I Used to Sleep with My Phone Under My Pillow

FH

Faisal Hourani

· 11 min read
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This is not a product announcement.

This is the story of why a product exists. It starts with a friend, a cabinet-making business, and a phone that never stopped buzzing.

I have been building software for 19 years. I have written code for startups, enterprises, and everything in between. I have shipped products that made money and products that made nothing. But I never built something because I watched a friend suffer — until AlwaysON.

The Friend Who Couldn't Put Down His Phone

His name is Chris. He runs a cabinet-making and kitchen renovation business. Solid work, fair prices, good reputation. The kind of business that grows through word of mouth in Malaysia.

Chris is brilliant at what he does. He can look at a kitchen and tell you exactly what it needs. He can estimate materials to the nearest RM50. He can manage a team of carpenters and deliver on time.

But Chris cannot answer 147 WhatsApp messages a day and still run his business.

I noticed it during a dinner. We were at a mamak stall — nasi goreng, teh tarik, the usual. Except Chris was not really there. Every two minutes, his phone buzzed. He would glance at it, type a quick reply, put it down, try to re-join the conversation, and then the phone would buzz again.

"How much for a full kitchen cabinet?" "Do you do quartz countertops?" "Can I see your portfolio?" "Are you available next month?" "What's the warranty?"

The same questions. Over and over. From different people. All day. All night.

"When does it stop?" I asked.

He laughed, but not the happy kind. "It doesn't."

He told me he literally slept with his phone under his pillow. Not as a figure of speech. Under the pillow, volume up, because if a customer messaged at midnight and he didn't reply by morning, they would message the next contractor on their list.

He was making good money. But he was miserable.

The 3 AM Realisation

I went home that night and couldn't sleep. Not because of my phone — because of his.

I kept thinking about the absurdity of the situation. Chris is a skilled tradesman. His value is in designing kitchens, managing installations, and ensuring quality. Instead, he spends 3–4 hours a day typing the same answers to the same questions.

"Yes, we do quartz countertops." "Here's our portfolio: [link]" "We're available from the 15th." "Warranty is 5 years on all cabinetry."

These are not complex questions. They do not require Chris's expertise. They require information that already exists — in his head, in his past messages, in his quotation templates. The information just needs to reach the right person at the right time.

At 3 AM, sitting in my home office in the dark, I opened my laptop and started writing.

Not code. Not yet. Just a list of every question Chris gets asked, and what the ideal answer looks like. Then I mapped out how a system could answer those questions automatically — not with a robotic "We will get back to you" but with actual, useful, specific answers.

"How much for a full kitchen cabinet set?" → "Kitchen cabinet sets typically range from RM8,000–25,000 depending on size, material, and design. For an accurate quote, I'd love to see your kitchen. Could you share a few photos? I'll prepare a free estimate within 24 hours."

That response is helpful. It gives a range. It asks for the next step. It moves the conversation forward. And it doesn't need Chris to type it at midnight.

The Prototype Nobody Asked For

I built the first version in two weeks. It was ugly. It was buggy. It ran on my personal laptop. But it worked.

I connected it to a test WhatsApp number and fed it everything I knew about Chris's business — his services, his pricing ranges, his portfolio, his availability, his warranty terms. Then I messaged it pretending to be a customer.

"Hi, do you do kitchen cabinets?"

The reply came back in 3 seconds:

"Yes, we specialise in custom kitchen cabinets. We use solid wood and premium laminate options, with prices typically ranging from RM8,000–25,000 depending on kitchen size and material choice. Would you like to see some of our recent projects?"

I stared at the screen. It was not perfect. But it was better than no reply. It was better than a reply that comes 6 hours later. It was infinitely better than "We will get back to you soon."

I called Chris and told him to try it.

He was sceptical. "Customers will know it's a robot."

"Maybe," I said. "Try it for a week."

The Week That Changed Everything

Chris ran the AI chatbot alongside his regular WhatsApp for one week. Every message came to both — the bot replied instantly, and Chris could jump in whenever he wanted.

Here is what happened:

Day 1: Chris was nervous. He read every AI response. He corrected two of them (the bot quoted a slightly wrong price range for a specific material). He still replied to most messages himself.

Day 2: He corrected one response and let the rest go. The customers did not complain. In fact, two of them responded faster than usual — because they had received instant answers instead of waiting.

Day 3: Chris stopped checking every response. He only looked at conversations where the bot flagged uncertainty — "I'm not sure about this one, let me check with the team."

Day 4: He went to a site visit for 3 hours. When he came back, the bot had handled 23 conversations. Two had booked site visits. One had sent kitchen photos for a quote.

Day 5: For the first time in months, Chris had dinner without checking his phone. His wife noticed before he did.

Day 6: He called me. "Can you make this work for my friend? He runs a renovation company."

Day 7: He called me again. "Actually, can you make this work for anyone?"

That question became AlwaysON.

Building for Malaysian Businesses

I could have built a generic chatbot. There are dozens of them. But I kept coming back to something I saw in Chris's experience and in every small business owner I talked to after.

Malaysian small businesses don't just need a chatbot. They need a system that understands how business works here.

