the intern framing works, with one catch we hit building grunz (coding agent): interns keep their onboarding, agents can lose it mid shift. when the context gets summarized to make room, the onboarding and even the original task can get squashed into something vague, and the agent starts the job over like it's day one. we tried fixing that by stuffing the onboarding back into the system prompt, which counted toward the limit and made it compact even more often, basically a loop. curious whether ai-loopguard would catch that kind of loop, since every step looks like progress from the inside