Same prompt, different answer every time.
Without structure the output swings wildly. I teach the patterns that make prompts repeatable so the team gets consistent quality, not luck.
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prompt engineering bangkok
Prompt engineering training in Bangkok.
I run prompt engineering training in Bangkok for teams that already use AI but get weak, random results. We work on your real tasks and learn the patterns that turn a vague answer into a reliable one, so the team gets the same quality every time.
01 . buyer pain
where Thai SMEs lose time.
People copy prompts they do not understand.
Borrowed prompts break the moment the task changes. Your team learns why a prompt works so they can adapt it to any task they own.
Good prompts live in one chat and vanish.
A great prompt typed once and lost is wasted. We save the winners into a shared library so the whole team reuses them.
02 . package
What the prompt engineering training covers.
The core patterns
Structure, context, role, examples, and output format, taught on your real tasks so they stick.
Checks and guardrails
How to make the model self-check and where a human must still verify before anything goes to a customer.
Reusable prompt library
We save the prompts that work into a shared library and role templates, so the team starts from proven, not blank.
03 . method
one broken workflow first.
Map the workflow.
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.
Fix the website and handoff.
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.
Add AI where it saves time.
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.
Ship with a runbook.
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
built for conversion and operations.
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
questions before the call.
Is this for beginners or people already using AI?
Mostly for teams already using AI who want better, more reliable results. Beginners can join, but the value is turning random output into consistent output.
Which AI tools do you cover?
The patterns work across ChatGPT and Claude. We use whatever your team already works in so the training maps to your real setup.
Do you run it in Bangkok time?
Yes. I am Bangkok-resident and work in UTC+7. The training language is English, with Thai-facing flows handled where needed.
Can we start through WhatsApp?
Yes. Use the WhatsApp button, tell me your team and tools, and I will reply with the next step.
Turn random AI output into reliable output.
Your team learns the prompt patterns on its own real work and leaves with a shared library, so the same quality comes out every time instead of by luck.