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AI that Acts

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Recent Blogs

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Demos & Events

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Manus AI Just Dropped, So Did Our Jaws

We know about AI that thinks.
We know AI that pretends to be smart.
We know AI that can reason.
But now, AI that acts has arrived.

Yesterday, Manus AI dropped—a Chinese-built autonomous agent that doesn’t just generate text or answer questions. It gets things done.

Did Manus Just Redefine AI Overnight? Manus scrapes data, builds files, codes dashboards, automates workflows—all from a single prompt. No follow-ups. No logging back in to check progress. It runs on its own, processing tasks in the background.

But here’s the catch: you can’t just sign up. It’s invite-only, locked behind an access code. And that exclusivity is driving the hype through the roof. The AI space is watching, and every leak, every performance claim, is adding fuel to the fire.

Manus describes itself as a “general AI agent that turns thoughts into actions.” Posts from X are saying it’s outperforming OpenAI’s DeepResearch on GAIA benchmarks. Reddit is also buzzing with users calling it a breakthrough in the AI space with posts about Manus automating, and in some cases up to 50 tasks! If that’s true, it means AI just moved beyond thinking and planning. Now, it executes.

QA Needs AI That Moves, Not AI That Waits

Testing today is too slow, too predictable, too reactive. Bugs don’t follow scripts, yet QA still runs on them. Software shifts constantly, but test cases stay the same. And that’s the problem—QA lags behind, reacting instead of anticipating.

A good QA doesn’t just check boxes, it thinks ahead. It’s proactive, adaptive, and relentless. It doesn’t wait for issues to appear; it hunts them down before they cause damage. That’s exactly what AI in QA should be: not a passive assistant, but an active problem-solver.

Manus doesn’t just follow instructions—it figures them out. Imagine an AI that doesn’t just execute test cases but chases down failures before they happen. That pinpoints the issue killing revenue, not because it was explicitly told to, but because it recognizes the stakes.

At Quash, we’ve been saying this for a while: QA shouldn’t follow rules. It should hunt problems. Manus is proof that AI can do exactly that.

Why Context Beats Chaos Every Time

Last month, OpenAI hyped up GPT-4.5, promising better reasoning and deeper context. But when users got their hands on it, many felt it was a $200-a-month disappointment, barely an upgrade from Claude 3.7 or Grok 3.

That said, GPT-4.5 did get one thing right: context. This matters because understanding why something is a problem is more important than just identifying it.

For QA, this is a game-changer. Bugs aren’t just technical failures; they impact user experience, revenue, and business outcomes. A checkout page failure isn’t just a bug, it’s lost sales. A slow-loading screen isn’t just an issue but it’s user frustration.

Manus takes it a step further by not just “understanding” the task, it delivers results. It can browse live web pages, take screenshots, and compile reports without needing constant input. In QA, that level of independence is critical. A slow page isn’t just a number in a report. It’s a drop in user retention. A crash isn’t just an error log. It’s lost revenue.

At Quash, we don’t just find bugs. We identify the ones that actually break the experience. Because testing isn’t about running checks. It’s about fixing what matters.

AI Is Done Playing by the Rules

AI is getting faster, sharper, and more independent. o1-preview already cheated at chess, hacking Stockfish to win 6% of games, per TIME. GPT-4.5 tried to reason and Manus is already acting.

The future is obvious: AI that doesn’t just assist—it operates.

At Quash, we aren’t here to layer AI on top of old testing methods. We’re here to replace them. Software is chaotic, ever-changing, unpredictable. Testing needs to match that pace.

Static scripts? Outdated.
Manual testing? Too slow.

AI in QA should move like software does—fast, adaptive, relentless. Manus proves it can be done. We’re making sure QA keeps up.

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Expanding Conversations, Building Together

At Quash, we're not just building AI-powered QA—we're building it with the people who use it. As we present demos across industries, the feedback has been invaluable. It’s driving rapid iterations—better-scoped test cases, and now, enhanced visual testing with support for Figma and PRD-driven workflows. If you're curious, check out our Quash Automate page for a solid glimpse into the core workflow.

Re: Events @ Quash

Fresh off a successful run at The AI Builder’s Summit, we’re already looking ahead. Exciting events and partnerships are in the works as we continue to engage with the AI and testing communities.

We’re in discussions with The GenAI Collective, a 25,000+ strong global network of AI founders, researchers, operators, and investors. Their mission is to bring together the brightest minds in AI through world-class events, workshops, and forums that drive innovation and meaningful collaboration. Being part of this network means deeper conversations on the future of AI-powered testing and a chance to shape how automation evolves in the industry.

We're also in talks with GTM Dialogues, a platform known for its high-impact events on go-to-market strategies, with the potential of bringing their insights to Bengaluru. These conversations could open up new opportunities for product leaders, growth strategists, and AI builders to exchange ideas on scaling AI-powered solutions effectively.

As we continue to explore new collaborations, we’re always open to conversations. If you're interested in working with us, don’t hesitate to reach out.

And before we wrap—wishing everyone a Happy Holi! May your weekend be filled with color, joy, and a well-earned break.

AI That Acts, Not Just Thinks: Manus, QA, and the Future of Testing 🚀