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AI in Asia for Beginners: A 2025 Guide to Getting Started
2025 Guide to AI in Asia for Beginners! Learn about the tools and resources available to automate no-code tasks and start using AI today.
Published
4 months agoon
By
AIinAsia
TL;DR
- 🌏 Asia’s AI dominance: China, India, and Singapore lead in AI innovation for healthcare, farming, and smart cities.
- 🛠️ Beginner-friendly tools: Free apps like Zoho Creator (India) and BukuWarung (Indonesia) automate tasks without coding.
- ⚠️ Avoid pitfalls: Data privacy laws vary—check compliance for your country.
- 🚀 30-day plan: Start with translation apps, progress to chatbots, and build your first project.
- 💡 Community support: Join local AI groups or free courses to stay motivated.
AI Isn’t Just a Buzzword—It’s Asia’s New Normal
From AI drones monitoring rice fields in Vietnam to chatbots handling customer service for Mumbai startups, artificial intelligence is reshaping Asia’s future. But if you’re new to this tech revolution, don’t panic. This guide strips away the jargon and gives you practical steps to start using AI today—no PhD required.
Why Asia is Leading the AI Revolution
Asia’s mix of massive populations, rapid digital adoption, and government investment makes it a global AI powerhouse:
- China’s smart cities: AI adjusts traffic lights in real time and powers facial recognition in subways.
- India’s healthcare leap: Apps like Practo connect rural patients to doctors via AI-driven video consultations.
- Singapore’s innovation labs: Government-funded projects tackle climate change and finance with AI.
By 2030, AI could add $3.5 trillion to Asia’s economy (PwC). Translation? Whether you run a small business or study in Manila, AI is your ticket to efficiency.
AI in Daily Life: 4 Ways It’s Changing Asia
- Smarter Shopping
Apps like Lazada and Shopee use AI to recommend products you’ll actually want—no more endless scrolling. - Healthcare Breakthroughs
Malaysia’s Doc2Us chatbots triage patients, while Japan’s AI exoskeletons help the elderly walk. - Farming Upgrades
Thai farmers use AgriPredict to monitor soil health via smartphone. Think of it as a “Fitbit for farms.” - Language Solutions
South Korea’s Naver Papago translates 13 Asian languages—perfect for ordering phở in Hanoi without charades.
5 Easy AI Tools for Asian Beginners
- Zoho Creator (India): Build custom inventory or CRM apps—drag, drop, done.
- BukuWarung (Indonesia): Automate accounting for small shops (warungs).
- KakaoBrain (South Korea): Turn selfies into K-drama posters with AI art.
- TAIGER (Singapore): Create chatbots for customer service.
- Google’s AI Smartsheets: Free templates for budgeting or project management.
Pro tip: Start with free trials. You wouldn’t buy a motorbike without a test ride!
Avoiding Pitfalls: Privacy, Bias, and Overhype
- Data privacy: Singapore’s PDPA is strict; Indonesia’s laws are looser. Always read terms before uploading data.
- Cultural bias: Western-trained AI might misunderstand Asian contexts. Use local tools like Haptik (India) for chatbots.
- Start small: Focus on one task (e.g., automating invoices) instead of overhauling everything at once.
Your First 30 Days with AI: A Step-by-Step Plan
Week 1: Explore Basics
- Use Google Translate to practice translating local dialects.
- Experiment with Instagram’s AI filters or Spotify’s personalized playlists.
Week 2: Automate Simple Tasks
- Create social media posts with Canva Magic Design.
- Set up a FAQ chatbot using BukuWarung.
Week 3: Learn and Connect
- Take Coursera’s “AI for Everyone” (free, with subtitles).
- Join AI Starters Asia on Facebook.
Week 4: Build Your First Project
- Small businesses: Track inventory with Zoho Creator.
- Creatives: Sell AI art on Instagram using KakaoBrain.
Beyond 30 Days: Keep Momentum
- Month 2: Use Tableau Public to visualise sales trends.
- Month 3: Partner with a techie friend to build a WhatsApp order bot with Twilio.
Final Thoughts: AI is Your Sidekick, Not a Replacement
You don’t need to be a genius—just curious. Start small, learn from mistakes, and scale up. Whether you’re a street vendor in Manila or a freelancer in Bangalore, AI can save time, cut costs, and open doors.
Let’s Talk AI!
How are you preparing for the AI-driven future? What questions are you training yourself to ask? Drop your thoughts in the comments, share this with your network, and subscribe for more deep dives into AI’s impact on work, life, and everything in between.
You may also like:
- How to Use ChatGPT
- 10 AI Prompts to Turn Your Pet Photos Into Phone Wallpapers (Plus Freebies!)
- Top 10 Prompts to Write Better Emails with ChatGPT
- Or try the free version of ChatGPT by tapping here.
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Build Your Own Custom GPT in Under 30 Minutes – Step-by-Step Beginner’s Guide
Create your own GPT without writing code. This beginner-friendly guide shows you how to build, customise, and publish a ChatGPT assistant using OpenAI’s builder — complete with personality, knowledge, and tools.
Published
4 days agoon
May 26, 2025
A friendly guide to building your personalised ChatGPT assistant (custom GPT creation) in under 30 minutes
The Quick Essentials
Before we dive in, here’s what you need to know:
- You’ll need a ChatGPT Plus or Enterprise account (the paid version)
- Creating a custom GPT involves naming it, giving it a personality, uploading knowledge files, and enabling tools
- The entire process happens at chat.openai.com/gpts
- No coding required — just plain English instructions
- You can keep your GPT private, share it via link, or publish it in the GPT Store
Step 1: Getting Access
First things first, you need a ChatGPT Plus subscription:
- Head over to chat.openai.com
- Click “Upgrade to Plus” if you haven’t subscribed yet
- Confirm your plan and payment (USD $20/month at the time of writing)
Once you’re all subscribed:
- Navigate to: chat.openai.com/gpts
- Click the black “Explore GPTs” button in the left menu
- At the top right, click “Create”

