marketer. no technical background is required. the goal is not to make them engineers, it is to make their tuesday lighter, and to leave a saved prompt library and a runbook so the skill does not walk out the door with one person.