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Introducing Jev + Orthogonal. Describe what you need. Jev finds the right API in seconds. 1,000+ endpoints across 50+ providers. Ready to use. Pay as you go. Live now 👇

Christian Pickett

1,764 subscribers

98,994 次观看 • 1 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

31 条评论

Christian Pickett 的头像

Christian Pickett1 天前

Find the right API and start using it right away.

kevin 的头像

kevin1 天前

🔥🔥🔥

Christian Pickett 的头像

Christian Pickett1 天前

😤

Manav Modi 的头像

Manav Modi1 天前

love itt

Christian Pickett 的头像

Christian Pickett1 天前

orthogonal x agentphone!

bobby abbott 的头像

bobby abbott1 天前

Great addition!

Christian Pickett 的头像

Christian Pickett1 天前

orthogonal x tako!

Ted | unfair.so 的头像

Ted | unfair.so1 天前

this is where tools matter

Shiv 的头像

Shiv1 天前

This is awesome 👏

Christian Pickett 的头像

Christian Pickett1 天前

👨‍🍳

Abhinav Gopal 的头像

Abhinav Gopal1 天前

Insane. How do you get an api onboarded?

Christian Pickett 的头像

Christian Pickett23 小时前

dm us 👀 we are adding providers weekly.

Adi Singh 的头像

Adi Singh1 天前

cool!

Christian Pickett 的头像

Christian Pickett1 天前

orthogonal x agentmail!

Meet Modi 的头像

Meet Modi1 天前

sickk

Christian Pickett 的头像

Christian Pickett1 天前

orthogonal x agentphone!

Frank Sondors 🥓 | The Machine 的头像

Frank Sondors 🥓 | The Machine1 天前

Wow, pretty cool 😎

Christian Pickett 的头像

Christian Pickett1 天前

orthogonal x salesforge!

Virat Singh 的头像

Virat Singh22 小时前

Great way to use Jev 🚀

Benjamin Woodruff 的头像

Benjamin Woodruff23 小时前

Awesome application of Jev!

Tbo | Male UGC creator 的头像

Tbo | Male UGC creator1 天前

About to hassle some brands with this!

Christian Pickett 的头像

Christian Pickett1 天前

lfg!

Manan Jaiswal 的头像

Manan Jaiswal1 天前

damn, clean

Binoy Perera 的头像

Binoy Perera1 天前

Super useful!

Christian Pickett 的头像

Christian Pickett1 天前

orthogonal x agentmail!

manish · building AgentWorks 的头像

manish · building AgentWorks1 天前

Congrats on shipping Jev and Orthogonal

.0.9.0 的头像

.0.9.01 天前

love it! 🔥

Brendan Ryan 的头像

Brendan Ryan20 小时前

🙇‍♂️🙇‍♂️🙇‍♂️

Poopman (💩🧱✨) 的头像

Poopman (💩🧱✨)20 小时前

👀👀

Jay Yu 🐟 的头像

Jay Yu 🐟20 小时前

woahhh this is 🔥🔥🔥

Adele Singh 的头像

Adele Singh1 天前

I'm curious about the 1,000+ endpoints. How do you decide which API to use for a specific task?

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Introducing Jev Model Router for Claude Code This Claude Code Mod lets you use Jev through its direct TypeSafe AI API or Vercel AI Gateway With every request you send to Claude Code, Jev classifies the subagent model, main model (only at session start to avoid breaking the cache), and effort level Install it with one command: npx claude-code-templates@latest --mod productivity/jev-model-router Full Mod details:

Introducing Jev Model Router for Claude Code This Claude Code Mod lets you use Jev through its direct TypeSafe AI API or Vercel AI Gateway With every request you send to Claude Code, Jev classifies the subagent model, main model (only at session start to avoid breaking the cache), and effort level Install it with one command: npx claude-code-templates@latest --mod productivity/jev-model-router Full Mod details:

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Introducing Instant Apps — your Tasklet agent can now build live, interactive apps for you on-demand. Describe what you need & get the perfect custom UI in seconds — connected to your real, live data. 🧵

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Tasklet

12,599,983 次观看 • 7 个月前

🎉 To no one's surprise, Jev support just landed in TanStack AI via `decide()`, our new API for typed choices, scores, and booleans. We're excited to use this new API with more models soon, but for now the "jevolution" is in full swing! Jev on, ya'll.