Brilliant! You’re now in the GPT Builder interface where all the magic happens.
Step 2: Starting in “Create” Mode
You’ll see a chat interface asking: “What would you like to make?”
This is where you describe your GPT in plain language. For example:
“I’d like to create a friendly GPT that helps junior marketers in the UK write social media copy. It should use casual British English and understand cultural references from across the UK.”

The system will respond with follow-up questions like:
- What tone should it use?
- Should it browse the internet or run code?
- Will you upload any knowledge files?
Answer naturally and conversationally. The system builds a draft GPT based on your answers.

It may even recommend a name and an image:

Once the chat version feels roughly right, click “Configure” in the top bar to manually fine-tune everything.

Step 3: Configuring Your GPT
This is the control panel where you can edit every setting. Follow these steps:
3.1 — Name Your GPT
- In the Name field: give it a clear name like “Brit Copy Buddy”
- In Description: write what it does — “Helps junior UK marketers write scroll-stopping social copy in casual British English.”
3.2 — Write the Instructions
Scroll down to the Instructions box and type your behaviour settings. Think of this like a personality manual. If you followed the steps, then it may well already be filled in for you. This is where the magic happens, so make sure it truly reflects your purpose. Because it is so important, we created a separate guide for this which you can read here. For example:
This GPT is a friendly and culturally aware assistant designed to help junior marketers in the UK write engaging social media copy. It communicates in a casual, approachable tone using British English, including regionally familiar slang and references from across England, Scotland, Wales, and Northern Ireland. It provides clear, supportive guidance to help users improve their writing, offering creative suggestions while keeping brand voice and audience in mind. It can reference UK cultural events, holidays, humour, and idioms to make content feel local and relevant. It avoids Americanisms and ensures that grammar, spelling, and phrasing are aligned with UK standards. The assistant will ask for context when needed (e.g., target audience or platform), and will aim to keep things breezy, witty, and scroll-stopping.
3.3 — Add Conversation Starters
Under Conversation Starters, add 3–4 useful prompts users might click on:
- “Help me write a tweet for a UK skincare brand launch”
- “Can you make this Instagram caption sound more British?”
- “Draft some TikTok captions about a new meal deal”
This helps users jump straight in without typing from scratch.

