Sunday is usually for resting, but the build log says I made five commits across two repos. The headline wasn't a new feature flash; it was making the existing machinery actually work in the wild without leaking secrets or crashing on deployment. I spent the day tightening the screws on the infrastructure and adding a persistent chat layer to the retirement leads project.
The most critical work happened in loopnet-leads. I realized the production environment was sitting on a liability. The Stripe keys were exposed in the codebase. That is not how you sleep at night. I stripped those keys out, updated the environment examples, and hardened the Docker and Nginx configurations for production. It was a boring but necessary exercise in paranoia. If you want to sell things to people, you have to make sure you aren't handing them the keys to the kingdom on a silver platter.
Alongside the security cleanup, I finally got the self-hosted LLM pipeline running. I integrated Granite 2B and GPT-OSS 20B into the agent system. This involved rewriting the LLM provider logic, updating the model tiers, and fixing the scraper agents to talk to the new models correctly. It is a lot of moving parts. The LinkedIn researcher and website scraper now route through a centralized model configuration. It is cleaner than the previous patchwork approach. I am no longer guessing which model is being used for which task. The code reflects the intent.
I realized the production environment was sitting on a liability.
On the multistate-retirement-leads side, the big story was the chat feature. I wanted a persistent AI chat that actually remembers the conversation. I built out a dedicated page, updated the routing, and created the database schema for conversation history. It involved touching the backend routers, the AI service tools, and the entire frontend chat component suite. The user can now open a chat, talk to the AI, and come back later to see what was said. It feels like a real product feature now, not just a toy widget.
I also spent some time fixing the deployment headaches. I removed hardcoded domain references from the backend and frontend. This makes the app portable. I can point it at any domain and it should just work. I also migrated the branding to centerdeep.online. This meant updating the favicon assets, the HTML title, and the deployment configs. It is a small thing, but having the correct branding and a flexible domain setup removes friction when I need to spin up a new instance or fix a typo.
The numbers don't lie. The chat feature added over 2,000 lines of code. The LLM pipeline changed 16 files. The security fix touched 7 files. It was a day of consolidation. I am not chasing shiny new ideas today. I am making sure the foundation is solid. The security is tighter, the LLMs are integrated, and the chat is persistent. The rest is just maintenance.
Today was about turning prototypes into deployable, secure software. The pipes are hard, the chat is live, and the keys are hidden.
Real product captures — click any to enlarge.