🎉 To no one's surprise, Jev support just landed in TanStack AI via `decide()`, our new API for typed choices, scores, and booleans. We're excited to use this new API with more models soon, but for now the "jevolution" is in full swing! Jev on, ya'll.

TANSTACK

39,304 次观看 • 4 天前

Introducing "Nice Chat" ✨💖 The first chatroom powered by Jev that only let's you send nice things Jev by TypeSafe AI evaluates your chat in realtime to make sure it's positive. Use debug mode to see the actual vectors for each message.

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Jared Zoneraich

20,781 次观看 • 4 天前

Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. 1. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. 2. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. 3. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. 4. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. 6. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell—great for hooking up to crawlers, CI, and data pipelines. 7. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. 8. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. 10. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. 1. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. 2. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. 3. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. 4. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. 6. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell—great for hooking up to crawlers, CI, and data pipelines. 7. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. 8. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. 10. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

194,422 次观看 • 3 天前

If you are confused about why 𝗝𝗲𝘃 is being called the "Internet" moment for the AI industry. This is 100% worth your time. In fact, you should watch it: It tells LLMs what to do next, in milliseconds & at almost zero cost. If you set it up correctly, you will have the AI engineer’s setup for 2028. How to set up & use Jev (to actually get the 100x): 1. Join the waitlist; it's fairly quick: typesafe .ai. 2. Then go to Claude Code or Codex. 3. Choose Opus 5-Low or Sol-Low. 4. Copy and paste this prompt: "[claude or codex] plugin marketplace add typesafe-ai/skills [claude or codex] plugin install typesafe@typesafe-ai" 5. When you type /typesafe, the skill shows up. 6. Paste your API key once and click "Allow" 7. Start with $5 in free credit. It's hard to spend more. ----- Now, here are the 3 ways to actually use Jev: 1. Jev for Linkedin I have 38,000 connections & invitations on LinkedIn. I have a new company to launch. I need to find a couple of hundred people to message. to do while saving time: > Export your LinkedIn connections and invitations. > Connect Claude to GitHub, Vercel & Apify. > Create an Apify API key to enrich your data. > Go to LinkedIn Settings → Data privacy. > Get a copy. LinkedIn will email you a ZIP file. > Open the file & find the Connections CSVs. > Upload the files to Jev. > Use Jev to classify your contacts. > Review the shortlist. 2. Jev for Gmail To go through all of my Gmail contacts and email the right people. > Go to Google Contacts. Open Other contacts. > Select all contacts. Export them. > Upload the file to Claude Code or Codex. > Use Jev to sort them into: Keep, Review, Remove and Review everything before removing anything. 3. You got lost in Claude Code, GitHub, Vercel, Apify, Jev, Typesafe. I feel you. It is overwhelming. That’s why I included the entire copy-and-paste prompt for each use case in the newsletter: A 45-second TL;DR by Matija Sosic.

If you are confused about why 𝗝𝗲𝘃 is being called the "Internet" moment for the AI industry. This is 100% worth your time. In fact, you should watch it: It tells LLMs what to do next, in milliseconds & at almost zero cost. If you set it up correctly, you will have the AI engineer’s setup for 2028. How to set up & use Jev (to actually get the 100x): 1. Join the waitlist; it's fairly quick: typesafe .ai. 2. Then go to Claude Code or Codex. 3. Choose Opus 5-Low or Sol-Low. 4. Copy and paste this prompt: "[claude or codex] plugin marketplace add typesafe-ai/skills [claude or codex] plugin install typesafe@typesafe-ai" 5. When you type /typesafe, the skill shows up. 6. Paste your API key once and click "Allow" 7. Start with $5 in free credit. It's hard to spend more. ----- Now, here are the 3 ways to actually use Jev: 1. Jev for Linkedin I have 38,000 connections & invitations on LinkedIn. I have a new company to launch. I need to find a couple of hundred people to message. to do while saving time: > Export your LinkedIn connections and invitations. > Connect Claude to GitHub, Vercel & Apify. > Create an Apify API key to enrich your data. > Go to LinkedIn Settings → Data privacy. > Get a copy. LinkedIn will email you a ZIP file. > Open the file & find the Connections CSVs. > Upload the files to Jev. > Use Jev to classify your contacts. > Review the shortlist. 2. Jev for Gmail To go through all of my Gmail contacts and email the right people. > Go to Google Contacts. Open Other contacts. > Select all contacts. Export them. > Upload the file to Claude Code or Codex. > Use Jev to sort them into: Keep, Review, Remove and Review everything before removing anything. 3. You got lost in Claude Code, GitHub, Vercel, Apify, Jev, Typesafe. I feel you. It is overwhelming. That’s why I included the entire copy-and-paste prompt for each use case in the newsletter: A 45-second TL;DR by Matija Sosic.

