Introducing Spend Management on Superblocks. AI building is spreading... beyond engineers to every team, and spend scales faster than budgets. Most orgs can't see where it's going until the invoice lands. Now admins can: → Set org-wide and per-user AI credit limits → Get alerts before teams hit the wall → Add credits in two clicks when builders need room → Track spend by user, time, and app It works because every builder, every credit, and every app runs on a single IT-governed platform. One control plane, not a dozen scattered tools. This is pillar one. Model choice and intelligent routing come next, so you pay frontier prices only for the tasks that need them. Scale AI. Control the spend. Link in comments.show more

Superblocks
14,665 次观看 • 3 个月前
If you spend $2,000 a month and pay for... ChatGPT and Claude, this card hands you around $1,000 back a year - and almost nobody has done the math > 3% base cashback on Core, 5% on your AI subscriptions > Bump to Platinum and AI cashback jumps to 10%, with Claude Pro and ChatGPT Plus bundled in - roughly $500 of subscriptions covered before you count a single cashback dollar Access Code: W6TRRM That is money coming back on spending you were doing anyway. Groceries, subscriptions, the AI tools you already pay for One honest catch I cover in the article - the cashback pays in $XPL, a volatile token and the rate is capped and laddered, not flat. So run your own numbers, do not take a headline rate as gospel But the structure is real. Every other card treats your AI bill as ordinary spend. This one turns it into your highest earning category Full math, every tier, every tradeoff, in the articleshow more

Valentin
13,134 次观看 • 1 个月前
I’m incredibly proud to share that OpenAI chose Brex... to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.show more

Pedro Franceschi
62,597 次观看 • 6 个月前
Stripe Cards are now officially live on ClawVault If... you're building agents that need to pay for things — APIs, SaaS, cloud, subscriptions, contractors — your agent can now get its own Visa card. Not a restricted virtual card on limited rails. A real Visa, powered by Stripe, accepted at every merchant on the internet. Spending limits. Merchant locks. Expiry controls. And that's just the defaults — the full rules engine goes deeper. Your agent spends freely within the rules — break one, and the charge gets flagged for your approval before it goes through. No other platform gives your agent a card and keeps you in control at the same time. Every AI agent will need a card. Every card will need a control layer. We built both. Now on Stripe. Your agent gets the card. You keep the control.🦞show more

ClawVault
32,631 次观看 • 7 个月前
THIS SHELF OF MAC MINIS REPLACES $4,080 A YEAR... IN AI SUBSCRIPTIONS 00:02 the camera pans across a shelf of stacked Mac minis and the trick is obvious: that silent little farm runs the models you rent every month most people pay 7 companies for AI and use 3 of the tools. they forget the rest on the credit card and call it a stack the Mac mini M4 ends that. one shared memory pool means a $599 box runs 7B and 8B models faster than Windows machines that cost twice as much ollama pull, one command. open webui in one docker line. point Claude Code at localhost and it just works it draws 10 to 30 watts, sits silent next to a router, and runs 24/7 for $3 a month in power it pays back a $20 ChatGPT Plus sub in 3 months, then saves you $4,000 a year while the frontier still rents you compute every month you wait is another $340 gone for compute that fits on a shelfshow more

Fokki
12,933 次观看 • 3 个月前
Plasma One has the rare referral deal where both... people get paid, not just the one sharing the link Someone joins with your access code, spends $100 on their card and you both get $10 Access Code: W6TRRM Not you get $10 and they get a discount Actual $10 each, in dollars, straight to the balance And it is not a one time thing on your end - every new person you bring who hits that $100 earns you another $10 The spend is real card spend, the stuff they were buying anyway, so most people clear it without changing a thing iOS or Android, both sides win Drop your username or grab a code and start stacking themshow more

Valentin
16,916 次观看 • 2 个月前
Today we're shipping the governance layer enterprise AI was... missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.show more

Wade Foster
32,542 次观看 • 5 个月前
Employees are vibe-coding company data into external databases IT... can't see. Today we shipped the Superblocks App Database on AWS RDS. Make RDS your default app database and keep every vibe-coded app's data inside your own AWS account. IT governs it for every app; dev and prod stay isolated, and rollbacks restore code, schema, and data together. Your apps. Your data. Your VPC.show more

