A log of progress for the week of September 29, 2025.
Last week, we had our “eureka!” moment, successfully designing a custom AI pipeline with AWS Bedrock to solve the complex challenge of document processing. But a powerful AI model is only as good as the application built around it. This week was all about transitioning from that successful AI proof-of-concept to building a robust, scalable, and stable application core. It was a week of heavy engineering—translating the AI dream into foundational code.
The Big Bang: Scaffolding the Application
If last week was the design, this week was the build. The sprint kicked off with one of the most intensive development days of the project so far. On Tuesday, we committed the foundational code that brought the OCR pipeline to life. This wasn’t just about the AI model; it involved a massive effort across the entire stack:
Database Schema: A comprehensive set of database migrations were designed and executed, creating the backbone that will hold all our structured contract data—from properties and landlords to the tenants themselves.
API & Backend Services: We built out the necessary API routes and backend logic to handle everything from document uploads to managing the extracted data. This is the plumbing that makes the entire system work.
Frontend Foundations: The first landlord dashboard pages and UI components were scaffolded, creating the user-facing side of the feature.
By the end of the day on September 30th, the theoretical pipeline from Week 5 was a tangible, functional part of the application.
Stabilization and Architectural Alignment
After such a monumental push, we immediately shifted focus to stabilization and documentation. A rapid build-out must be followed by careful refinement to avoid technical debt. We spent time cleaning up configurations, improving developer ergonomics, and, most importantly, documenting the new architecture. Creating clear diagrams and notes ensures that as the system grows, it remains manageable and easy for any developer to understand.
Looking Ahead: From Data to Dialogue
With the core problem of data extraction now solved, the latter part of the week was spent on deep architectural planning. The quiet in the commit history was filled with whiteboarding sessions as we tackled the next logical question: Now that we have all this rich data, how do we make it truly useful and interactive?
Our focus shifted from the landlord’s problem of ingestion to the tenant’s experience. We began exploring how we could empower tenants, helping them navigate and understand the complex terms and conditions within their rental agreements. The seeds were planted for our next major AI feature—one that moves beyond simple data extraction and into the realm of intelligent, user-centric interaction.
This week was a critical bridge. We took the AI breakthrough from Week 5 and wrapped a robust application around it, setting the stage for the next evolution of the platform.