GoKawiilCommentary explores 'make vs buy' economics for AI decision models like Jev 1.13
A blog post examines recent discussion around Jev, a family of AI models accessed via OpenRouter, focusing on its 'decision model' outputs. It describes three output types—choice, score, and noul—and demonstrates them with a sample API call to Jev 1.13 rating review sentiment on a 'Lukewarm' to 'Thrilled' scale.
GoKawiil's interpretation of the reporting above, not reported fact.
The piece frames AI decision models through Adam Smith's make-or-buy economics, suggesting developers may increasingly outsource structured judgment tasks—like scoring or probability estimation—to specialized models rather than building custom logic in-house. This framing implies a shift in how applications handle subjective evaluation, though the broader adoption trend is the author's own interpretation rather than a reported fact.
- Jev models support three structured output types: choice, score, and noul (probability of truth).
- A working example shows Jev 1.13 scoring review enthusiasm via the OpenRouter API.
- The commentary applies classical economic theory to argue for outsourcing decision logic to AI models.
Source: pncnmnp.github.io, 2026-10-18
Published there as: “To Make, or to Buy: The Economics of Decision Models”
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