Step 4: Adding Custom Knowledge (Optional but Recommended)
If you want the GPT to reference your own documents — like brand guidelines or FAQs — follow these steps:
- Scroll to the Knowledge section
- Drag and drop your files (accepted formats: .pdf, .txt, .csv, .md, .json)
- Upload limit is around 20 files at present
Example: Upload a “Tone of Voice Guide.pdf” and your GPT will use it to match your brand style.

Important note: Your GPT can reference but not quote files word-for-word. It learns the content conceptually rather than memorising exact phrases.
We have created a step-by-step guide for the best way to structure your Knowledge files here.
Step 5: Enabling Tools
Now choose which abilities your GPT should have.
Scroll to Capabilities, and toggle the following:
- ✅ Web Browsing — useful for real-time info like news or trends
- ✅ Code Interpreter — for handling files, calculations, data plots
- ✅ Image Generation — if you want it to create pictures (e.g., Instagram ideas)
- ✅ File Uploads — lets users feed the GPT spreadsheets or PDFs
Select only what’s genuinely useful — too many tools can make your GPT’s responses confusing.

Step 6: Testing Your GPT Thoroughly
Before publishing, have a proper chat with your GPT.
Ask both straightforward and unusual questions to test:
- Does it maintain the right tone?
- Does it understand your uploaded files?
- Does it use tools properly (like making charts or browsing)?
- Does it clarify things when uncertain or guess incorrectly?
If anything feels off, go back to the Instructions and tweak your wording. Even changing one line can make a significant difference.
Step 7: Create New Action
This function allows you to turn your GPT into a powerful API-aware assistant that can fetch data, trigger services, or complete tasks — all from inside the chat.
This is an optional extra when creating a Custom GPT and is complicated enough to need its own guide, which you can read here.
If this is your first attempt at creating a Custom GPT, we suggest skipping this step for now and moving on to Step 8.
Step 8: Switch Off Training
You should always consider anything sensitive you share with any AI chatbot. However, its always a good idea to switch off the request to improve the AI models.

Step 9: Publishing Your GPT
At the bottom right, click the “Publish” button.
You’ll be asked to choose:
- Private — only visible to you
- Unlisted — only people with your link can access it
- Public — listed on the GPT Store for anyone to use
Give it a thumbnail image (upload one or use the auto-generated option), choose a category (e.g., Marketing, Productivity), and confirm.

Congratulations! Your GPT is now live and you can view it.


