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    <description>The latest articles on DEV Community by hijiwee (@hijiwee).</description>
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      <title>What I Look for in an AI API After the Demo</title>
      <dc:creator>hijiwee</dc:creator>
      <pubDate>Wed, 11 Nov 2026 10:38:28 +0000</pubDate>
      <link>https://dev.to/hijiwee/what-i-look-for-in-an-ai-api-after-the-demo-2bo2</link>
      <guid>https://dev.to/hijiwee/what-i-look-for-in-an-ai-api-after-the-demo-2bo2</guid>
      <description>&lt;p&gt;Hi DEV! I work on the business side of an AI API platform. One thing I’m interested in is how an AI model behaves once an app starts calling it through an API.&lt;/p&gt;

&lt;p&gt;Imagine a support agent clicks “Draft reply.” The support tool sends the ticket to the model through an API and waits for a draft. If the request takes 20 seconds, that’s 20 seconds the agent spends waiting. If it times out, the tool still has no draft, and the agent has to try again or write the reply by hand.&lt;/p&gt;

&lt;p&gt;Before rolling this out to a team, I’d try it with 20 typical tickets. I’d track three things: how long each request takes, how many requests time out, and how many drafts the team can use after a quick edit.&lt;/p&gt;

&lt;p&gt;That would give me a better sense of whether the API can support the team’s daily work.&lt;/p&gt;

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      <category>ai</category>
      <category>api</category>
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