What can you build with Jev
Muse is off to a good start
Overview
Hi folks,
Do you remember the site I one-shot with all the ‘forgotten devices’ of the past? Things like the tamogotchi, furby, walkman, og playstation, etc. Well I finally did something with it.
I always see people building cool interactions or experiences and just send them to my agent to link up with an idea or something I want to explore. Remixing and reverse engineering is a great way to play with things for the sake of it.
I also built my token activity tracker which shows which agent apps and models I use daily. It’s got a copyable prompt on the site, so your agent can do the same.
Everyone’s talking about Jev - I’m too overwhelmed with what everyone else is building with it that I’ve not used it for anything properly yet.
Headlines
Jev is now open to everyone. We covered the launch in the last post, but since then people are finding all sorts of uses for it. It’s different from usual LLMs. It is for builders, built to be used inside a tool.
You give it some text and ask questions: is this an ad (yes/no answers), which folder does this belong in (select between choices), how relevant is this result (score something)?
I quickly built a collection of things people are building with it and a short explainer: What is Jev? Some worth highlighting are:
An extension to skip sponsor segments on YouTube.
Filtering negative comments out of a chat in real time.
Search Gmail by intent, or filter your to-dos.
A new & smarter copy-paste, drag-and-drop and Cmd+F experience.
Controlling your Mac with Voice.
Naturally, a fair share of demos are trying to integrate Jev with modern coding agents. For example, using it for instant compaction. It looks cool, but it’s a terrible idea. It loses the cost savings from prompt caching.
Sidenote: experiments with compaction/dropping tool calls are often a loss these days. Codex’s implementation of compaction is so clean (and good) that the pain to build a custom setup is not worth the tiny gain you can squeeze out for a couple weeks.
— Keshav
Coding agents are also on the mind of TypeSafe’s CEO - he wrote down his thoughts here.
Details
Projects in Claude Code are now a single master chat (instead of a folder) where you can dump your requirements, thoughts, tasks and let Claude spawn new threads to carry out the work you give it. These threads run as cloud sessions, but local support is coming. This new change is in beta and will be live for all users soon.
Also, finally, Claude Code will now support AGENTS.md (via their new feature Claude Mods).
Muse, Meta’s personal AI agent, is getting love from everyone (who has access). It has a Mac app and a developer platform to build connectors, so people can use external services through Muse. And of course, it’s heavily inspired by OpenClaw.
Muse can shop for you - well, it could, until Amazon started blocking it. Meta is working on it, with partnerships like this one with Shopify.
Grok 4.7 is out. It’s a questionable upgrade from Grok 4.6 - It performs better than GPT-5.6-Sol and Opus 5 on benchmarks, but takes a lot more tokens to do that, which takes away from its cost efficiency. I tried it and think it’s 💩. I was excited for it, as Grok 4.6 was pretty good for me in Pi, although I rarely chose it.
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My feed
OpenAI formed an independent group of mathematicians to help them share the proofs and discoveries their agents are making.
Test your agent in simulations with Raindrop. (They raised a Series A recently)
Turning your best X posts into an automated blog and newsletter.
How to ship 2,500 PRs to production in a month.
A free, open-source Photoshop-like image editor.
A look inside Instinct’s memory, reverse-engineered.
A transcription model from SpaceX AI - Grok Voice Transcribe 2.0.
How to build a restrained software factory.
Powermove - a video editor you can change by talking to a coding agent.
MCP vs CLI for LLMs - are we debating the wrong thing?
Factory is now available in Slack Code.
On July 25, we hacked OpenAI.
Agent skill to make a demo video of your app, with zooms and voiceover. I used this for my devices tweet in the intro.
Exa Snapshot - Let agents search the past versions of the web.
Epoch audited 15 AI benchmarks and found flaws in nine.
Natural General Intelligence - a call to work on AI models for the planet to avoid natural disasters and more.
Accenture’s evaluators will work inside Anthropic to check AI safety, with access similar to its employees.
Speeding a 4B model to 730 tokens/sec on an M5 Max. Underdog is really interesting; I just got onboarded, and it’s like a mini operating system: email/calendar/apps, etc all with local models, no data sent anywhere. Plus Sigil, the founder, is going to walk me through it in person next week when I go to SF.
Afters
Read about me and Ben’s Bites
📷 thumbnail via @keshavatearth
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Source
Originally published at www.bensbites.com.