Business in Malaysia runs on WhatsApp. Not email. Not web forms. Not phone calls. WhatsApp. The customer asks on WhatsApp. The quote goes on WhatsApp. The appointment gets confirmed on WhatsApp. The payment screenshot gets sent on WhatsApp.

So the tool needed to be WhatsApp-native. Not "also works with WhatsApp" — built around WhatsApp.

Malaysian customers write in Bahasa Rojak — a mix of Malay, English, Chinese, and abbreviations. "Brp harga utk facial?" needs to be understood as easily as "How much for a facial treatment?" A chatbot that only understands formal English is useless here.

Malaysian SMBs need more than just chat. They need bookings. They need a website. They need a way for customers to find them, message them, book them, and pay them — ideally without the business owner having to stitch together five different tools.

So that is what I built. An AI WhatsApp chatbot, a booking engine, and a website builder — in one platform, for Malaysian businesses, priced in ringgit.


If any of this sounds like your business, take the quiz. It takes 2 minutes and tells you exactly what AlwaysON can automate for your specific situation.


The First Real Customer

Chris was my beta tester, but the first paying customer was Picks and Rec — a pickleball court business.

Pickleball is exploding in Malaysia. Courts are popping up everywhere, and the operators face a familiar problem: customers WhatsApp to ask about court availability, pricing, and bookings — all day, every day.

The owner was spending hours managing WhatsApp inquiries about court slots. "Is Court 3 free at 7 PM?" "How much for 2 hours?" "Can I book for next Saturday?"

We set up AlwaysON for Picks and Rec. The AI chatbot handled court availability questions, the booking engine let customers reserve and pay for courts, and the website gave them an online presence they could share on social media.

Within the first month, the owner told me something I will never forget:

"I went for a holiday. Like, actually went. Didn't check my phone every 5 minutes."

That sentence is why I keep building.

What I Learned

I am not going to pretend AlwaysON is perfect. It is not. We are still a young platform. We have fewer features than some competitors. We have a smaller team. We make mistakes.

But I learned some things building this that I want to share honestly:

1. Small business owners are not looking for technology. They are looking for time.

Nobody wakes up thinking "I need an AI chatbot." They wake up thinking "I wish I didn't have to answer the same WhatsApp message 50 times today." The technology is the means. The time is the end.

2. Simple beats powerful.

In early versions, I built complex features — detailed analytics dashboards, multi-step workflow builders, advanced segmentation tools. Nobody used them. What people used: the chatbot that answers questions, the booking page that lets customers book, and the reminders that reduce no-shows. I stripped out the complexity and focused on what actually matters.

3. Trust takes time.

Business owners are cautious about letting a machine talk to their customers. This is their livelihood. If the chatbot says something wrong, they could lose a customer they spent years earning. The solution was not to promise perfection — it was to make it easy to monitor, correct, and improve the AI over time. And to always, always let the human take over when needed.

4. The Malaysian market is different.

WhatsApp dominance. Bahasa Rojak. Price sensitivity. Relationship-based business culture. These are not cosmetic differences — they are architectural ones. A tool built for the US or European market and localised with a translated interface will always feel foreign here.

Where We Are Now

AlwaysON is live and serving businesses across several categories — salons, clinics, tuition centres, sports facilities, and more. We are small. We are growing. We are learning from every customer what works and what doesn't.

I still write code most days. I still talk to customers directly. If you message our WhatsApp, there is a reasonable chance the AI will handle it. But if you ask to talk to the founder, I will be there.

I am not building this to become the next unicorn. I am building this because I watched a friend sleep with his phone under his pillow, and I knew it didn't have to be that way.

If you are a small business owner in Malaysia and your phone never stops buzzing — I built this for you.

Frequently Asked Questions

Is AlwaysON only for WhatsApp?

Currently, yes. WhatsApp is where Malaysian businesses live, so that is where we focused first. We may add other channels in the future, but only when we can do them justice. We would rather be excellent at one thing than mediocre at five.

Can the AI chatbot really understand my business?

It learns from the information you provide — your services, prices, policies, FAQs, and past conversations. The more specific information you give it, the more accurate it becomes. Most businesses reach 90%+ accuracy within 1–2 weeks of setup. For a deeper explanation, read about how AI chatbots work for small businesses.

What happens if the AI says something wrong?

You can monitor every conversation in real time and jump in at any point. The AI also knows its limits — when it is unsure about an answer, it tells the customer it will check with the team and flags the conversation for your attention. You can correct it, and it learns from the correction.

How is AlwaysON different from other chatbot tools?

Three things: it is built specifically for Malaysian businesses (BM support, Bahasa Rojak understanding, MYR pricing), it includes a booking engine and website builder alongside the chatbot (not just messaging), and it is genuinely simple to set up — no coding, no workflow builders, no two-week onboarding. See our comparison of WhatsApp automation tools for a detailed breakdown.

I am not tech-savvy. Can I still use this?

That is exactly who I built it for. Chris is a carpenter. The owner of Picks and Rec is a sports enthusiast. They are not tech people. If you can use WhatsApp, you can use AlwaysON.

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FH

Faisal Hourani

Founder of AlwaysON. 19 years building software for businesses. When he's not coding, he's probably helping a business owner automate their WhatsApp.

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