How a Prompt Helped Me Avoid Losing Clients
The author shares how adding a 'chain of thought' prompt to their AI model significantly improved the quality of responses, preventing lost clients due to superficial answers.
Why it matters
This technique can help AI developers improve the quality and usefulness of their model's responses, leading to better client satisfaction and fewer lost contracts.
Key Points
- 1The author lost a $1200 contract due to 'superficial' AI-generated responses
- 2Adding a prompt to have the model list contradictions, choose an approach, and then solve the problem improved response quality by 47%
- 3The 'chain of thought' approach made the AI model analyze the task like an experienced consultant
Details
The author, an experienced AI developer, was frustrated by their AI model consistently providing superficial responses that led to lost clients. After one particularly costly incident, they decided to revise their prompt, adding a step where the model first lists all possible contradictions in the task, then chooses an approach, and finally solves the problem. This 40-minute change resulted in the client approving the draft without any edits, a dramatic improvement over previous iterations. The author found that the 'chain of thought' approach made the AI model analyze the task more thoroughly, like an experienced human consultant, leading to higher-quality responses that were 47% more effective than the previous superficial answers.
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