<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: zltokens</title>
    <description>The latest articles on DEV Community by zltokens (@baozhang-zltokens).</description>
    <link>https://dev.to/baozhang-zltokens</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4102356%2F6543816a-25af-4aed-9879-5c96ff00b27b.png</url>
      <title>DEV Community: zltokens</title>
      <link>https://dev.to/baozhang-zltokens</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/baozhang-zltokens"/>
    <language>en</language>
    <item>
      <title>Stop Sending Every Small Task to Your Strongest Model</title>
      <dc:creator>zltokens</dc:creator>
      <pubDate>Sun, 06 Sep 2026 16:57:39 +0000</pubDate>
      <link>https://dev.to/baozhang-zltokens/stop-sending-every-small-task-to-your-strongest-model-2f2e</link>
      <guid>https://dev.to/baozhang-zltokens/stop-sending-every-small-task-to-your-strongest-model-2f2e</guid>
      <description>&lt;p&gt;Support classification, summarization, and structured extraction often run on a flagship model for a boring reason: the project connected one model early, and every later feature inherited it.&lt;/p&gt;

&lt;p&gt;If you want to reduce AI cost, the first move is not replacing every request with a cheaper model. It is building a task-routing table.&lt;/p&gt;

&lt;h2&gt;
  
  
  Start with three task tiers
&lt;/h2&gt;

&lt;div class="table-wrapper-paragraph"&gt;&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;Task&lt;/th&gt;
&lt;th&gt;Default path&lt;/th&gt;
&lt;th&gt;Escalate when&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;Classification, short summaries, field extraction&lt;/td&gt;
&lt;td&gt;Validate an efficient model first&lt;/td&gt;
&lt;td&gt;Output fails, intent is unclear, or the rule does not apply&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;Knowledge-base Q&amp;amp;A, everyday coding help&lt;/td&gt;
&lt;td&gt;Use a route that meets the quality bar&lt;/td&gt;
&lt;td&gt;Grounding is missing or reasoning gets complex&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;Critical customers, complex code, high-risk decisions&lt;/td&gt;
&lt;td&gt;Stronger model or human review&lt;/td&gt;
&lt;td&gt;Do not force a downgrade&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;&lt;/div&gt;

&lt;p&gt;The third column matters as much as the first two.&lt;/p&gt;

&lt;p&gt;“If it is not here tomorrow, I will decide whether to ask for a refund” should not be forced into either “refund” or “shipping.” It needs escalation or a human path.&lt;/p&gt;

&lt;h2&gt;
  
  
  Start automation with rules you can explain
&lt;/h2&gt;

&lt;p&gt;The most useful kind of automatic model selection is not a black box that guesses every business intent. It begins with explicit task paths.&lt;/p&gt;

&lt;p&gt;A support classifier can use one validated efficient route. A knowledge-base answer can use another. A critical content review can have a clear escalation rule.&lt;/p&gt;

&lt;p&gt;zltokens can help a team put that routing table into its API workflow, so requests follow agreed rules. Teams can then inspect the model, usage, errors, and final charge in their usage records.&lt;/p&gt;

&lt;p&gt;The practical benefit is simple: your cost is no longer determined by whoever last changed the default model.&lt;/p&gt;

&lt;p&gt;Disclosure: I work on the zltokens team. This article was AI-assisted and human-reviewed. Model availability, access, pricing, and outcomes should be verified against the relevant account and real test cases.&lt;/p&gt;

&lt;p&gt;To start with one controlled request, see the &lt;a href="https://www.zltokens.com/en/docs/first-api-request?utm_source=devto&amp;amp;utm_medium=organic_content&amp;amp;utm_campaign=task_routing_20260905&amp;amp;utm_content=routing_method_a" rel="noopener noreferrer"&gt;zltokens first-request guide&lt;/a&gt;.&lt;/p&gt;

</description>
      <category>ai</category>
      <category>api</category>
      <category>llm</category>
      <category>discuss</category>
    </item>
  </channel>
</rss>
