Harris

If you lost your job tomorrow & had to replace your salary asap, here's exactly what you should do: Step 1: Go to Instagram and start a fresh account. Use a spare email. Nobody has to know.

@shahjahan_ch Thanks for the insightful feedback

the LLM visibility loop is the sharp one here. one thing i'd add: the scoreboard is the easy part. the lever is upstream. a model can't cite you if you've never published anything it can actually read and quote. "does AI recommend us" is the metric. being publishable is how you move it.

Everyone is talking about AI agents. The real opportunity isn't building one. It's building an AI loop that keeps improving your business while you sleep. Think of it like this: Give an AI agent: • A goal • A way to measure success • Permission to keep trying until it reaches that goal The loop becomes: Build → Verify → Improve → Repeat Here are a few examples: 📈 SEO Loop Trying to rank for a keyword? The AI updates your content, checks your rankings, learns what changed, and repeats the process until you reach page one. 💰 Ads Loop Spending money on ads that aren't profitable? The AI tests new creatives, pauses underperformers, reallocates budget, and keeps optimizing until the campaign becomes profitable. 🤖 AI Evaluation Loop Your AI feature is only 88% accurate? The agent experiments with prompts, models, and configurations until it consistently exceeds your target, for example 90%+ accuracy. 🔍 LLM Visibility Loop People are increasingly searching in ChatGPT, Claude, Gemini, and Perplexity. Instead of asking, "Do we rank on Google?" The new question is: "Does AI recommend us?" The agent monitors your visibility, improves your content, and checks again on a recurring schedule. The secret behind every successful AI loop is surprisingly simple. It needs a clear scoreboard. • Did rankings improve? • Did profit increase? • Did accuracy exceed the target? • Did AI recommend the brand? If the answer is measurable, an AI can keep working toward it. Unlike traditional automation, these loops don't stop after one task. They can run for weeks, months, or even years, continuously making small improvements without constant human intervention. That's when AI stops being a chatbot and starts acting like a teammate. The video below explains the concept with real examples. Well worth the watch if you're thinking beyond simple AI prompts.

@arsh_goyal Hyperagent is really important in the age when every model is "SOTA" on some chart.

love this. i feel benchmarks have become marketing slides at this point, so letting people judge the real work themselves is new and this is doing that. will be interesting to see if the crowd verdict matches the official leaderboards and also curious how they'll handle voting bias at scale though. #HyperagentPartner

@_itsjustshubh Good to learn about that

@HarrisDecodes the "while you sleep" loops are the ones that actually need the most babysitting early on, ironic but true from experience

"$10,000/month on YouTube, Insta or TikTok... with AI prompts." You've probably seen posts like that. The truth is more interesting. AI won't build a successful YouTube business for you. But it can replace 80% of the repetitive work behind every video. Here's the exact workflow I'd use if I had to start a YouTube channel from $0 today. ↓

99% of resumes never make it to a recruiter. They're filtered out by ATS systems first. That's where NextRaise AI comes in. It helps you optimize your job search by: ✅ Building ATS-friendly resumes with a live 20-point resume audit ✅ Tailoring your resume to any job description in seconds, improving match scores from 40% to 85% ✅ Auto-applying across 50+ job boards, including LinkedIn, Naukri, and Workday ✅ Tracking every application in a Kanban board, so you never lose track ✅ Generating AI-powered referrals and cover letters that actually help you get noticed The result? More interviews, less manual work. 👉 nextraise.ai Have a walk through everything in the video below 👇

@AITechEchoes good to hear about teamly

One sentence. One complete AI team. 🤖 Teamily AI turns a simple goal into a professional team of specialised agents that collaborate in parallel inside one chat, with shared context, living memory, and the right model for every task. From research and documents to slides, websites, automations, and more, it’s the team brain where humans and AI agents work together toward 10X productivity. Available on Web, iOS, Android, macOS, and Windows. Explore it at teamily.ai @Teamily_AI

@expertwith_AI drive

All Paid Courses (Free for First 4500 People) 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Prompt Engineering 4. Claude,Chatgpt,Grok 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. Ethical Hacking (72 Hours only ) Like + RT + comment ' Drive ' Must Follow me so I can DM you.

