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title: Advance Planning for AI Project Evaluation | daily.dev
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# Advance Planning for AI Project Evaluation

**[Towards Data Science](https://daily.dev/sources/tds)** · 7 min read · 2 upvotes · 0 comments

## Summary

Before building AI products, organizations must define clear objectives, establish measurable KPIs, and assess risk tolerance. Many teams skip this planning phase, leading to misaligned expectations and inadequate evaluation. Success requires systematic testing rather than relying on anecdotal feedback or "vibes." LLMs' nondeterministic nature makes upfront planning especially critical—teams must understand potential failure modes and decide if they can accept the inherent unpredictability. Setting evaluation criteria before development prevents gaming metrics and ensures measurement validity.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/advance-planning-for-ai-project-evaluation/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#testing](https://daily.dev/tags/testing), [#llm](https://daily.dev/tags/llm), [#project-management](https://daily.dev/tags/project-management)

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