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Finally got to unbox my Anthropic Claude Code keyboard! 😅 one shotted by the new Glif agent (it used gemini + veo 3.1 lite + found an unhinged elevenlabs ASMR voice and added fitting music)

fabian

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324,160 次观看 • 4 个月前 •via X (Twitter)

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asked my video agent to generate a "Werner Herzog style short documentary about a spanish village where they have a festivity where they squeeze giant oranges" and it made this > used nano banana to generate the stills > animated them with Hailuo-Lite > generated fitting music with 11labs > found a German accent voice on 11labs > put it all together 😅

asked my video agent to generate a "Werner Herzog style short documentary about a spanish village where they have a festivity where they squeeze giant oranges" and it made this > used nano banana to generate the stills > animated them with Hailuo-Lite > generated fitting music with 11labs > found a German accent voice on 11labs > put it all together 😅

fabian

23,969 次观看 • 11 个月前

We’ve added a new prompt improver to the Anthropic Console. Take an existing prompt and Claude will automatically refine it with prompt engineering techniques like chain-of-thought reasoning.

We’ve added a new prompt improver to the Anthropic Console. Take an existing prompt and Claude will automatically refine it with prompt engineering techniques like chain-of-thought reasoning.

Anthropic

319,007 次观看 • 1 年前

sora 2 is unmatched for AI UGC right now, but VEO 3.1 just unlocked something massive for other AI ads... VEO 3.1 (left) vs SORA 2 (right) i've spent the entire day testing every angle of the new VEO 3.1 model and found some crazy use cases nobody's talking about yet the biggest win is that character consistency is finally SOLVED i put together a complete step-by-step guide including: - when to use VEO 3.1 vs SORA 2 (most people get this wrong) - the specific ad types where VEO 3.1 absolutely destroys sora - how to leverage character consistency to scale your creative output 10x RT + reply 'VEO' and i'll send you the full guide (must follow so i can dm)

sora 2 is unmatched for AI UGC right now, but VEO 3.1 just unlocked something massive for other AI ads... VEO 3.1 (left) vs SORA 2 (right) i've spent the entire day testing every angle of the new VEO 3.1 model and found some crazy use cases nobody's talking about yet the biggest win is that character consistency is finally SOLVED i put together a complete step-by-step guide including: - when to use VEO 3.1 vs SORA 2 (most people get this wrong) - the specific ad types where VEO 3.1 absolutely destroys sora - how to leverage character consistency to scale your creative output 10x RT + reply 'VEO' and i'll send you the full guide (must follow so i can dm)

Miko

55,707 次观看 • 9 个月前

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

BuBBliK

200,319 次观看 • 2 个月前

Now it all makes sense, Claude Sonnet 4.5 can keep its coding focus for nonstop 30 hours. And Dario Amodei just said few days back that, "The vast majority of code that is used to support Claude and to design the next Claude is now written by Claude. It's just the vast majority of it within Anthropic. And other fast moving companies, the same is true." The shift has started in all tech companies. --- From 'Axios' YT Channel.

Now it all makes sense, Claude Sonnet 4.5 can keep its coding focus for nonstop 30 hours. And Dario Amodei just said few days back that, "The vast majority of code that is used to support Claude and to design the next Claude is now written by Claude. It's just the vast majority of it within Anthropic. And other fast moving companies, the same is true." The shift has started in all tech companies. --- From 'Axios' YT Channel.

Rohan Paul

226,901 次观看 • 10 个月前

I built an app that runs Claude Code, Codex, Cursor, Grok, Antigravity, OpenCode, and Pi side by side in my Mac notch. Agent finishes → notch pops. Needs approval → notch pops. One click back to that exact session. no more switching between apps.

I built an app that runs Claude Code, Codex, Cursor, Grok, Antigravity, OpenCode, and Pi side by side in my Mac notch. Agent finishes → notch pops. Needs approval → notch pops. One click back to that exact session. no more switching between apps.

Edward Luo

916,854 次观看 • 24 天前

I used a similar technique recently to reverse engineer the beautiful tabs in OpenAI ‘s Atlas browser. Took a screen recording, had an agent describe the design, the tab metrics, the easing curves etc. Had Codex do one pass and have Claude critique it, and got this highly responsive, pretty well structured macOS component out of it

I used a similar technique recently to reverse engineer the beautiful tabs in OpenAI ‘s Atlas browser. Took a screen recording, had an agent describe the design, the tab metrics, the easing curves etc. Had Codex do one pass and have Claude critique it, and got this highly responsive, pretty well structured macOS component out of it

almonk

92,630 次观看 • 2 个月前

Today we're excited to announce NO_FLICKER mode for Claude Code in the terminal It uses an experimental new renderer that we're excited about. The renderer is early and has tradeoffs, but already we've found that most internal users prefer it over the old renderer. It also supports mouse events (yes, in a terminal). Try it: CLAUDE_CODE_NO_FLICKER=1 claude

Today we're excited to announce NO_FLICKER mode for Claude Code in the terminal It uses an experimental new renderer that we're excited about. The renderer is early and has tradeoffs, but already we've found that most internal users prefer it over the old renderer. It also supports mouse events (yes, in a terminal). Try it: CLAUDE_CODE_NO_FLICKER=1 claude

Boris Cherny

2,931,756 次观看 • 4 个月前

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,923 次观看 • 4 个月前

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Daniel San

38,726 次观看 • 2 个月前

I just created my portfolio with Gemini But…. I can’t change the pictures to what I want. I’m doing some rebranding and I’m starting with my portfolio. I decided to use Gemini to build it, and it actually gave me something really cute like you’ll see in the video below. But I still can’t change the pictures to my own. I’ve tried prompting it. I’ve tried editing the source code myself 😫 But it’s not working. I need to figure this out by fire, by force, by YouTube, or by ChatGPT. Somebody should wish me luck. If you’ve used Gemini to build a website before and successfully changed the images, please come to my rescue.