Superblocks
19,262 次观看 • 4 个月前
I just vibe coded a Meta Ads creative analytics... tool in Claude Code 🤯 It plugs into your ad accounts, AI-analyzes every creative you've ever run, and tells you exactly what's working, what isn't, and WHY. Built 100% in Claude Code. Perfect for DTC brands and creative agencies who are sick of staring at Ads Manager trying to reverse-engineer why one ad scaled and another tanked. If you're pulling weekly reports that show you spend, ROAS, CTR, and hook rate but never tell you WHY any of it is happening — and you're stuck watching videos one by one, guessing at angles, and making kill/scale calls on gut feel... This tool runs the entire loop for you: → Connect your Meta ad accounts in one click → AI watches every video and analyzes every static → Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage → Win rate analysis broken down by every category → Kill/scale recommendations segmented by TOF, MOF, and BOF → AI-generated iteration recommendations for every underperformer No manual video watching. No guessing at what's working. No spreadsheets to track creative performance. What you get: - A full creative analytics dashboard pulling live from your accounts - AI classification on every ad you've ever run - Iteration priorities ranked by ads with real spend behind them - Weekly reports surfacing top and bottom performers with AI insights Built 100% in Claude Code as a real tool, not a one-off script. I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)show more

Mike Futia
55,157 次观看 • 5 个月前
Do you realize what just happend? 🤯 This app... is printing $200k/mo With only 10 AI influencers that are generating 100M+ views/mo not one single real human used to promote it. it's absolutely nuts, they are spending maybe $39 on a higgsfield subscription and using the MCP to produce 100s of before and after videos/mo then just comment farming to get users To download the app on tiktok and IG. you could do the same and spend $0 because Higgsfield is literally giving a full month of seedance away for free right now if you are still in denial about using AI for marketing you are quite literally missing the gold rush.show more

Ernesto Lopez
39,580 次观看 • 3 个月前
You've probably scrolled past a dozen posts about Jev... this week without anyone telling you what it actually is. It's the first model from TypeSafe, a lab started by one of the researchers behind ChatGPT. It's a decision engine: you give it options, it picks one and tells you how sure it is. It cannot write a single word, and that is the interesting part. Every other AI you use writes. That is the whole interface. So when software needs a plain yes or no, we make a model write a paragraph and then dig the answer back out of it. Fine in a chat window where a human reads it. Bad inside software, where code has to act on it. The bet is that the valuable half was never the writing. It was the deciding. That problem showed up in WordPress years ago, and it is the reason WPVibe works the way it does. The AI does the work. Anything permanent stops and waits, because a delete that skips the trash is not something software should decide on its own.show more

John Turner
21,029 次观看 • 18 天前
1 mini PC that fits in a palm, with... no monthly token bill attached to it. Most people run their AI through a browser tab. Every prompt, every document, every half-finished idea leaves the machine and lands on someone else's server. This ORICO mini PC runs the model locally. The assistant lives inside the box, not in a data center 2,000 miles away. Small enough to slide into a bag. Powerful enough that you stop noticing it is not a desktop. You pay once for hardware instead of every month for limits. No outage that takes your assistant down with it. No terms of service deciding what your files are worth. Plug it in anywhere, and the assistant is already there, offline, waiting. The smallest machine on the desk is the only one that keeps its mouth shut.show more

AiMind
82,756 次观看 • 1 个月前
Elon Musk gave the entire entertainment industry its expiration... date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.show more

Dustin
22,458 次观看 • 2 个月前
an agent is four parts in a loop. you... own one. the other three break it. that's why the demo works and prod doesn't. you can't debug what you can't see. 1) the prompt → what you tell the model each turn. you own this one. good. 2) the context window → what it sees right now. the framework fills it with junk, and you never notice until it rots. 3) the tools → what it can do. you own the list, not when or why it fires them. 4) the control flow → what happens next, when to stop. the framework owns this. it's what breaks at 80%. own all four and your agent stops being a magic trick that works on stage and dies on call. this isn't my idea. it's the 12-factor agents guide (24k stars) github: the whole thing every serious builder ends up rewriting their stack around. full breakdown in the article below.show more

Hanako
38,184 次观看 • 2 个月前
🚨 Do you understand what Claude just quietly dropped... while everyone was distracted? 1 million tokens. Let me explain what that actually means because the number alone doesn't hit right. > A senior engineer joins a company and spends 3 to 6 months just reading code.. Understanding how things connect. Learning where the bugs hide. Why that one file nobody touches exists. It takes months because a codebase is massive and human memory is small. > Claude just loaded the entire thing in one prompt. 30 seconds. Every file, Every function, Every line. All of it. Sitting in memory like it's been working there for years. And it scored highest among every single frontier model. Not GPT.. Not Gemini, Nobody. > Yesterday Amazon's AI nuked production because it couldn't see the full picture - it made a decision with partial context and deleted everything. Today an AI can hold 1 million tokens of context at once. That's the fix. That's the "before and after" moment for AI coding. > 600 images in one request. Entire PDFs. Full repos. And they dropped it on a Friday on all plans like it was a patch note. The scariest AI updates aren't the ones with press conferences. They're the ones that drop in a tweet at 6pm and change everything by Monday morning.show more