Ruben Hassid

167,306 次观看 • 3 天前

Thanks to Jev, you can now write workflows in plain English and run them instantly like code. I spent the day feeding it descriptions of tasks and it spit out workflows across hundreds of apps faster than I could read them. An agent could do this already, in 30 seconds, for a dollar, differently every run. Jev does it in two seconds, for free, the same way every time.

Thanks to Jev, you can now write workflows in plain English and run them instantly like code. I spent the day feeding it descriptions of tasks and it spit out workflows across hundreds of apps faster than I could read them. An agent could do this already, in 30 seconds, for a dollar, differently every run. Jev does it in two seconds, for free, the same way every time.

Gil Feig

60,209 次观看 • 4 天前

Introducing Jitter AI ✨ Don't search for the right creative tool. Build it. Just type your idea and get a ready-to-use effect in seconds. Live today 👇

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Jitter

309,877 次观看 • 4 个月前

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

314,779 次观看 • 2 天前

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code era. Claude Code is still part of the assistance era - Jev is the next step Jev is x200 faster, x400 cheaper and has 0 hallucination. This is what comes after RLHF" In 17 minutes he explains why every model you use has a human-shaped flaw baked into it and why Jev is better worth more than a $500 Claude Code engineering course watch today, then read how to actually boost yourself x100 with Jev in the post below

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code era. Claude Code is still part of the assistance era - Jev is the next step Jev is x200 faster, x400 cheaper and has 0 hallucination. This is what comes after RLHF" In 17 minutes he explains why every model you use has a human-shaped flaw baked into it and why Jev is better worth more than a $500 Claude Code engineering course watch today, then read how to actually boost yourself x100 with Jev in the post below

Codez

189,392 次观看 • 6 天前

I am giving away $50,000 for you to compare Jev and GPT 5.6 Sol this weekend! Is Jev overhyped? I will pay for both tokens. Claim link is blow: ⬇️ Some told me Jev is fast but stupid and cannot handle complex tasks. Some told me Jev is genius. In my test, Jev is 40x cheaper and both finished the task. Please think of harder tasks and post and tag me! this is the link:

I am giving away $50,000 for you to compare Jev and GPT 5.6 Sol this weekend! Is Jev overhyped? I will pay for both tokens. Claim link is blow: ⬇️ Some told me Jev is fast but stupid and cannot handle complex tasks. Some told me Jev is genius. In my test, Jev is 40x cheaper and both finished the task. Please think of harder tasks and post and tag me! this is the link:

Xiaoyin Qu

23,019 次观看 • 5 天前

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StepAudio 2.5 TTS is live now! Control emotion, pacing, pauses, and delivery with plain natural language. No tags, no preset combos. Just describe what you want the voice to do. Zero-shot voice cloning with full timbre + emotion control. Available via Pay-as-you-go API or Step Plan.

