I've tried a few things that I know are possible (multiplayer FPS with client-side prediction), but the overall challenge still persists. There is no easy way to rapidly iterate this architecture with an agent unless you already have massively deep pools of experience to draw from. Launching this system into the real world is even more challenging than building it.

For many problems, the LLMs look like they might be making progress, but once you zoom out far enough you realize it's just pushing the toothpaste around in the same tube with the cap still on. The mass of the overall system is not changing despite the appearance of localized progress.

If your primary source of identity was gatekeeping the Pantone colors of the various office furniture, then yes perhaps the challenge is now gone. But, if you were focused on mission and 'big picture' (what furniture and why), it's plausible that the challenge could actually increase in its intensity.