The week started with a visual itch I couldn't scratch. On Monday, the dashboard cards on the landing page and apps launcher were all wearing different shades. That always bugs me when I'm looking at something I want people to use. If the pages look related they should share the same visual language, not fight each other. So I put in a uniform gradient card style across the dashboards. One pass through the relevant files, fifty-two lines of new styling, sixty-nine lines of old styling I was happy to see the back of. The cards on both the apps launcher and the public landing page now use the same gradient treatment. No more patchwork. It is the kind of change you can only see if you are actually looking at the pages, which is the point. The backend API file went along for the ride since the card styling lives there too. Three files touched, done. A cleaner deck means the product looks like one thing instead of three people's best guesses pasted together.
By Wednesday, the focus shifted to OrchestrationDemo. The avatar blinking in the demo was driving me nuts. It was one of those visual glitches that looks minor to someone glancing at the demo for three seconds, but it made the whole thing feel brittle and unpolished every time you actually sat with it. Texture caching was the fix, and it took 1,753 lines added against 407 removed across 49 files. The root cause was straightforward. Every time the demo cycled through agent avatars, the textures got torn down and reloaded from scratch. With 49 files touching the pipeline from the database models through the workflow engine, the router, and the API routes, there were plenty of places where the old behavior could sneak back in. The seed agents file, docker compose configs, and the workflow routing docs all got updates to lock the caching in consistently. It was a day of plumbing work disguised as a visual fix. The avatar code touched almost every layer of the app, which is the kind of scope that makes you double check every path before calling it done.
Friday was about deletion. The headline is not about what I built, but what I ripped out. The Geeses and Atlas systems are gone. I spent the day clearing the board so The Colonel can take the stage. It is a relief to stop maintaining legacy ghosts. In ops-center, the removal was surgical but heavy. I deleted twenty-two files related to the old architecture, including the detailed documentation and agent specs that no longer apply. The diff shows a net loss of 7,277 lines. That is a lot of noise removed. I also updated the roadmap to reflect this shift, pointing the team toward The Colonel instead. The uc-cloud repo got the same treatment. I removed twenty files associated with Geeses and Atlas, dropping another 7,505 lines from the codebase. This was necessary housekeeping. The submodules were synced, and I added the planning documents for The Colonel to the CLAUDE.md file. I also created the implementation plan and GUI specification for the new system. The old tools are archived; the new tools are planned.
It was a day of plumbing work disguised as a visual fix.
Meanwhile, in the multistate-retirement-leads repo, the work was entirely forward-looking. I added a trial and invitation system, which required changes across 44 files. This is a significant feature, touching the backend routers for users, auth, contacts, invitations, and settings. The frontend context for authentication was updated to handle the new token flow. I also made the SSO token URL configurable from the backend, which gives us more flexibility in deployment. The invitation system is the key here. It allows us to onboard users smoothly without manual intervention. The domain discovery feature helps us segment users based on their organization. The UI improvements round out the experience, making the trial period feel professional and polished. This is the kind of work that pays off in reduced support tickets and happier users.
Saturday arrived and I decided to spend it building. Two repos, two commits, and both were heavy lifts. In loopnet-leads I shipped Stripe billing, an admin dashboard, CDV cache, and a UI overhaul. That one commit touched 47 files with 5,328 lines added and 380 removed. It was the real work of the day. I needed billing in because the product was leaking through the cracks, and admin controls to actually manage it. The CDV cache was a performance fix that had been nagging me for weeks, and the UI overhaul was mostly cleaning up years of accumulated slop. The migrations tell the story: billing credits columns, company enrichment tracking, an admin flag, a Stripe subscription ID field. Each one was a small piece of a bigger puzzle.
The Stripe integration itself was straightforward in theory. Charge people when they run out of credits, show them a usage page, give admins the ability to adjust things manually when someone complains. The billing API, the admin endpoints, the migration for the subscription ID column, all of it came together in that one commit. It felt good to ship something that actually closes a revenue loop instead of just adding features into the void.
On the ops-center side I pulled a different kind of lever. Colonel AI got a chat bubble, the multi-GPU dashboard got attention, and I cleaned up code that had been needing tidying for a while. That commit was 18,802 lines added, 11,961 removed across 134 files. That is not a small cleanup. The Colonel memory layer got rewritten with both Kuzu and Mem0 clients sitting side by side, the A2A server got updates, the auth dependencies were refactored, and the billing analytics API came in. The multi-GPU dashboard work was mostly about making the monitoring interface actually usable. When you are running multiple GPUs you need to see what is happening without logging into three different consoles. The dashboard should tell you everything at a glance. Eighteen thousand lines is a lot of churn for a Saturday. Some of it was new features, some of it was removing code that had served its purpose and was just in the way.
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. The most critical work happened in loopnet-leads. I realized the production environment was sitting on a liability.
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.
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
Real product captures — click any to enlarge.