I’m using Jev more than Opus 5.5 or GPT-6. Here’s why.

ℹ️ EPISODE INFO

Released

September 28, 2026

Duration

26m

Channel

How I AI

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

Jev is TypeSafe AI’s new decision model. It returns type-safe structured values (a choice, a score, a probability) instead of generated text, at 4 cents per million input tokens with no output charge. This week I ran it on five real projects: PR categorization, a meta-analysis of my own Claude and Codex sessions, Gmail triage, the ChatPRD product insights graph, and a live audience dashboard built from 4,500 YouTube comments. *What you’ll learn:*

1. What makes Jev fundamentally different from every other model I’ve used
2. How I analyzed 1,700 PRs for 9 cents and what I found out about where my engineering effort actually went
3. The personal meta-analysis you can run on your own Claude and Codex sessions right now
4. Why I stopped using Jev alone, and what I pair it with now
5. How I turned 4,500 YouTube comments into a searchable audience dashboard for almost nothing
6. The real-time app I built in an afternoon that shows something surprising about Jev’s speed
7. Why Jev’s pricing model is different from any LLM I’ve used, and what it makes practical to build
8. The ChatPRD product insights project: 1,100 signals, 200,000 classifications, and what it cost me

*Brought to you by:* OpenArt—An all-in-one AI creation platform for images, videos, music, audio, and more: https://openart.ai/suite/chat?utm_source=online&utm_medium=influencer&utm_campaign=infl-howiai-ga2-na-acq-web *In this episode, we cover:* (00:00) Jev launch and what makes it different from every other model (02:49) Type-safe values explained (05:28) Understanding Jev outputs (07:39) Use case 1: PR categorization and pairwise clustering (11:12) Use case 2: analyzing your own local Claude Code and Codex sessions (13:00) Use case 3: Gmail triage with Jev scoring and LLM follow-up (14:30) Use case 4: ChatPRD’s product insights graph (18:17) Demo: How I AI audience signal dashboard (22:14) Demo: voice-to-color emotion-mapping app (25:16) Jev week recap and what’s coming in episode 2 *Blog and detailed workflow walkthroughs from this episode:* Jev: AI Data Analysis and Product Insights: https://www.chatprd.ai/how-i-ai/jev-ai-data-analysis-product-insights ↳ Jev GitHub PR Analysis: https://www.chatprd.ai/how-i-ai/workflows/jev-github-pr-analysis ↳ Jev YouTube Comment Analysis: https://www.chatprd.ai/how-i-ai/workflows/jev-youtube-comment-analysis ↳ Jev Multi-Model Product Insights: https://www.chatprd.ai/how-i-ai/workflows/jev-multi-model-product-insights *Tools referenced:*

• Jev (TypeSafe AI): https://typesafe.ai
• Vercel: https://vercel.com/ai
• GitHub API: https://docs.github.com/en/rest
• YouTube Data API v3: https://developers.google.com/youtube/v3
• OpenAI Realtime Voice API: https://platform.openai.com/docs/guides/realtime
• Gemini 3.5 Flash-Lite: https://ai.google.dev/gemini-api/docs/models/gemini-3.5-flash-lite
• API Ninjas Quotes API: https://api-ninjas.com/api/quotes

*Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

🎤 SPEAKERS

• Claire Vo

  host

  Host of “How I AI,” sharing practical workflows and commentary on new AI models and tools.

🧾 EPISODE SUMMARY

In this episode of How I AI, featuring Claire Vo, I’m using Jev more than Opus 5.5 or GPT-6. Here’s why. explores Why Jev beats frontier chat models for fast, cheap decisions Claire Vo argues Jev is more useful than newer frontier chat models for many workflows because it’s a fast, cheap “decision model” that returns type-safe, predefined values instead of generated prose.

🔗 RELATED EPISODES

How the OpenAI team uses ChatGPT Sites daily

Jev: 8 real use cases this fast, cheap model

OpenAI DevDay 2026: Dots, Spaces, and ULTRAFAST

I reviewed Opus 5.5 and GPT-6 Sol live - and the results surprised me

Claude is BACK with Opus 5.5

Muse gets AI agent UX right