Raw LLM Responses

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Comment
Honestly, we need to catch up on the utilization side.  Feels like we have to really narrow down structuring prompts, writing code better for prompting, and streamlining MCPs for better integration in order to get the most out of our current LLMs.  I use Claude code and it feels incredibly powerful when it works but sometimes it is a total miss.  If we as engineers can mitigate those misses more often, what we have currently should be powerful enough to continue large jumps in velocity.
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Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyindustry_self
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_n7tdvfx","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"rdc_n7vkb0v","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"},{"id":"rdc_n7sy0ep","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"resignation"},{"id":"rdc_n7swfke","responsibility":"unclear","reasoning":"unclear","policy":"industry_self","emotion":"indifference"},{"id":"rdc_n7um8rj","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}]