Crafting Context with Claude and Codex: The Birth of Arise & Shine Transporters
Wambugu Martin shares how he leveraged AI collaboration to bring the logistics platform, Arise & Shine Transporters, to life.
"Crafting Context with Claude and Codex: The Birth of Arise & Shine Transporters Wambugu Martin shares how he leveraged AI collaboration to bring the logistics platform, Arise & Shine Transporters, to life. ## Shifting from Frustration to Focus
In my journey with Arise & Shine Transporters, I started off feeling like a lone figure at the edge of an ocean. The sand and aggregate supply business in Thika was managing orders manually — tracking drivers' locations via phone calls and outdated paper records wasn't cutting it anymore.
I needed something that could seamlessly integrate fleet telemetry data from Protrack 365 and Cartrack Fleet APIs into a distance-aware pricing model, giving the owners visibility over each delivery. The solution had to be cost-efficient too; manual updates were impractical with growing volumes of orders."
A Fresh Look at AI Collaboration
Enter Claude and Codex — my initial hesitation was whether I could trust these tools for something as critical as building Arise & Shine Transporters, a real-world project in Kenya.
Claude suggested breaking down the distance pricing model using OpenAI's API. The idea was simple yet profound: set up dynamic rates based on distance traveled with adjustments for cost factors like fuel prices and delivery zones. I dove into implementing this concept myself but quickly realized it wasn't enough—distance alone didn’t capture all the nuances of a truck journey.
Discovering Real-World Solutions
Codex came in handy next, as we started exploring how to build context around telemetry data. We experimented with various anomaly detection algorithms for fleet tracking and even considered integrating them into real-time cost auditing features.
The breakthrough moment was when I realized that an AI-powered ops copilot could be the game-changer Arise & Shine Transporters needed. This feature would provide admin-level users live information about orders, drivers' locations, and route deviations—all in one place.
I began writing this integration point into `server/src/index.js`, where all my AI logic lived. The code was initially complex but rapidly simplified thanks to Claude's guidance on API interactions and Codex’s suggestions for more efficient model usage patterns."
Bringing It All Together
As I pushed the final lines of code, everything clicked in place. Arise & Shine Transporters went live with a system that could handle distance pricing dynamically without manual updates—making it easier than ever to manage orders across varying zones and conditions.
The moment was exhilarating yet bittersweet; the satisfaction from seeing my vision come together weighed heavily against the initial doubts about whether Claude or Codex would deliver on their promises. But now, looking back, I am grateful for that shift in mindset because those early challenges propelled me forward towards a solution that not only solved our immediate problem but also opened new possibilities for AI integration in everyday business.
The Human Side of Building with AI
Building Arise & Shine Transporters was more than just writing lines of code. It was navigating the real-world constraints and opportunities brought by leveraging these powerful tools like Claude, Codex, and Qwen. Each step felt both human and machine—collaborating to create tangible solutions that were not only practical but also intuitive for users.
The journey with Arise & Shine Transporters taught me a valuable lesson: no matter the complexity of the problem or the magnitude of change required, diving deep into each piece of code could yield insights and breakthroughs. It reminded me how AI can be harnessed as an extension of our own capabilities rather than just another tool in the box.
Today, Arise & Shine Transporters serves many like us who need a reliable system to manage their logistics needs efficiently—making every day smoother for those operating within this industry."
Visual Representation: A whiteboard surrounded by maps and GPS tracking symbols, with various AI models and coding snippets floating around it.