Tuki
206,309 次观看 • 6 个月前
Every way to earn on Creator Wire just got... a home. Introducing Opportunities: one page showing every active deal and way to make money on the platform > Invites for paid deals > Collabs for brand badges > Boosts for reward pools > Referrals for your own link > Challenges for judged contests. > Viral launch campaigns Every reward pool sits in escrow before it opens, and every payout lands as real money. The page shows your own numbers, matched to what you can earn right now, so you know exactly where you stand before you post a single thing. Explore it ↓show more

Creator Wire
29,037 次观看 • 18 天前
You don't understand... Higgsfield MCP + Claude just automated... AI film making. Every single step you used to grind through to make an AI movie, you can now do 10x faster. Drop the script into Claude Opus 4.8 and say: "Here's my script. Break it into a full shotlist. Shot number, scene, shot type, camera move and the action in each frame." Now the whole film is mapped, shot by shot. - Pull your assets. Ask Claude: "From this shotlist, list every character, every location and every prop across the whole film." That's your build list. The stuff you would need to generate and give as references in next steps. - Build the character sheets. Higgsfield MCP is connected, so Claude has hands now to do stuff directly. It generates the images itself. Have the full body, back view and close up in the character sheet. One per character. Each sheet becomes the locked reference for that face. Same move for locations, generate the empty plate for each one before anyone steps into it. - Generate the frames. Feed Claude the references plus the shot and have it write and fire the Seedance 2.0 prompt. "Using the lead's character sheet and the alley plate, generate shot 4 in Seedance 2.0. Low angle, slow push-in, rain." Claude builds the prompt, calls Seedance 2.0 and the frame lands back in chat. Use a Seedance 2.0 skill to teach Claude how to prompt it properly. Now, there are 3 ways to make the shots. Pick one per scene. - Pure prompting. Fastest one. You describe the action in words and let Seedance interpret it. For consistency across a sequence, feed it a frame from the previous shot so the look carries. - Storyboarding. You hand it a panel and it matches that composition exactly. Way more control over how the shot is framed. The tradeoff is that it can introduce more cuts than you actually want. - Path Control System This is the latest technique Seedance 2.0 technique. Generate a still base plate of the scene. Draw a red line across it to mark the exact path of the movement, then describe what's happening. Seedance follows that line for the action. Also ask Claude to remove the red line when animating. This is the one for anything where motion has to land precisely. The output reads like real live action. - Lastly, generate every clip you need, then cut them together. Get it to Capcut for editing and audio design. And that's it. The pipeline that used to need a full crew and a studio can now run from one Claude chat. 2026 is gonna be wildshow more

Rez Karim
10,951 次观看 • 4 个月前
I just vibe coded a Meta Ads creative analytics... tool in Claude Code 🤯 It syncs your ad accounts, AI-analyzes every creative, and tells you exactly what's working, what's not, and WHY. Built 100% in Claude Code. Perfect for DTC brands and agencies who are tired of staring at Meta Ads Manager trying to figure out WHY an ad is working or not. Here's the problem: Meta gives you the data. Spend, ROAS, CTR, hook rate. But it never tells you WHY an ad is performing or what to do about it. You're left manually watching videos, guessing at angles, and making gut-call decisions on what to iterate. This tool solves it: → Connect your Meta ad accounts → AI watches every video and analyzes every static → Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage → Win rate analysis broken down by every category → Kill/scale recommendations segmented by TOF, MOF, and BOF → AI-generated iteration recommendations for every underperforming ad No manual video watching. No guessing at what's working. No spreadsheets to track creative performance. What you get: - Full creative analytics dashboard - AI classification on every ad - Iteration priorities for ads with real spend behind them - Weekly reports with top/bottom performers and AI insights I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)show more