I just created my portfolio with Gemini But…. I can’t change the pictures to what I want. I’m doing some rebranding and I’m starting with my portfolio. I decided to use Gemini to build it, and it actually gave me something really cute like you’ll see in the video below. But I still can’t change the pictures to my own. I’ve tried prompting it. I’ve tried editing the source code myself 😫 But it’s not working. I need to figure this out by fire, by force, by YouTube, or by ChatGPT. Somebody should wish me luck. If you’ve used Gemini to build a website before and successfully changed the images, please come to my rescue.

Kemi

15,748 次观看 • 8 个月前

I just got access to the new ChatGPT Agent and had to stack it up against Genspark, one of my go-to agentic tools recently. Hope you’re sitting, the results are wild! 😄🧵↓

I just got access to the new ChatGPT Agent and had to stack it up against Genspark, one of my go-to agentic tools recently. Hope you’re sitting, the results are wild! 😄🧵↓

Charly Wargnier

93,378 次观看 • 1 年前

🚨 one person can now do the work of an entire creative team. i just tested it on a real one. a friend needed an ad for his brand, so I opened the new Runway Agent 2.0 to try it out. here's how it went: → it generated the music and the key image first, so I could approve the direction → once I gave the ok, it built the full video around it → and when something was off, i changed just that one piece, without redoing the rest one prompt, and I had the ad we needed, work that used to take weeks. this is what it made 👇 if you want to try it → · 30% off 3 months with code RUNWAYAGENT — made with Runway · #MadeWithRunway · #ad

brenz.

28,698 次观看 • 1 个月前

Base Town: 1-shotted by 1 of our Claude agents 😲 36,731 blocks was placed by code via procedural city generation that understands urban planning. No human dragged and dropped anything. In Doppel agents are first-class builders. Other platforms let you use AI tools inside a manual building flow. Doppel lets AI be the builder. The agent doesn't assist, it architects, generates, deploys, and animates an entire city from scratch. This is only v0. Blocks are just the starting primitive.

Base Town: 1-shotted by 1 of our Claude agents 😲 36,731 blocks was placed by code via procedural city generation that understands urban planning. No human dragged and dropped anything. In Doppel agents are first-class builders. Other platforms let you use AI tools inside a manual building flow. Doppel lets AI be the builder. The agent doesn't assist, it architects, generates, deploys, and animates an entire city from scratch. This is only v0. Blocks are just the starting primitive.

Doppel

27,440 次观看 • 6 个月前

LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.

LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.

elvis

47,766 次观看 • 3 个月前

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Milk Road AI

70,647 次观看 • 5 个月前

found a tool on product hunt that turns claude code into an ad agency.. it’s called Goose Ad Remixer. The setup was surprisingly simple. First, I installed the Gooseworks skill library: npx gooseworks install --all Then I asked Claude Code to generate high-performing ad creatives with: /goose-ads make ads for my brand From there, Goose researched the brand, studied the website, messaging, visual identity, positioning, and existing assets before creating multiple ad concepts. What stood out is that it did not just generate random designs. It studied proven ad patterns, including the hooks, offers, copy, layouts, and creative structures, then remixed them for the brand. It felt less like prompting an image generator and more like giving Claude Code an ad strategist, copywriter, and designer in one workflow. Here are a few of the creatives it generated:

Robin Delta

16,309 次观看 • 27 天前

🚨 Qwen new checkpoint - kieran As usual it claims he is claude and made by anthropic but with tokenizer prompt , its clear - QWEN model Ignore website this is my test to know which model is which behind the scene , should i test it and compare with kimi k3 / opus 5 /sol 5.6

🚨 Qwen new checkpoint - kieran As usual it claims he is claude and made by anthropic but with tokenizer prompt , its clear - QWEN model Ignore website this is my test to know which model is which behind the scene , should i test it and compare with kimi k3 / opus 5 /sol 5.6

Chetaslua

15,544 次观看 • 17 天前

Opal, our no-code visual builder for AI workflows, just got a major upgrade. 🧠💎 We’ve added a new agent step that analyzes your goal, determines the best approach, and automatically calls the right tools — such as Veo for video or web search for research — to complete the task. We’re also adding new tools to make the agent even more capable: 💾 Memory – Remember info, like a user’s name or your style preferences across sessions. 🚀 Dynamic Routing – Let the agent choose the next best step using the “@ Go to” tool. 💬 Interactive Chat – Initiate user interactions to gather missing information or present options before moving on. Try it now →

Opal, our no-code visual builder for AI workflows, just got a major upgrade. 🧠💎 We’ve added a new agent step that analyzes your goal, determines the best approach, and automatically calls the right tools — such as Veo for video or web search for research — to complete the task. We’re also adding new tools to make the agent even more capable: 💾 Memory – Remember info, like a user’s name or your style preferences across sessions. 🚀 Dynamic Routing – Let the agent choose the next best step using the “@ Go to” tool. 💬 Interactive Chat – Initiate user interactions to gather missing information or present options before moving on. Try it now →

Google Labs

1,007,678 次观看 • 5 个月前

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

Alvaro Cintas

73,898 次观看 • 7 天前