Unclear requirements mean burned tokens: an LLM is only as good as your context
romitheguru · x · 2026-09-21
Blogger romitheguru flags a common LLM misuse: users often don't know what output they want, yet expect surprisingly good results.
In a follow-up he explains that an LLM is a next-token generation machine whose response is driven by system prompt + context + current query — if your requirements aren't clear, you just keep burning tokens without getting good results. The takeaway: output quality is capped by how clearly you can express the task.
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