StrAItegy Hub

🚀 New here? Welcome! ⚡AI isn’t hype. It’s leverage. Hey, I’m Zain 👋 I started @StrAItegyHub to help professionals stop watching the AI wave and start riding it. AI isn’t just new tech — it’s a ⚡force multiplier for how we think, work, and lead. Want to raise your AIQ? Not just stay informed, but learn to apply AI to work smarter, lead sharper, and build faster? @StrAItegyHub is for you. 💡 Everything here is made to be clear, practical, actionable content built for busy professionals. No jargon. No overwhelm. Just real utility and high-signal insights you can apply immediately. 🔥 Expect frameworks, real strategies, practical use cases, ready-to-run prompts, and high-signal news that cuts through the noise. 🌱 I’m still learning every day. This space is for sharing ideas and growing together. Follow @StrAItegyHub and let’s raise our AIQ together. 📈

@karpathy @karpathy:

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

The Decision 2026 version 😂

@mvanhorn @ppressdev Yes! I have been telling everyone I can about @ppressdev it’s amazing!! You made creating a CLI as easy as creating a skill, really appreciate your work! My gh is quoxientzero would love to test anything you’re making

Use cli’s and a Macmini for OpenClaw or Hermes with chrome for Mac on your main computer? @ me your GitHub handle might have something secret for you to test. Bonus points if you use @ppressdev clis

last30days v3.3: @digg is now a first class source, just install the digg CLI and you get it for free, no API key needed. Huge thanks to @trevin for clearing 100+ PRs to get us here. Run /last30days Sam Altman and Digg pulled 36 clusters / 405 posts. This is what cross source signal looks like. Thanks @kevinrose for making a great source with the new @digg. github.com/mvanhorn/last3…

@Jacobsklug OS

I built a Claude Cowork OS that replaces OpenClaw and runs on autopilot. Manages my business & personal life tasks. I created the whole playbook so you can re-build it tonight. What's inside: • The exact foundation prompt • 3 level orchestration map • Memory template for global context • Routing table for file management • Starter workstations (finance, content, community, habits) • Project file structure • Single prompt that builds the entire folder tree Follow + Comment 'OS' and follow. I'll DM it to you.

Wow. This is huge.

@EXM7777 Wow this huge

i don’t think you really understand what this means for AI agents… one of the most important releases of the year

@businessbarista AI native!!

I want to start an AI community for executives. This will be a space for people to share killer use cases, agentic workflows/agents, post-AI org structure, AI governance, AI training/enablement, change management, and more. Comment “AI-native” if you want to join.

@yijiefeng It’s more than a trend, they are popping up left and right because content creators are selling the new get rich quick dream and pushing people to do this. Curious what you suggest the actual approach should be?

I'm noticing a trend there's a growing number of "AI consulting" firms charging $20K+ to "deploy Claude" to legacy businesses (mid-sized law, accounting, PE firms) as "Anthropic enterprise partners" what this means: - they install claude code, cowork - run a few commands to connect to tools - give generic or misleading advice on a tech stack meanwhile, there's more interest than ever for firms with 0 technical staff to build SaaS in-house and there's an entire industry of advice givers seeking to profit off of this trend last week I was on a call with a PE firm (working with one of these agencies) and someone who had never written code was asking whether to run a RAG vector DB on a Mac mini to chunk internal docs can't make this up

@xynth_m Done please send

@StrAItegyHub @StrAItegyHub need a follow + repost first, then I'll send the link over.

Xynth can now scan the stock market for you 24/7 ! Simply describe what you want monitored in plain English. Under the hood, we wire Claude Opus 4.7 + Python to 3,000+ live market endpoints to build your custom alert. The workflow lives in the cloud, hunting your setup the moment it hits. As part of this launch, we're giving free access to the top 5 most profitable alerts built so far. RT + comment "Xynth" below to get access ↓

@businessbarista Great stuff @businessbarista. Please share more of this. This is what we need to move the needle.

