The author is seeking ways to measure the efficiency gains of an AI agent automating project plan creation. They plan to compare the time spent manually versus the AI's time, factoring in implementation costs. The goal is to scale this efficiency measurement across multiple projects.
Full Analysis
The core problem is how to measure and academically justify the efficiency gains of using an AI agent for project planning, as explained by /u/No-Cloud-5075. The author highlights the need to compare the time spent on manual project planning versus the AI's time, including the implementation phase such as 'prompting, programming, API, data etc.' It's like comparing the time it takes to cook a meal manually versus using a smart oven; you need to factor in the setup time for the smart oven. The innovative element here is the rigorous approach to quantifying the benefits, aiming to create a repeatable method applicable across different projects, similar to establishing a baseline to measure the effectiveness of the AI agent.
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