Divide and conquer essentially, is what I've found so far to work best. Split things into smaller and smaller chunks to independently be verified, double-check everything, then coalesce upwards with verified summarizations. Have benchmarks for every single task and sub-task that will happen everywhere a LLM is involved, so you can measure improvements. Takes a ton more effort and tokens in the system itself obviously, but if you're not paying per token, it seems to work pretty well, albeit feels slightly over-engineered already.

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