Alpha Batcher

🚨 Cursor just dropped Composer 2, it changes vibe coding Now it plans, builds, and ships across hundreds of steps, on its own What's actually possible now: - Describe a feature in plain English: get working code across multiple files - Hand it a broken codebase: it reads the whole project and proposes fixes - Run a full API integration or migration: Composer plans the steps and executes them autonomously - Refactor legacy code: it holds context across the entire repo - Prototype an idea from scratch: architecture, logic, boilerplate - done - Hit a bug at 2am: it doesn't just find it, it traces the root cause and fixes it end-to-end The benchmark jump is real: +39% over Composer 1.5 The price is even better: $0.50/M input. $2.50/M output That's frontier-level intelligence at a fraction of what GPT-4 or Claude cost It's building its own model and it's coming for the whole stack👇

@ucanseeofficial @menacedotcom @duel_duck might give it a try

For those who haven't seen it yet, a new @menacedotcom campaign has been launched on @duel_duck ▪️There are just over 9 days left ▪️The total prize fund is $5,000 All participants need to do is create quality content and use the right keywords. The rating is updated daily on the mention board.

@LangChain + 1 new tool i’ll check

Introducing LangSmith Fleet. Agents for every team. → Build agents with natural language → Share and control who can edit, run, or clone each agent → Manage authentication with agent identity → Approve actions with human-in-the-loop → Track and audit actions with tracing in LangSmith Observability Try Fleet: smith.langchain.com/agents?skipOnb…

They’re building their own OpenClaw.

@svpino I totally agree, because in fact it is our creation and we are responsible for it

Whoever uses AI to write code should be responsible for that code (and liable for any potential consequences). I don't care what model you used, how you used it, or how much it helped you. You are responsible for the code.

@mreflow no problem for us Matt this tools really helpful

Thanks to everyone who's been sharing feedback on the new Future Tools website! A lot of great suggestions to improve things. I was at GTC this week so progress was slow. I'm working through them and continually optimizing for maximal usefulness! Keep em coming!

@Logical_Girll 5+ hours W information about OpenClaw time to learn

Instead of watching a movie, learn OpenClaw in 317 minutes.

@FieroTy @OpenAI Applause Ty congratulations

Hi twitter friends, I’m joining @OpenAI to work on applied evals! A few years ago my day job was studying microbes Somehow this feels like a natural progression 😄

@DonCryptonn many simply do not understand how to properly implement AI + how to automate it

@alphabatcher Small biz owners keep getting sold complex AI strategies when simple stuff like auto. reply templates and basic invoice flows would save them 80% of that time. Most of these tasks don't need GPT4, just a solid Zapier setup and 2 hours of planning.

5 ways you can use AI to solve key business needs (automation guide) ​ I talked to dozens of small business owners over the past year ​ Most of them were losing 15-20 hours a week to tasks that could run on autopilot ​ Not because of bad strategy. because of repetitive tasks no one ever automated ​ Here are 5 real business problems AI solves right now 👇 ​ 1. Losing leads because you respond too slow ​ the average business responds to a new inquiry in 2-3 hours ​ but studies show that if you don't respond within 5 minutes, your chances of closing drop by 80% ​ the fix: ​ - AI responds to every new inquiry instantly, 24/7 - qualifies the lead with 2-3 questions - books a call or sends an offer automatically - logs everything into your CRM without anyone touching it ​ tools: Manychat, Tidio, n8n + your CRM of choice ​ 2. Team wastes hours answering the same questions ​ the average support agent spends 4-5 hours a day answering questions that never change ​ that's more than half the workday gone on copy-paste replies ​ "what's the price", "how does it work", "what's the timeline", "do you have X" ​ the fix: ​ - AI handles all repetitive questions instantly - complex or sensitive cases get escalated to a human with full context already attached - customer gets an answer in seconds, not hours - team focuses only on conversations that actually need them ​ tools: Intercom, Tidio, custom GPT connected to your docs ​ 3. Data lives in five different places and nobody looks at it ​ most small businesses collect data, but almost nobody actually uses it ​ decisions get made on gut feeling because the numbers are never ready in time ​ because pulling it together takes so long that by the time the report is ready, it's already outdated the fix: ​ - connect all your tools once (CRM, ads, sales, ops) - AI pulls the data automatically on a schedule - you get a clean summary delivered to your Slack or email every Monday morning - no spreadsheets, no manual work, no outdated numbers ​ tools: n8n or Make + Airtable + your data sources ​ 4. Onboarding is inconsistent and nobody notices until it's too late ​ the first 7 days after someone buys or joins your team are the most important ​ but in most companies, no one actually checks whether the person received everything they needed ​ the fix: ​ - new client or employee triggers an automatic sequence - day 1: welcome + what to expect - day 3: useful resource or check-in - day 7: quick feedback question - all of it runs without anyone managing it ​ tools: n8n or Make + ActiveCampaign or MailerLite + Notion or Google Docs (for resource delivery) ​ 5. Content either doesn't happen or happens in chaos ​ businesses that post consistently get 3x more inbound leads than those that don't ​ but most small businesses either don't post at all or post randomly when someone finds 20 minutes between meetings the fix: ​ - you prepare content once a week - AI generates post variations for each platform - you pick one, make small edits, approve - everything goes out on schedule automatically tools: Make or n8n + Claude or ChatGPT + Buffer or Publer ​ CONCLUSION: ​ Most small businesses already have the problems listed above ​ They just don't know they can be solved without hiring more people ​ Pick one problem from this list. Build one solution. Deliver one result ​ That's how you start. That's also how you scale ​ The demand is real. The tools are accessible. The businesses that move first will have a serious edge over everyone still doing it manually