Just co-led an AI training for 20 execs from one of the largest financial institutions in the world. We covered a lot of ground from how LLMs work to what an agent is and how to transform your work, but here were the biggest aha moments for the group. 1. Historically, leaders had to think about allocating budget for headcount and software. Now, token budget must be a serious consideration. Do you set limits per employee? How do you measure the ROI on your token budget? How much budget do you allocate to which employees? How do employees know which models to use to most efficiently spend tokens? 2. The models are good enough now, where most bad output is user error not technology error. And a major contributor to user error is bad context management. To have clean context hygiene you need to understand what the context window is, why separation of concerns is important, and how tactically to treat context like a precious resource. 3. A skill is a scary word. It’s nothing more than an SOP. If you asked an intern to write a one page document breaking down their step-by-step process for building a great deck, you’ve created a skill. A skill is a long prompt that codifies a repeatable process, can be edited as you see fit, and helps to generate more predictable output that meets your standards. 4. Saying you use AI gets you style points. But the real unlock is in process mapping. During the workshop, we asked every exec to write out one of their/their teams key processes step by step and place an E (eliminate), A (automate), or D (delegate) next to each step. The exercise not only revealed opportunities for AI, but also existing inefficiencies that have gone undetected. 5. Claude Cowork opened their eyes. Many people still see AI as a chat-based supercharged Google. They may have heard the phrase “agent,” but they assume it’s sophisticated tech reserved for engineers. Cowork is the layperson’s gateway drug to agents, showing the possibility of building web apps, ai workflows, and live artifacts in a single place. 6. Every company talks about the “bad guys”slowing down AI transformation: legal, compliance, and IT/security. One of the most powerful choices leadership can make is flipping the script and making them the heroes of the transformation story. Help them understand the risks of doing nothing, work with them to make calculated bets, and celebrate them publicly when they partner to drive transformation with speed. 7. Getting an AI system to perform requires four things to go right: picking the right model, teaching it the right process, providing the right context, and establishing the right guardrails. Most people assume the right model is 99% of it, they don’t think enough about giving the right context, and they don’t realize the right guardrails make things like hallucinations and mistakes less dangerous.

@zarazhangrui Disagree, sounds efficient, but this method removes all friction. Efficiency is good, but there’s going to be a law of diminishing returns when you remove all friction.

The most efficient way for humans to collaborate: do not collaborate One person should own something end-to-end and work with agents

I think "prompting" will keep being an incredibly high-leverage skill, like writing or public speaking. It is the skill of talking to agents, mediated by the harness. My main goal is to grow the bandwidth between humans and agents, to help us understand each other better.

@trq212 Would love to!

I want to do some streams where I work with non-technical people using Claude Code to figure out how they might be able to improve their process. My feeling is that just a few tips could make a big difference in efficiency. Any mutuals interested?

@lukepierceops NICHE

I mapped every AI automation opportunity across 25 industries. 10-15 pain points each. With the exact positioning, pricing range, and who to sell to. This took me 4 years and 80+ client engagements to figure out. A lot of AI agencies pick a niche and pray. They don't know the actual pain points. They don't know who the buyer is. They don't know what these companies are already paying for broken solutions. They don't know what the realistic project size is. So they end up competing on price for generic "AI automation" gigs. I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more. Every single one has 10-15 processes that are bleeding money because they're still done manually. Here's what the guide covers for each industry: → The top 10-15 automation pain points (ranked by ROI) → Who the actual buyer is (CEO, COO, ops manager, etc.) → What they're currently paying for manual labor or broken SaaS → Realistic project pricing ($5K-$60K+ depending on scope) → The discovery questions that unlock the deal → How to position yourself as the expert even if you've never worked in that industry → Red flags to avoid (industries and company sizes that aren't worth it) 25 industries and 300+ specific automation opportunities. This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call. Like + RT + reply "NICHE" and I'll send you the full guide (Must be following so I can DM)

@DavidOndrej1 I’m running it on my Apple Pencil, it literally writes by itself. 🤯🤯🤯

if you're not running Gemma 4 E4B on locally on your airpods you're falling behind

@BigDemoPrez I’m a dummy. Thanks, this sounds cool, working on something similar for different industry curious to compare.

@MitcheIl launch

this hit 4m views and #1 on trending everyone will think it's bc the video was good it wasn't just the video it took: - an incredible product - 30 creators - 3 reshoots - our teams working 24/7 that's the part nobody sees reply "launch" and i'll send u every trick we used