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👋 Hey builders,
A model launched last week that cannot write. No essays, no chat, no code — it only decides. And it just became the fastest-adopted model in Vercel's gateway history. Meanwhile the open-source crowd rebuilt it in three days. That's today's build.
🗺️ TODAY'S SITE MAP
The model that can't write text
Route one decision off your LLM in 5 minutes
The decision-schema prompt
Radar: the open clone war has started
Around the site: 4 quick hits
🔨 BREAKING GROUND
🔨 BREAKING GROUND
On September 15, a startup called TypeSafe AI launched Jev — the first "System One" model. It generates nothing. You send it a state (a document, a ticket, an agent's trace) plus typed questions, and it returns choices, scores, and yes/no probabilities — all in one parallel pass, in milliseconds. No tokens, no rambling, no schema violations.
Within 24 hours of hitting Vercel's AI Gateway it reached ~13% of paid teams — the fastest adoption in the gateway's history. Cloudflare, LangChain and Langfuse wired it in within three days, and Vercel is swapping it in as the safety reviewer for its own fx auto mode. Pricing: $0.042 per million input tokens, outputs free — and it's free on Vercel through September 25.
Why it matters: Most agent loops burn full LLM calls on what are really classification problems — route, retry, escalate, stop. Jev is the first serious product built on that insight.
My take: The 200x-faster headline is vendor math, and the "never hallucinates" claim only means "never off-schema." But the adoption curve is real. Watch the calibration, not the marketing.
Hype Scale: 🔨🔨🔨 (3/5 — genuine new category, vendor benchmarks unverified)
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How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
For its first CTV campaign, Jennifer Aniston’s DTC haircare brand LolaVie had a few non-negotiables. The campaign had to be simple. It had to demonstrate measurable impact. And it had to be full-funnel.
LolaVie used Roku Ads Manager to test and optimize creatives — reaching millions of potential customers at all stages of their purchase journeys. Roku Ads Manager helped the brand convey LolaVie’s playful voice while helping drive omnichannel sales across both ecommerce and retail touchpoints.
The campaign included an Action Ad overlay that let viewers shop directly from their TVs by clicking OK on their Roku remote. This guided them to the website to buy LolaVie products.
Discover how Roku Ads Manager helped LolaVie drive big sales and customer growth with self-serve TV ads.
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.
🏗️ AROUND THE SITE
Claude Code now reads AGENTS.md → The cross-agent instruction standard lands in Anthropic’s tooling — one config file for Codex, Cursor, Gemini CLI and Claude Code. The two-file tax is over.
The archive that rescues models from deletion → Pirate Face preserves open-weight LLMs facing the delete button. HN gave it ~456 points of loud approval.
**[OpenAI forecasts a ~36B revenue this year, 856B of compute spend between now and then.
Anthropic’s $1M protein-design contest closes Wednesday → 5,000+ designs get real wet-lab validation. If you build for bio, Sept 24 is your deadline.
⚡ THE 5-MINUTE BUILD
Route one decision off your LLM — free, this week
Pick one recurring decision in your project. Route A-or-B, escalate-or-continue, safe-or-not. If the answer is a fixed set of options, it qualifies.
Write it as a schema. The options list, plus what “unsure” should do. Three lines of JSON.
Call Jev through Vercel AI Gateway (
typesafe-ai/jev) — free through September 25, no separate SDK needed if you’re on the current AI SDK.Log the probability, set a threshold. Below it, fall back to your LLM or a human. That confidence value is the whole point.
Compare one day of traffic. Latency and cost of the decision step, before vs after. Keep whichever wins.
The rule: If the output is a choice from a known set, it’s a decision — not a generation. Stop paying generation prices for it.
📋 THE BLUEPRINT
The open-source pair programmer in your terminal. Aider edits real codebases with your models, tracks every change in git, and costs nothing. → Grab it →
Free courses from the people who build the models. Hugging Face Learn runs beginner to advanced — agents, RAG, fine-tuning — no paywall. → Grab it →
One key, every model. OpenRouter routes one API key across dozens of models with a free tier to start experimenting. → Grab it →
🧭 HIDDEN GEMS
You are a decision architect. Take my workflow below and find every point
where the answer is really a choice from a fixed set (not free text).
For each one, output:
1. DECISION NAME
2. TYPE: Choice | Score | Boolean
3. OPTIONS: the exact allowed answers (max 10)
4. INPUT: the minimum context needed to decide
5. THRESHOLD: the confidence below which a human should review it
6. COST OF BEING WRONG: low | medium | high
Then rank them by "times per day × cost of a full LLM call".
My workflow: [DESCRIBE YOUR PIPELINE, e.g. "support tickets get
classified, drafted by an LLM, then reviewed by a human"]Why it works: forcing TYPE + OPTIONS turns vague automation into schema-checked calls — the exact shape decision models accept.
🧰 THE TOOLBOX
📡 SITE RADAR
Jev is closed — so the open crowd rebuilt it in 72 hours → Laya (Apache 2.0, 421M params, multilingual) leads a wave of open System One models — Von, openJev, kev — now fighting on a community benchmark of 2,000 typed decisions. Some clones claim wins over the original. 🟠 HN 1.9k pts · 🔴 r/LocalLLaMA benchmark threads · 🐙 clones shipping daily
Bend: the language that blocks AI mistakes with proofs → A Rust-like language with dependent types that compiles to GPU kernels — code that’s correct-by-construction, not correct-by-vibes. Back on HN’s front page this week. 🟠 603 pts · 🔴 PL + AI-coding crossover debate
📐 ONE TERM A DAY
Today’s term: System One model
Plain English: Psychologists split thinking into System 1 — fast, instinctive — and System 2 — slow, deliberate. LLMs are System 2. A System One model is the fast reflex: see the situation, return the call, no monologue.
Why you should care: Your agent stack needs both. The builders winning on cost are learning which is which.
FREE RESOURCES
1,000 Claude AI prompts, 40 templates, 6 frameworks. Free Starter Pack and Premium Edition.
The checklist your agent is probably failing. OWASP's Top 10 for Agentic Applications, 2026 edition, is the free security standard for AI agents — and almost nobody shipping agents has read it. → genai.owasp.org
A CLI that logs every prompt you've ever sent. Simon Willison's
llmwrites each request and response to a SQLite file as you go, so your entire AI history becomes something you can query in SQL. One install, free forever. → llm.datasette.io
21 free lessons, first prompt to working agent. Microsoft's Generative AI for Beginners covers RAG, agents and prompt engineering with code that actually runs. No signup, no paywall. → github.com/microsoft/generative-ai-for-beginners
💬 Reply with one word: would you swap one LLM call for a decision model today? YES / NO
Tools down.
— Swati, ByteBuilders