# @the.datascience.gal on Instagram

- **Type:** Image
- **Original URL:** https://www.instagram.com/p/DbGTejLk5s_
- **Gondola URL:** https://gondola.cc/posts/68122913-thedatasciencegal-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/686df84196.jpg
- **Posted:** 2026-07-22T14:27:58.000+00:00
- **Account Owner:** Aishwarya Srinivasan | Data & AI | LinkedIn Top Voice (@the.datascience.gal) — https://gondola.cc/the.datascience.gal

## Caption

Every AI Builder Needs To Learn Evals

Everyone asks:

“Which AI model is the smartest?”

Almost nobody asks:

“Will it actually work for my users?”

That’s the difference between benchmarks and evals.

📊 Benchmarks compare models on standard tests.

✅ Evals test whether your AI can solve your real-world problem.

Think of it like this:

🚗 A benchmark tells you someone passed the driving test.

🛣️ An eval tells you whether they can drive your car, on your roads, in your traffic.

That’s why so many AI demos look amazing...

...but fall apart the moment real customers start using them.

If you’re building AI products, agents, or automations, you shouldn’t ask:

❌ “Which model scores the highest?”

Instead ask:

✅ “Does it consistently solve my use case?”

That’s the question evals answer.

Save this post—you’ll look at AI products very differently after this.

Follow for daily AI concepts, tools, and engineering insights that actually matter.

#AI #ArtificialIntelligence #LLM #AIAgents #PromptEngineering

Comment “EVAL” and I’ll send you a free guide on how to evaluate AI apps like top AI teams.

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## Tags

llm, aiagents, promptengineering, ai, artificialintelligence

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