Mike Futia
83,074 次观看 • 7 个月前
I hooked Opus 5.5 up to Meta Ads MCP... and honestly this is kind of wild. The setup launches ads automatically. But then I asked it to plan what happens AFTER they go live. It wrote the plan and scheduled itself for every Monday at 9 AM, right inside the project. Every single Monday it will → read last week's ad results → pick the winner in plain English → kill the ad that clearly lost → write two brand new ads without repeating a hook → send me the scripts and the credit cost And it won't spend a single credit or pause anything until I say yes. That's the exact job agencies charge a monthly retainer for. A media buyer, a strategist and a copywriter, now running as one scheduled job. Full workflow in the article below.show more

Prajwal Tomar
12,177 次观看 • 8 天前
Elon Musk just said something that should terrify every... AI CEO on earth. Musk: “We want to just have a maximally truthful AI.” Not a safe AI. Not an aligned AI. Not an AI that needs permission to answer your question. A truthful one. That distinction matters more than any chip war, any funding round, any model benchmark. Because every other major AI lab made the same quiet decision. They chose comfort over accuracy. They built systems that filter reality before it reaches you and called it responsibility. OpenAI curates what GPT is allowed to say. Google’s Gemini rewrote history in real time because accuracy threatened the narrative. Others hardcode values chosen by a handful of researchers who answer to no one. No vote. No referendum. No consent from the 8 billion people whose reality is being quietly pre-edited by strangers. The most powerful information tools ever created are being designed to decide what you’re allowed to conclude. That’s not safety. That’s editorial control at a scale no government, no media empire, no propaganda machine has ever come close to. This is why xAI terrifies the establishment. Truth is the harder engineering problem. Bias is a shortcut. You pick a worldview. Hardcode the guardrails. Ship it. Truthful AI is ungovernable. It doesn’t care about your politics, your funding sources, or your PR strategy. It just tells you what the data says. That’s terrifying if your power depends on the gap between what is real and what people are told. Every power structure in human history has been built on controlling that gap. Churches. Governments. Media conglomerates. Intelligence agencies. Central banks. Every one of them runs on the same fuel. Information asymmetry. Truthful AI doesn’t narrow that asymmetry. It erases it. Musk: “Even if what it says is not politically correct. You want it to focus on being as accurate and truthful as possible.” That’s not a product feature. That’s the end of every institution that survives by standing between reality and the public. And they know it. The attacks on xAI will never stop. Not because Grok is dangerous. Because Grok doesn’t answer to shareholders, regulators, or PR teams. It answers to the truth. The question was never whether AI would change the world. It was whether you’d be allowed to see it clearly when it did.show more

Dustin
429,745 次观看 • 4 个月前
bStocks are now live in Debit AI 🟡 Tokenized... US equities on BNB Chain, backed 1:1 by shares in regulated custody. NVIDIA (NVDAB), Tesla (TSLAB), Circle (CRCLB), Netflix (NFLXB), SpaceX (SPCXB), plus Apple, Amazon, Alphabet, Coinbase and more. RESEARCH bSTOCKS Ask for performance on any bStock, compare names across the index, or set a routine that watches a position autonomously. The agent works on the same 24/7 clock the tokens trade on. BUY bSTOCKS Swap in and out of bStocks, alongside crypto assets, on BNB chain. USE bSTOCKS AS COLLATERAL Hold bStocks and borrow stablecoins against them instead of selling. Loans via Teller are time based, with no margin calls. Price moves do not trigger liquidation during the term. Debit AI can: → Research and monitor any bStock, around the clock → Spot swaps in and out on BNB Chain → Borrow stablecoins against bStock holdings → Loop equity exposure → Auto rollover before term expiry Debit is non custodial. Assets stay under the holder's control at all times.Each agent runs within limits set: assets, venues, position size, chains, daily spend cap. Use Debit AI via the chat interface on the Debit dashboard, or connect Debit's MCP server to the AI assistant already in use, including Claude, ChatGPT, Perplexity and Gemini. $DEBIT is the utility token of Debit AI. It works as AI usage credits. Spend DEBIT to run the agent: strategy execution, portfolio analysis, monitoring, cross chain routing, and more. Agents consume credits continuously while running. Debit AI: Debit AI App: Debit is not a bank or lender and is not FDIC insured. bStocks are third-party tokenized securities, not issued or guaranteed by Debit, and are not available to US persons. Digital assets are volatile and can lose their full value. Autonomous agents can execute at unfavorable prices or fail to execute. Nothing here is financial, investment, legal or tax advice. Debit is not affiliated with or endorsed by Anthropic, OpenAI, Perplexity or Google. Eligibility and jurisdictional restrictions apply. See Terms of Service.show more

Teller
59,722 次观看 • 28 天前