@jackcoder0 thanks for sharing this for apple users

Apple is quietly hoping you never open the Settings menu on your iPhone 17 Pro Max. I did. There are 11 features Apple buried behind menus, long-presses, and toggles that turn the most expensive iPhone ever made into a device most owners are using at 20% capacity. A vapor chamber cooling system that lets you game and film without overheating. An 8x optical zoom most owners leave at 1x. A spatial scene lock screen that responds to your hand movement. ProRes RAW recording that professional filmmakers are switching to. A camera button that's actually a trackpad. And 6 more features hidden in Settings that change how the phone works daily. A professional photographer who shoots on both a $4,000 Sony cinema camera and an iPhone 17 Pro Max told me: "Half my portfolio is shot on the iPhone. Nobody can tell which is which. The difference between a snapshot and a professional photo on this phone isn't the hardware. It's the 11 settings most owners never find." Here's every feature Apple didn't explain in the keynote 🧵

@codewithimanshu you had a reason to smile

My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method is meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude Fable 5 agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude Fable 5 + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Fable 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you Save this post. Build the consensus system this week. Start with $200. Scale on evidence.

@Faazsh great opportunity to benefit from

🚨 ANTHROPIC JUST DROPPED THE PROMPT ENGINEERING MASTERCLASS EVERYONE’S BEEN WAITING FOR — AND IT’S 100% FREE 🔥 If you’ve been winging it with Claude (or any frontier model), this changes everything. They released Anthropic’s Interactive Prompt Engineering Tutorial — a full hands-on course in Jupyter notebooks straight from the Claude team. Not fluffy theory. Not generic tips. Real, interactive labs that walk you through building prompts that actually work at scale. What you’ll actually master inside: - Basic → Advanced prompting (the 80/20 patterns that separate beginners from power users) - Chain-of-Thought mastery — making Claude think step-by-step like a world-class expert - Tool use & function calling (including modern structured outputs & XML patterns that still crush it) - Real agentic workflows — the exact patterns Anthropic uses for complex, reliable agents - How to diagnose failure modes fast and fix them with surgical precision - Claude’s hidden strengths/weaknesses so you stop fighting the model and start orchestrating it The repo is sitting at ~35k stars for a reason. People are running through it and immediately leveling up their outputs. Why this hits different: Most “prompt engineering” content is noise. This is the official playbook from the company that obsesses over alignment and reliability. You’re literally learning how the Claude team designs cognition. Whether you’re building agents, automating workflows, coding faster, or just want 10x better daily results — this is the one course that actually delivers.Link in bio / first comment GitHub: anthropics/prompt-eng-interactive-tutorialDrop a if you’re starting this today. Who’s running the full thing this week? I want to hear your biggest “holy shit” moment. (Pro tip: Clone it, fire up Jupyter, and thank me later.) #PromptEngineering #Claude #Anthropic #AI #BuildInPublic

@forgebitz @promptwatch Great achievement guys! Super exciting to see it happening. Massive!

from an idea to a full-sized company within a year we raised a 6m seed round @promptwatch the mission stays the same: seo is changing; all search becomes ai search we are hiring across all roles in new york and amsterdam

Built with GPT Image 2 + Omni Flash + Seedance 2.0. I wanted to see if AI could generate a client ready storyboard, not just a few nice looking frames. So I gave it one prompt. The result: ✅ 12-shot storyboard ✅ Realistic POV product photography ✅ Camera actions for every scene ✅ ASMR audio cues ✅ Visual doodles ✅ Product features & warranty section ✅ Ready to hand off to a client or video editor No Figma. No Photoshop. No manual layout work. Just one detailed prompt. This is the exact workflow I'd use for product commercials, UGC ads, Amazon listings, Kickstarter campaigns, and client pitches. The full prompt is below if you want to recreate it. Prompt: Create a clean, premium storyboard infographic for a product ASMR unboxing video. Background: White background with a modern minimalist layout. Title: STORYBOARD Product: HAN RIVER WET & DRY 2 IN 1 STEAM IRON Subtitle: ASMR UNBOXING (POV HAND) Create a 12-panel storyboard arranged in a 4×3 grid divided into: PART 1 (0–10s) PART 2 (10–20s) PART 3 (20–30s) Each panel should include: • Number & timestamp • Realistic cinematic image • Handwritten doodle text • Visual • Action • Doodle • Audio Use premium commercial photography with warm studio lighting, shallow depth of field and POV hands only. Finish the infographic with: • What's in the Box • Key Features • Warranty • Ideal For • Metadata section Typography should resemble a premium creative agency storyboard with clean spacing, dark blue accents and thin gray grid lines. (Then include the detailed shot list for all 12 scenes.)