Generic workshops teach prompts, not workflows.
Most generative AI training in Thailand is demos and prompt lists. I train on the actual workflow your company runs on, so the output is usable the day the session ends.
generative ai training bangkok
Generative AI training in Bangkok is hands-on training where your team learns to use tools like Claude and ChatGPT on your actual work, not slide decks. I run it onsite or online in UTC+7. We take a real task your team does every week, drafting, summarizing, support replies, reports, content, and build a working generative AI workflow during the session, so you leave with a setup you can use the same day.
01 . buyer pain
Most generative AI training in Thailand is demos and prompt lists. I train on the actual workflow your company runs on, so the output is usable the day the session ends.
Playing with a chatbot is easy. Wiring generative AI into a real process is hard. I sit with your team and build the first working loop end to end.
Random prompt tips are forgotten in a week. A repeatable setup with prompts, a clear input, and a human checkpoint sticks because it matches how your team already works.
Training with no artifact is wasted budget. Your team leaves with the working build, the prompts, and a short runbook they can follow without me.
02 . package
We start from one real task your team does weekly and map the steps, tools, and the points where time leaks today.
I wire Claude or ChatGPT into the workflow while your team watches, drafting, classifying, summarizing, or routing, with your people making the decisions.
We write the prompts in your company's voice and set the human checkpoint where trust, money, or customer risk matters.
Your team leaves with the working setup, the prompts, and a short runbook so they can repeat it across more tasks without me.
03 . method
I start with the exact workflow that wastes time today: leads, customer support, invoices, bookings, reporting, approvals, or spreadsheet work. The output is a simple flow with owners, tools, data, and failure points.
If the website is part of the flow, I fix the page, form, tracking, CRM handoff, WhatsApp handoff, and follow-up path before adding AI. Conversion comes before automation.
AI gets added to the work where it can draft, classify, summarize, route, answer, or prepare decisions. The human stays in control at the point where trust, money, or customer risk matters.
The finished system includes the page or tool, the AI prompts, the integrations, the logging, the handover guide, and the first measurement loop so the business can see if it worked.
04 . proof
Piexels is a Brussels-founded, Bangkok-resident dev studio. The offer is built for founders and SME operators who want senior execution without a slow agency layer.
Typical builds use Next.js, Supabase, forms, CRM, Stripe, Xero, Shopify, LINE, WhatsApp, Google Workspace, Claude, and practical workflow automation.
Every page is built to make the next action obvious: email, WhatsApp, form, booking, dashboard review, customer handoff, or internal approval.
05 . faq
It is hands-on training where your team learns to apply generative AI tools like Claude and ChatGPT to real work. It is for Bangkok founders, operators, and teams who want a working setup, not theory. No technical background is needed.
It is a working session. I cover the concepts, but we spend the time building on your real workflow so your team walks out with something live they can use that day.
Both. I run it onsite at your office in Bangkok or online in UTC+7. The people who own the workflow should be in the room or on the call so the setup matches how they actually work.
Mainly Claude and ChatGPT for generative AI, wired into the tools you already use: Google Workspace, forms, CRM, LINE, WhatsApp, and Shopify where relevant. Typical builds also use Next.js and Supabase.
Yes. Use the WhatsApp button on this page and send the task you want to train on. I will reply with the right next step in UTC+7.
The training is not a lecture. It is one real workflow, mapped clearly and wired into generative AI with your team, so you own a working system at the end, not a folder of notes.