much splashier FAQ answer (#1014)

## Description

<!-- describe the changes as bullet points -->

This is a personal opinion: I don't think we should suggest that people try to build Vapi in our FAQ, it's a defensive posture that doesn't inspire confidence.

Before:

![image.png](https://app.graphite.com/user-attachments/assets/b52d8376-3012-47e7-a5b2-7d1b3160cef4.png)

after:

![image.png](https://app.graphite.com/user-attachments/assets/756797eb-549a-4690-a6a4-2fecc51806de.png)



## Testing Steps

- [x] Run the app locally using `fern docs dev` or navigate to preview deployment
- [x] Ensure that the changed pages and code snippets work

Author: cellog

fern/snippets/faq-snippet.mdx

@@ -20,26 +20,21 @@ You can bring your own custom models for any part of the pipeline.
 Everything is interchangeable, mix & match to suit your usecase.
 
   </Accordion>
-  <Accordion title="Couldn’t I build this myself and save money?" icon="piggy-bank" iconType="solid" defaultOpen={false}>
+  <Accordion title="Why is Vapi best in class?" icon="piggy-bank" iconType="solid" defaultOpen={false}>
 
-You could (and the person writing this right now did, from scratch) — but there are good reasons for not doing so.
+Vapi solves problems of orchestration and call quality that dramatically improve the experience of your users. We've built extremely low-latency, highly intelligent steps that work with multiple model providers.
 
-Writing a great realtime voice AI application from scratch is a fairly challenging task (more on those challenges [here](/challenges-of-realtime-conversation)). Most of these challenges are not apparent until you face them, then you realize you are 3 weeks into a rabbit hole that may take months to properly solve out of.
-
-Think of Vapi as hiring a software engineering team for this hard problem, while you focus on what uniquely generates value for your voice AI application.
-
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-
-But to address cost, the vast majority of cost in running your application will come from provider cost (Speect-to-text, LLM, Text-to-speech) direct with vendors (Deepgram, OpenAI, ElevenLabs, etc) — where we add no fee (vendor cost passes-through). These would have to be incurred anyway.
+The vast majority of cost in running your application will come from provider cost (Speech-to-text, LLM, Text-to-speech) direct with vendors (Deepgram, OpenAI, ElevenLabs, etc) — where we add no fee (vendor cost passes-through). These would have to be incurred anyway.
 
 Vapi only charges its small fee on top of these for the continuous maintenance & improvement of these hardest components of your system (which would have costed you time to write/maintain).
 
 No matter what, some cost is inescapable (in money, time, etc) to solve this challenging technical problem.
 
-Our focus is solely on foundational Voice AI orchestration, & it’s what we put our full time and resources into.
+
 
 To learn more about Vapi’s pricing, you can visit our [pricing page](/pricing).
 
+
   </Accordion>
   <Accordion title="Is it going to be hard to set up?" icon="gear" iconType="solid" defaultOpen={false}>