Final Tips for Success
- 🧹 Keep it focused — One GPT = one clear purpose
- 🪪 Use your brand voice — match the tone your users expect
- 🔁 Iterate regularly — update your files and instructions as you learn what works
- 💬 Share wisely — use private/unlisted first before going public
Happy GPT creating! With these steps, you’ll be up and running with your custom assistant in no time.
You may also find useful:
- How to Upload Knowledge into Your Custom GPT
- How to Use the “Create an Action” Feature in Custom GPTs
- Or try this playbook out now at ChatGPT by tapping here.
Author
-
Adrian is an AI, marketing, and technology strategist based in Asia, with over 25 years of experience in the region. Originally from the UK, he has worked with some of the world’s largest tech companies and successfully built and sold several tech businesses. Currently, Adrian leads commercial strategy and negotiations at one of ASEAN’s largest AI companies. Driven by a passion to empower startups and small businesses, he dedicates his spare time to helping them boost performance and efficiency by embracing AI tools. His expertise spans growth and strategy, sales and marketing, go-to-market strategy, AI integration, startup mentoring, and investments. View all posts
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How to Upload Knowledge into Your Custom GPT
Want your Custom GPT to actually know your stuff? Learn how to upload your own documents into ChatGPT’s Knowledge section, with step-by-step instructions, supported file formats, and key watchouts.
Published
1 week agoon
May 20, 2025By
AIinAsia
Your step-by-step guide to making a smarter GPT with your own documents.
Why Upload Your Own Knowledge?
Even the best GPT won’t really sound like you — or know your stuff — unless you teach it. That’s where knowledge uploads come in.
By uploading files (PDFs, DOCs, TXT, etc.), your GPT can:
- Answer questions based on your business material
- Speak in your tone and style
- Cut down on repetitive manual responses
- Act as a trained assistant, contract reviewer, customer explainer, or internal helpdesk
Think of it as giving your GPT “homework.” You hand it your documents, and it quietly studies them behind the scenes so it can sound smart in front of your users.
Why Upload Your Own Knowledge?
Even the best GPT won’t truly sound like you — or know your stuff — unless you teach it. That’s where knowledge uploads come in.
By uploading files (PDFs, DOCs, TXT, etc.), your GPT can:
- Answer questions based on your business material
- Speak in your tone and style
- Cut down on repetitive manual responses
- Act as a trained assistant, contract reviewer, customer explainer, or internal helpdesk
Think of it as giving your GPT “homework.” You hand it your documents, and it quietly studies them behind the scenes so it can sound smart in front of your users.
Step-by-Step: How to Upload Documents to a Custom GPT
Prerequisite: You’ve already created your Custom GPT (via https://chat.openai.com/gpts). You’re now ready to add your own knowledge base by uploading documents.
Step 1: Go to the GPT Builder
Go to https://chat.openai.com/gpts. Click on your Custom GPT and select “Edit GPT.”
Step 2: Find the “Knowledge” Section
In the left-hand menu, select “Knowledge” and click “Upload files.”
Step 3: Add Your Files
Drag and drop or browse to upload your documents. Supported formats include .pdf, .docx, .txt, .md, .csv. You can upload up to 20 files with a combined size of 512 MB. You can ask ChatGPT to help you assess and convert documents into these formats if you need to with this prompt:
I want to use this document inside a Custom GPT as part of its Knowledge section. Please assess the content and do the following:
Identify if this content is suitable to be uploaded directly (e.g. clear, clean, complete), or if it needs to be rewritten, summarised, or broken into smaller chunks.
If the formatting is poor (e.g. tables, layout issues, scanned PDF style), convert it into clean, text-based markdown or plain text format that preserves all meaning and structure.
Remove any unnecessary elements such as headers/footers, page numbers, duplicated content, or visual formatting that won’t translate well into plain text.
Structure the output into a clean, well-labelled text file that can be uploaded into the Knowledge section of a Custom GPT (i.e. .txt or .md format). Use clear section titles and bullet points where appropriate.
Keep all the important content, but make sure it’s optimised for retrieval by a GPT model. That means using simple, clear language and logical structure.