StepFun

17,153 次观看 • 5 个月前

APIs weren’t built for AI agents. Orthogonal (YC W26) fixes that. Agents and developers get instant access to any API on our marketplace via a single MCP or SDK. Orthogonal handles your API keys and payments, so your agent doesn’t have to. Pay as you go. Congrats on the launch Christian Pickett, Bera Sogut

APIs weren’t built for AI agents. Orthogonal (YC W26) fixes that. Agents and developers get instant access to any API on our marketplace via a single MCP or SDK. Orthogonal handles your API keys and payments, so your agent doesn’t have to. Pay as you go. Congrats on the launch Christian Pickett, Bera Sogut

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38,133 次观看 • 7 个月前

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Thor 雷神 ⚡️

27,101 次观看 • 3 个月前

Today, we’re launching Voice Design. Write a prompt, create a voice. Describe the accent, age, gender, and pace your use case needs, and get new voices in seconds, ready to use. Live and free in the Gradium API and Studio.

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441,969 次观看 • 16 天前

Last week we introduced Invent a Dataset. Describe what you need. Hit go. Today, we’re making it even easier with the Invent API. A few lines of code. AI ready training datasets in minutes.

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adaption

54,314 次观看 • 9 天前

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Claude can now analyze the stock markets 24/7 FOR FREE ! Describe your setup in English. It sits on 3,000+ live market endpoints and hits you the moment it triggers. For every account created in the next week, July 31st - August 7th. You get: > $50 in Claude Fable-5 / Opus-5 credits > UNLIMITED Gemini credits, free, forever > All 3,000+ market data endpoints > 50+ Pro skills and alerts ... much more 👇

Xynth

181,167 次观看 • 1 个月前

Stop stitching transactions. Start building workflows! Introducing the ✨ Supertransaction API ✨ Use one API to integrate the biggest DeFi, Stablecoin, Intent, Bridge or Swap Providers on 16+ chains. Execute gaslessly with one-click, even across chains. Integrate in minutes!

Stop stitching transactions. Start building workflows! Introducing the ✨ Supertransaction API ✨ Use one API to integrate the biggest DeFi, Stablecoin, Intent, Bridge or Swap Providers on 16+ chains. Execute gaslessly with one-click, even across chains. Integrate in minutes!

Biconomy

108,072 次观看 • 1 年前

TyperSafe Founder, Diogo Almeida just gave the best 2-hour breakdown on how to actually master Jev, from 0% to 100%: • 10% → 21:43 - building an eval for your own workflow with JEV • 30% → 55:49 - choice, score, noul - new types of code mapping with JEV • 55% → 1:12:36 - cascade: confident answers ship, uncertain ones go to a bigger model • 80% → 1:37:12 - JEV use cases: dark data, real-time calls, verifying every LLM in your stack • 100% → 2:11:50 - building coding agents with JEV this is worth more than another $500 course on building agents with Claude watch it today - then read the full Jev playbook below

TyperSafe Founder, Diogo Almeida just gave the best 2-hour breakdown on how to actually master Jev, from 0% to 100%: • 10% → 21:43 - building an eval for your own workflow with JEV • 30% → 55:49 - choice, score, noul - new types of code mapping with JEV • 55% → 1:12:36 - cascade: confident answers ship, uncertain ones go to a bigger model • 80% → 1:37:12 - JEV use cases: dark data, real-time calls, verifying every LLM in your stack • 100% → 2:11:50 - building coding agents with JEV this is worth more than another $500 course on building agents with Claude watch it today - then read the full Jev playbook below

Codez

74,324 次观看 • 2 天前

I am using Jev to automate technical analysis to get an edge in crypto and stock markets, this is how: - An autoregressive model trained on 12B data points to forecasts price movements - Jev makes decisions over a feature space that includes time-series data, price forecasts, technical indicators, and news feeds This helps you find the best trading opportunities on Hyperliquid as market conditions change in real time Try it out here: As me below for an API key to access the API and MCP server 👇

I am using Jev to automate technical analysis to get an edge in crypto and stock markets, this is how: - An autoregressive model trained on 12B data points to forecasts price movements - Jev makes decisions over a feature space that includes time-series data, price forecasts, technical indicators, and news feeds This helps you find the best trading opportunities on Hyperliquid as market conditions change in real time Try it out here: As me below for an API key to access the API and MCP server 👇

Brendan Playford

128,812 次观看 • 7 天前