An interesting property in the Z80 ISA is that bits and registers have up to 8 variations, and these out-of-order cases only involve offsets and one of those specific operands. Therefore, we can encode bits or registers as literals. With sufficient lookaheads, we can match up to the last hexadecimal byte, and create dedicated lookups for each case. The last literals can be reduced by generating a ligature that matches the suffix glyph. The end result was dozens more generated lookups for these cases (which can likely be grouped to reduce this number).
And finally, be transparent about it. Candidates deserve to know how AI is being used in your evaluation process — which tools are involved, what they're measuring, and how those results factor into decisions. Beyond just being the ethical baseline, transparency actually tends to improve the candidate experience. People are generally a lot more comfortable with AI evaluation when they understand what's going on, rather than feeling like they're being judged by some invisible black box.
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