Generic courses teach prompts, not your job.
Most ChatGPT courses run on toy examples. I train your team on the actual emails, reports, and replies they send every day, so the output is usable in the same session.
chatgpt training bangkok
I run hands-on ChatGPT training for Bangkok teams and staff. We use your real work, leads, email, support replies, reports, content, and build a working ChatGPT setup with your people during the session, so the team leaves using it on the job the same day, not holding slides.
01 . buyer pain
Most ChatGPT courses run on toy examples. I train your team on the actual emails, reports, and replies they send every day, so the output is usable in the same session.
People open ChatGPT, get a vague answer, and quit. I sit with the team and show the exact prompt patterns that turn it into a reliable work tool for their role.
AI skill stuck in one head does not move the business. I train the whole team together so the prompts, the shared library, and the habits spread across the company.
Training with no artifact is wasted budget. Your team leaves with a saved prompt library, role templates, and a short runbook so the skill sticks without me.
02 . package
We list the tasks your team does most: email drafts, support replies, summaries, reports, content, research. Those become the training material.
Your staff prompt ChatGPT on their own real tasks while I guide, so they learn the patterns by doing the work, not watching a demo.
We save reusable prompts and role templates in your team's voice, so people start from a proven prompt instead of a blank box.
You leave with a short runbook, a shared prompt library, and clear rules on where a human must still check before anything goes to a customer.
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. I teach the concepts your team needs, but most of the time is your staff prompting ChatGPT on their own real tasks, so they leave using it for real work.
No. The training is built for everyday staff and operators in marketing, sales, support, and admin. If your team can write an email, they can do this.
Small to mid-size teams work well. The people who do the daily work should be in the room so the prompts match the tasks they actually own.
Yes. I am Bangkok-resident and work in UTC+7. The training language is English, with Thai-facing customer flows handled where the work needs them.
Yes. Use the WhatsApp button on this page, tell me your team size and the tasks you want covered, and I will reply with the right next step.
The session is not a lecture. Your team trains on its own real tasks and walks out with a saved prompt library, role templates, and a runbook, so the skill stays in the company.