After 3 YEARS using CLAUDE, I can honestly say this technology has changed my life. Here are 10 prompts I use daily that have transformed my day to day; they could do the same for you: (Save this 🔖)

We spent years treating knowledge as documentation. AI is turning knowledge into behavior. Feed an agent the right expertise and it doesn't just know the information...it acts on it. That's a pretty fundamental shift in how organizations capture and scale experience. Every company has playbooks, frameworks, research, and years of hard-earned knowledge sitting in docs. What if all of that could become skills an agent learns in seconds? What knowledge would you turn into a skill first? #HyperagentPartner

We wanted better design fundamentals from our agents. So we fed them this 162-page pdf on designing with a grid system. Now our agents use code to adhere to a grid and design beautiful layouts. Example skill below 👇

Your coding agent can run all night. It still can't tell if what it built actually works. Today we're open-sourcing the TestSprite CLl (Apache-2.0) A tool your agent calls on its own to test your app end-to-end like a real user, fix what broke, and re-check everything it ever got right. It's the same engine 100,000 teams already use. github.com/TestSprite/testsp… We proved it in public, on a public leaderboard: Most correct app on the board:89% Built by the cheapest model in the field At half the cost of the priciest one You no longer need the biggest, most expensive model to ship software you can trust. Setup is 2 commands: npm install -g @testsprite/testsprite-cli testsprite init That's the last command you'll ever type - from there, your agent runs the tests itself.

Zidane’s World Cup journey, from 1998 glory to the unforgettable 2006 final. Built with Gauth Atlas by @Gauth_AI — turning sports history into interactive visual worlds you can actually explore. Try it here gauthmath.com/atlas

The biggest risk in AI-generated code isn't bad code. It's the code nobody actually tested. AI can now produce hundreds of lines in minutes. Shipping code is becoming effortless. Confidence isn't. According to Sonar’s 2026 State of Code report, 96% of developers don't fully trust AI-generated code, yet only 48% consistently verify it before merging. AWS CTO Werner Vogels calls this growing gap "verification debt." And that's the real bottleneck. Most AI coding tools focus on reading code, analyzing diffs, and predicting what might happen. @Test_Sprite takes a completely different approach. Instead of inspecting code, it runs the application and interacts with it the way real users do. Its parallel exploration agents uncover user journeys, generate test coverage from actual interactions, and validate behavior against the live application, not assumptions derived from static analysis. Because production incidents rarely happen because of a diff. They happen because nobody validated how the system behaves end-to-end under real usage. Adding another AI reviewer to AI-written code doesn't solve verification debt. The answer is execution. Test the software. Validate the behavior. Close the loop. That's exactly what @Test_Sprite was built to do.

Transcript cleanup has been a solved problem for a while. Visual cleanup is the actual bottleneck. When you cut the audio, the video usually looks like a glitch in the matrix. Erasing the jump cuts entirely is a massive step forward for automated editing.

As someone who constantly restarts sentences, this feels incredibly useful. Keeping the original take is the real win. The seamless edits are seriously impressive. 👏

This looks like a serious step forward. The deployment and model access stack is impressive. Excited to see what builders create with it.

Want to turn a website into a launch video for your brand? This tutorial shows you how We used @ollama as example, but the workflow works for any company. Every frame is HTML, CSS, and GSAP, written like a webpage and rendered with HyperFrames Follow the workflow below ↓

You nailed the point but stumbled on the words, so you record the whole thing again. And again Speech Cleanup takes your first take and removes every filler, pause, false start, and retake automatically The result is one seamless video. Other tools leave it jumping at the cuts

Removing filler words? Easy. Removing the awkward visual jump cuts that come with it? Historically a nightmare. HeyGen just turned a multi-step editing headache into a one-click automated fix. Watch the transitions in the demo..they basically disappear. 👇

If I were in my 30s or 40s right now and wanted to leverage AI to retire within 10 years, here's what I'd do: 1. Immediately form an LLC company. Not next month. Not once you're 'ready.' This week

After 3 YEARS using CLAUDE, I can honestly say this technology has changed my life. Here are 10 prompts I use daily that have transformed my day to day; they could do the same for you: (Save this 🔖)