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👇

@iamfakhrealam @AmpereSh I am glad that IP addresses will be better protected now Much love to Ampere

This eliminates the biggest concern for agent builders. @AmpereSh offers unlimited Claude use with fully managed OpenClaw, enabling real browser automation with IPs, strong memory, smart routing, and no maintenance…..

@emollick What's so interesting in frontier bro? can you explain

This turned out to be Xiaomi's MiMo-V2-Pro, and it is fine but not at the frontier. Most interestingly, it is not open weights? This seems to be a trend in frontier Chinese models.

@iamlequanghuong too wild, no doubt

@alphabatcher composer 2 crushing gpt4o at 70%? and cheaper too wild

🚨 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👇

@theganfam but composer 2 is really something new

@alphabatcher no way this just jumped the curve like that composer 2 is straight up dangerous

@Blum_OG I don't think we have long to wait

@alphabatcher once it can hold the repo and keep moving, people feel it

@gonlenidefi excited too

@alphabatcher big update, made me excited tbh

@0xTreff the price should justify itself

@alphabatcher the price is the real signal here it works well enough, cost decides a lot

@BetmanJoe i know you love it bro

@alphabatcher alpha as always

@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