Name the output file appropriately (e.g. “2025_PricingOverview.txt” or “Legal_Terms_Guide.md”).
Please begin by assessing the suitability of the input and then output a clean, upload-ready version.
[Optional Tip (if you’re uploading a file):
Start with:]
“Please assess the uploaded file using the instructions below…” and paste the prompt afterward.
Step 4: Check the File List
You’ll see a list of your uploaded files. Use the trash icon to remove any if needed. You can update this list at any time.
Step 5: Save and Publish
Click “Save” or “Publish” to apply your changes. Your GPT can now access your uploaded documents to answer relevant prompts.
What Kind of Files Work Best?
Ideal Files:
- Cleanly written PDFs (guides, SOPs, FAQs)
- Contracts and legal templates
- Onboarding documents, pricing sheets
- Internal wikis (exported to .txt or .md)
Avoid These:
- Scanned documents with images
- Slides with only images or no speaker notes
- Encrypted or locked PDFs
- Files full of links without explanations
Tip: For web pages, copy-paste the content into a clean .txt or .md file.
How the GPT Uses This Info
Your GPT will search the uploaded documents in real time when a relevant prompt is given. It doesn’t memorise the content — it retrieves from it. It performs best when the material is clearly written and structured.
Watch Outs
- No File Structuring = Confused GPT
If you upload a single giant PDF with 50 topics and poor formatting, the GPT will struggle. Break it into smaller, well-labelled files. - Bad Formatting = Bad Responses
If your file has unusual fonts, broken tables, or visual layouts (especially common in PDFs), the GPT may misread it. Clean formats like .txt, .docx, or markdown work best. - No Source Citations
By default, GPT won’t say where the information came from. If this matters, add an instruction like: “Always mention which document you’re referencing.” - File Limit
You can only upload 20 files per GPT. Curate carefully and consider trimming or combining related documents.
Curating the “Core Knowledge” for Best Results
Ask yourself:
- What do I want this GPT to do? Only upload documents relevant to those tasks.
- Will someone else use this? Include glossaries or context if needed.
- Is this content clear and self-contained? If not, simplify or split into manageable chunks.
Example Use Cases:
LegalGPT: Upload contracts, clause trackers, fallback templates
SalesGPT: Upload pitch decks, product specs, objection-handling guides
HRGPT: Upload company policies, onboarding FAQs
Bonus Tip: Pair With System Instructions
After uploading, adjust your GPT’s instructions to reflect how it should use that knowledge. Example: “You are a helpful assistant trained specifically on SQREEM’s legal contracts and internal SOPs. Always answer using information from the uploaded documents. If unsure, say ‘I’m not certain — please check with legal.’” You can also use the “Prompt Starter” section to load reusable queries.
Updating Your Knowledge Files Later
Return to “Edit GPT > Knowledge” anytime to remove outdated files or upload new ones. Save to apply changes. Your GPT will instantly use the latest content.
Version Control and Multiple GPTs
You can create multiple GPTs with different document sets, or use file naming conventions to stay organised. Examples:
01_PricingOverview_Q1-2025.txt
02_TOS_Updated_April2025.docx
03_FAQ_InternalOnly.md
What To Do Next
Now that your GPT has your content, test it by asking:
“Summarise our latest pricing model”
“What’s our refund policy?”
“Write a client email using our onboarding flow”
“Check clause 7.3 in the uploaded SOW template”
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How to Use the “Create an Action” Feature in Custom GPTs
This guide walks through the Create an Action feature in OpenAI’s GPT builder — enabling your GPT to call live APIs for real-time data or actions. Written for Asia’s business and tech professionals, it shows how to connect internal tools to GPTs in just a few clear steps.
Published
1 week agoon
May 20, 2025By
AIinAsia
Turn your GPT into a powerful API-aware assistant that can fetch data, trigger services, or complete tasks — all from inside the chat.
TL;DR — What You Need To Know
- “Actions” let your custom GPT interact with external APIs — think booking systems, CRMs, weather lookups or internal databases
- You define the API, describe it with an OpenAPI schema, and explain when and how the GPT should use it
- Ideal for businesses that want to automate workflows inside ChatGPT — without needing full app builds
- Common use cases across Asia include: order lookups, stock checks, HR systems, and appointment scheduling
