Language model agents (LMAs) expanding on AutoGPT are a highly plausible route to AGI. This route has large potential timeline and proliferation downsides, but large alignment advantages relative to other realistic paths to AGI. LMAs allow layered safety measures, including externalized reasoning oversight, RLHF and similar alignment fine-tuning, and specifying top-level alignment goals in natural language. They are relatively interpretable, and the above approaches all have a low alignment tax, making voluntary adoption more likely. Here I focus on another advantage of aligning LMAs over other plausible routes to early AGI. This is the advantage of using separate language model instances in different roles. I propose internal independent review for the safety, alignment, and efficacy of plans. Such a review would consist of calling fresh instances of a language model with scripted prompts asking for critiques of plans with regard to accomplishing goals, including safety/alignment goals. This additional safety check seems to create a low alignment tax, since a similar check for efficacy will likely be helpful for capabilities. This type of review adds one additional layer of safety on top of RLHF, explicit alignment goals, and external review, all proposed elsewhere. This set of safety measures does not guarantee successful alignment. However, it does seem like the most practically viable set of alignment plans that we've got so far.