@HarryTandy businesses now need AI agents

@alphabatcher businesses don't need lots of humans now

@mikotabrbrbr it’s good it is to automate your life

@alphabatcher automatisation> hiring if you’re still responding to leads 2 hours later you’ve already lost the deal

@Blum_OG And the fact that it can be implemented in the right direction

@alphabatcher people start figuring out that AI is more efficient finally...

@Pennywise793 @AlexFinn i got you

@alphabatcher @AlexFinn Didn’t they just buy it… changes incoming.

"OpenClaw is nothing special. ChatGPT can do all of this" OK, if you can show me how ChatGPT does the following use cases I've accomplished, I'll write you a check for a million dollars: • Identifying gaps and challenges people are having then building apps proactively to solve them • Fine tuned it's own model so it can write scripts in my voice • Self improves itself by building new memory systems. Now remembers every detail of every conversation (again, without me asking) • Texts me proactively when a competitor posts content that performs better than their average • Continuously analyzing my own X posts, letting me know daily what hooks, wording, structures, and topics perform well • Download and test new local models when they launch without me asking, then give me the benchmarks based on its tests If you can show me how to do any of these use cases with ChatGPT without any additional tooling, the million dollars is yours. P.S. youtube ad revenue from a video it wrote:

@allen_lattimer don't have competition for : Claude OpenAi Gemini

72+ AI tools to finish months of work in minutes. 0. All in one place. glbgpt.com 1. Research - ChatGPT - Claude - DeepSeek R1 - Gemini - Abacus - Perplexity 2. Image - Midjourney - Dall E-3 - Flux - Stability AI - Grok 3. CopyWriting - Rytr - Copy AI - Writesonic - Adcreative AI - otio 4. Writing - Jasper - HIX AI - Jenny AI - Textblaze - Quillbot 5. Website - 10Web - Durable - Framer - Style AI - Landingsite 6. Video - Sora - Luma - Kling - Pika - InVideo - HeyGen - Runway - ImgCreator AI - Morphstudio .xyz

@minchoi Finally launched AI believers now keep an eye on it

This is wild... Google AI Studio just went full-stack. Now you can vibe code production-ready apps, auth, databases, APIs, and real backends from one prompt 👇

@VadimStrizheus GoogleAIStudio literally turned their world upside down after the announcement

Backend developers just got replaced.

@LinusEkenstam figma and other design tools is still goats, i'm sure but stitch it's really something new bro

Google just took a massive stab at Figma Unpopular take, Figma is still goat. But this clearly creates a massive crater, a void that will re-shuffle the map. Where will entry level designers go? $10.000/M designers, gone. Everyone gets better design? we’re accelerating

@LinusEkenstam yesterday : stitch from google today : GoogleAI studio what will be tomorrow?

swe’s right now…

@0xCygaar @stripe session payments from the stripe, one of the favorite feature too

After doing some more digging into MPP from @stripe, here are my three favorite features of MPP that make it extremely powerful: 1) Session payments One of the limitations of x402 is that you have to transact onchain for every single API call. This makes it slow and expensive if you want to make many calls in succession. With MPP, you can create a session, load in funds, and then make multiple API calls that get batched into a single payment. This will help agentic payments really scale. 2) Multiple payment methods natively supported MPP allows clients to pay in stablecoins, Stripe cards, or evening Lightning Bitcoin. I'm personally a huge fan of stablecoin payments, but different API providers will have different needs. Allowing agents to pay in both crypto and fiat (via Stripe) will give MPP the highest chance of adoption amongst service providers. The native integration with existing Stripe infra makes onboarding frictionless. 3) Custom payment methods Not only does MPP support the methods listed above, but you can easily extend it to support different blockchains, card processors, or proprietary systems. Several chains have already started building for MPP support (Abstract soon), but in general this will make MPP as flexible as possible for all vendors. 4) (Bonus) Leverages the existing 402 status code This is not unique to MPP as x402 also does this, but it's really cool that we're building on top of a protocol spec (402 status code) that was written almost 30 years ago when the internet was first starting out.

@sydneyrunkle I am glad that the tool is tailored specifically to the context of long chains and not just basic trace viewing to be honest, without this, agents are like hands-free right now imho

Polly is especially helpful for reasoning about long traces, which are the standard for deep agent work!