- This guide walks you through building, testing, and deploying your first Action step by step
What Is a GPT Action?
Actions allow your GPT to call an external API endpoint during a conversation. For example:
“Can you check the current air quality in Jakarta?”
→ GPT sends a request to an API you defined
→ Returns real-time AQI data into the chat
This means your GPT isn’t just a static assistant — it becomes a live, interactive tool that can “do” things.
Step 1: Set Up Your Custom GPT
Start as usual:
- Go to: https://chat.openai.com/gpts
- Click “Create”
- Fill out your GPT’s name, instructions, and tone as needed
- Switch to the Configure tab
Step 2: Prepare Your API
You’ll need an existing web API to connect. This could be:
- A public API (like OpenWeather, Google Calendar, etc.)
- A private internal API (e.g., inventory, HR systems, internal bots)
- A no-code tool like Zapier or Make, which exposes endpoints
Make sure:
- It supports HTTPS
- It accepts and returns JSON
- You have the API key (if it requires auth)
Example Use Case:
Check a user’s leave balance via an HR API.
Step 3: Write Your OpenAPI Schema
This is how GPT knows what your API does. You describe it using the OpenAPI 3.0 format — a structured YAML or JSON file.
Here’s a simple example for a GET request to check leave days:
yamlCopyEditopenapi: 3.0.0
info:
title: HR API
version: 1.0.0
paths:
/leave-balance:
get:
summary: Check user's leave balance
parameters:
- in: query
name: employee_id
schema:
type: string
required: true
description: ID of the employee
responses:
'200':
description: Leave balance returned
content:
application/json:
schema:
type: object
properties:
remaining_days:
type: integer
Paste this into an .yaml
file or host it on a public URL (e.g., via GitHub Gist or a secure S3 bucket).
Step 4: Add the Action in GPT Builder
Back in the Configure tab:
- Scroll to “Actions”
- Click “Add Action”
- Paste your API’s base URL
- Paste or link to your OpenAPI schema
- Add a description for GPT — e.g., “Use this action to check leave balances when users ask about time off”
- Set authentication:
- No auth
- API key (via headers or query param)
- OAuth (advanced)
Once added, test the schema using GPT’s built-in validator.
Step 5: Write GPT Instructions to Use the Action
Update your GPT’s Instructions to explicitly describe when to use the action.
Example:
When a user asks about leave days, use the HR API to check their balance. Ask for their employee ID first. Do not guess.
This ensures GPT won’t try to call the API unless it’s appropriate.
Step 6: Test the Action
Switch to Preview GPT and type:
“How many leave days do I have left?”
→ GPT should ask for your employee ID
→ Then call the action
→ Then return the result, e.g. “You have 12 leave days remaining.”
Watch for:
- Correct input formatting
- Unexpected errors or failed calls
- GPT failing to use the action when it should
Fix instructions or the schema if anything breaks.
Step 7: Publish and Maintain
Once you’re confident:
- Hit Publish
- Choose Private, Link or Public visibility
- Keep your API uptime in mind — if the endpoint is down, GPT won’t function properly
- Monitor logs and rate limits if it’s a high-traffic GPT
Real-World Examples from Asia
- Singapore travel agencies integrating visa APIs for instant eligibility checks
- Malaysian e-commerce startups checking stock or delivery status via GPT
- Indonesian HR tech firms adding internal policy lookups via GPTs
- Thai insurance brokers offering premium calculators through live API calls
The best part? You can connect more than one action — allowing your GPT to call several services like a digital command centre.
Security Note
Always hide API keys and use headers or environment variables for private services. GPTs do not store user data, but you are responsible for how your API handles it.
Avoid exposing endpoints with write access (like deleting records or submitting payments) unless fully secured and monitored.
Final Thoughts: ChatGPT as Your API Concierge
With Actions, GPTs are no longer just helpful assistants — they’re functional bridges into your real systems. In Asia, where lean automation is everything, this may be the most powerful GPT feature yet.
Whether you’re triggering a report, checking a shipment, or logging a support ticket — if there’s an API for it, GPT can now do it.
So the question becomes: what internal service would you automate first?
You May Also Like:
- Build Your Own Agentic AI — No Coding Required
- Or tap here to try this now at ChatGPT.
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