Settling In To My Next Job as an AI Developer
The Transition: A New Chapter, Familiar Mission
Starting a new job as an AI Developer feels a lot like starting a new project: full of potential, slightly uncertain, and quietly thrilling.
After my time at Diliman Labs and countless builds through Vibe Coders PH, I've learned that no two roles are ever the same, even if they share the same title. Each position stretches a different muscle, teaches a new rhythm, and reminds you why you started building in the first place.
Settling into this new company has been just that — a mix of rediscovery and refinement.
The Setup: Exploring New AI Tools and Developer Platforms
One of the first things that stood out in my new role was the access to cutting-edge AI tools and developer platforms.
From Cursor and Codex to n8n and ElevenLabs, the playground just got bigger. Each tool feels like an extension of thought, helping me automate, design, and experiment faster than ever.
It's the kind of environment that lets ideas flow naturally. You don't just code anymore; you compose.
The Task: Designing the Company Chatbot
My first major assignment was to design the company's AI chatbot. It's a familiar challenge, but one that never loses its excitement.
Thankfully, this wasn't new territory. At Diliman Labs, we built systems that helped clients communicate better through automation. At VibeCoders PH, I worked on open-source chatbot projects that explored user experience and conversational design.
So when I was asked to build one here, it didn't feel like starting from scratch. It felt like continuing a conversation I've been having for years.
The exciting part isn't just about writing prompts or setting up APIs. It's about shaping how people interact with AI every day — designing something that's helpful, human, and dynamic.
The People: Building Connections That Matter
Every new job comes with its own quiet challenge — connecting with new people.
No matter how advanced your stack is, you can't automate human connection. Thankfully, this has been the easiest part of all.
People here have been warm, collaborative, and genuinely curious about what I bring to the table. I've had conversations that start with code and end with shared stories and ideas.
It reminded me that workplace culture isn't built by policy or process alone. It's built through people who care about what they're building — and who they're building it with.
The Adjustment: Learning to Flow, Not Force
Transitions are rarely seamless. There are always new workflows to learn, systems to adapt to, and teammates to understand.
But I've realized that settling in isn't about proving yourself fast. It's about finding your rhythm and aligning your strengths with the team's flow.
Once you find that rhythm, things start to click: the tools make more sense, projects move smoother, and collaboration becomes second nature.
The Bigger Picture: Growth Through Every Role
This experience reminded me of something I learned early in my career — every environment you join becomes part of your AI chain.
Each tool, teammate, and project adds a new link that strengthens how you build, think, and lead.
This new job isn't just a continuation of what I've done before; it's an evolution of it.
New stack. New people. Same curiosity driving everything forward.
And that's what makes this journey worth it.
Final Thoughts: Rediscovering Purpose Through Practice
Settling into this new company has been more than just onboarding. It's been a rediscovery.
Rediscovering how I build. How I collaborate. How I grow.
If there's one thing I've learned so far, it's this:
You don't just adapt to a new environment — you let it shape the next version of you.
And as I keep building, learning, and connecting, I can already tell this version will be my favorite one yet.
📝 Ready to Explore Your Own AI Journey?
- → Start with one new tool. See how it fits into your process.
- → Then connect it to the next.
- → Before long, you'll have a system that grows with you.