MadebyVK

I've been using CREAO for weeks now. Something clicked today: I asked it to draft an outreach email. It wrote it in my tone. The way I write, not the way an AI writes. Short sentences. No fluff. The sign-off I always use. I never asked for that today. It picked it up over weeks of conversations. That's the compounding effect. The more you use it, the less you explain. The less you explain, the faster it works. The faster it works, the more you use it. This is what "learns how you work" actually means. Not a toggle. Not a setting. Just time.

I think the interesting part is not when an agent works once. It’s when you run it again. The first time feels like you’re testing something. The second time feels like you’ve built something. That’s a pretty different feeling from just chatting with AI.

Your agent remembers you. CREAO has two layers of memory: → Thread notes — context for the task you're working on right now. Your approach, your decisions in this conversation. → Cross-thread memory — your preferences, habits, and context across every conversation. Permanently. Tell it you prefer bullet points over paragraphs. It remembers — in every future conversation. Mention your team's tools once. It knows next time. Your 10th conversation is better than your 1st. Because it knows how you work.

Weekend question: If you could automate one thing you do every week, THE most tedious, repetitive part of your work, what would it be? Not the fun parts. The boring ones.

@CreaoAI This is exactly what we’re seeing in our local community too. People overthink the first agent. But the best starting point is always: one repetitive task → clearly defined → done by an agent. That first re-run moment = mindset shift.

One week in. Here's what we've noticed watching people build: 1. The most successful first agents are embarrassingly simple. "Check these 5 accounts and sort by engagement." That's it. Start there. 2. The "aha" moment isn't the first build. It's the first re-run — when the agent runs again without you touching it. 3. Nobody reads the feature list first. They just start talking. If you haven't started: pick one task you do every week. Describe it. Be specific.

@CreaoAI Hot take—but this is exactly what we’re seeing on the ground. At Creao, the real differentiation isn’t the model. It’s everything around it: execution, memory, integrations, autonomy. We’re showing this live in our upcoming sessions in Indonesia 🇮🇩 👀

@GaoClark This kind of work matters more than any launch. As we grow the community in Indonesia, what people need isn’t just powerful AI— they need something that actually works, consistently. Good to see Creao focusing on that.

Hot take from an AI company: The model doesn't matter. Claude, GPT, Gemini. They're all smart enough for most tasks. The differences are marginal. What actually matters is everything around the model: Can it run the code it writes? Can it connect to your actual tools? Can it save its work somewhere you can actually access? Can you schedule it, share it, query past results? Can you turn a conversation into something that runs on its own? That's where 90% of AI tools stop. That's the entire product we built.

@CreaoAI This is powerful. Agent Files in Creao turns agents into systems with memory + context—not just one-off outputs. We’ll definitely showcase this in our upcoming Demo Night with The AI Collective Jakarta 🚀

Introducing Agent Files in CREAO 🔐⚡️ Give your agents secure, reliable context to generate consistent, personalized outputs—every time. Built with security and reliability at the core, so you can trust what your agents produce. #files-tab" target="_blank" rel="nofollow noopener">docs.creao.ai/features/agent… #CreaoAI

🚀 The most challenging—and exciting—time to be an engineer. Two months ago, I shared a note with the Creao team. It’s even more true now: software engineering is changing fast. AI is now part of how we design, build, test, and run systems. It accelerates everything—ideas, iteration, execution. But not everyone feels the same about it. Some are excited. Some feel pressure. Some are unsure what it means for their future. Here’s the reality: AI isn’t reducing the value of engineers. It’s shifting where the value is. At Creao, we’re leaning all the way in—we’re building as an AI-first company. What we’re learning: • Fast feedback > everything — if you need to deploy to test, you’re too slow • AI suggests, engineers decide — trade-offs, security, long-term thinking still matter • Signals matter — logs, tests, observability are non-negotiable • Automation = leverage — less manual work, more velocity • Judgment is the real job now Yes, AI can be wrong. Sometimes risky. The answer isn’t to step back—it’s to build tighter systems: better reviews, better tests, clearer constraints. This shift is real. It demands more from engineers—but also creates massive opportunity. The ones who adapt won’t just keep up. They’ll lead. 🔥 We just rebuilt Creao as a fully AI-native platform Built 100% with AI in the development loop 👉 creao.ai

@intuitiveml @CreaoAI @AICollectiveCo If you’re exploring AI in your workflow right now— What’s the biggest shift you’ve felt so far?

@intuitiveml @CreaoAI We’re bringing this into practice at: "CREAO Agents untuk Pemula — Demo Night" 🇮🇩 with The AI Collective Jakarta 🚀 @CreaoAI x @AICollectiveCo See how to go from idea → AI-native app (live) 👉 luma.com/aic-creao-demo…

When your agent builds something, you don't wait. You watch. The code is drafted line by line. Component by component. But that's not all. On its right? The file preview renders everything live. Dashboards. Documents. Charts. Slide decks. Code. PDFs. All streaming in real time. Interactive. Clickable. Downloadable. Not a loading spinner. Not "generating..." The actual output, building in front of you while you're still in the conversation. This is what it looks like when an agent works.

@CreaoAI This is the difference between waiting for output and working with an agent. Real-time visibility changes everything.

@CreaoAI This is where Creao stands out. Not just generating results, but building with you in real time.

Needed a competitive analysis with charts this morning. Described what I wanted. Watched the agent pull the data, write the code, and render the charts — live in the file preview. Saw each chart appear one by one. Halfway through, one chart wasn't what I needed. Said "change the second chart to a bar comparison instead." It adjusted. Still live. Still building. The output was interactive — clicked through the data, then downloaded the whole thing as a PDF. All inside one conversation. No context lost.