When I was talking about the power of smell on the radio, Speth, a Welsh speaker from Manchester, got in touch to say that in Welsh you can hear a smell as well as smell it. At first this sounded charming, if far-fetched. But the more I thought about it, the more sense it made. While I can’t – in English, anyway – exactly hear the smell of that Black Country bike shop in 1977, I can smell, hear and see it very clearly. I can feel it too. I can feel the shop man’s grip as he lifts me into the saddle. And I can hear him saying to my grandad: “Blimey, he’s a lump, isn’t he?” Ever sensitive about my weight, that was a sour note. But I’ll let it pass, because all I can feel, then and now, is the general joy.
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Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.