AI shouldn't just think,
it should also do.

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Manus was born from an idea that seems almost unremarkable today: AI shouldn’t just think, it should also do.


— Red, CEO of Manus

It was a bold experiment.


None of us had any idea what could actually be built. Until one day, Manus replicated a product - one that had taken us over a month to build - by sourcing APIs, gathering data, building a website, and designing assets on its own. All in one hour.


I knew then - the rest of the story would unfold like the butterfly that flaps its wings.

Who we build for

Day 1. A mother of multiple kids always faced the same weekend dilemma: kids or work. The day Manus launched, she gave it a try, handing off a full day's workload. Just one hour later, Manus told her it was done. She was surprised, so were we. She spent the rest of the weekend with her children.


Month 5. Arkady, 86, not a programmer, but a linguist who spent his career believing the world teaches languages the wrong way. He never had the tools to build his vision, until Manus. With it, he built a fully working AI web app that generates infinite personalized lessons and trains learners to think directly in a new language. No coding, no team, just one man and a lifelong idea brought to life.


Month 8. Noelle, a florist in Singapore, used to spend hours messaging customers who couldn't quite picture their dream bouquet. Many gave up halfway. With Manus, she built a no-code AI bouquet designer that lets customers pick flowers, see a realistic preview instantly, and check out on their own. More orders, happier customers, and Noelle is finally free to focus on what she loves: arranging flowers.


Year 1. Anyone who can use a messaging app can use Manus.


It's been so rewarding to see Manus reach the people who need it most: mothers still navigating the impossible balance between work and family, countless super-individuals racing against time to bring their ideas to life, and those lifelong learners who refuse to slow down. So many of them are already using Manus.


And next?

Still not enough

I still remember it vividly. On launch day, gasps of amazement echoed from every corner of the office as we watched the use cases users were sharing. I walked over to a huddle of engineers marveling at one in particular: an NBA player quadrant chart that plotted each player's headshot by points scored and shot attempts, producing a clean, intuitive efficiency matrix.

What Manus can do on Mar. 5th, 2025

None of us could have imagined that just one year later, Manus would be capable of building full-stack web apps, complete with databases and AI-native features, and even mobile apps.


But this is not enough.


There are still so many non-technical people who have never had access to the magic of coding, still locked out by AI.


We want to go further - to empower everyone, from business teams and professionals to creators and everyday users, to extend what they're capable of, whether or not they've ever written a line of code.


We also want to go deeper - to make Manus work 24/7, tirelessly, on our behalf.


To get there, we need to prove our infrastructure can handle always-on intensity, keep costs viable even at that scale, and uncover enough compelling scenarios that people have a reason to keep an agent running around the clock.


A year from today, we welcome you to come back and see how far we've gone.

The Butterfly flaps its wings

If you've made it this far and have been wondering who "I" is - I'm nobody, and I'm everybody. I'm everyone on the Manus team.


Thank you to the incredible Manus community. It's your love that carried us here.


Thank you to our fellow builders across the AI industry. The breathtaking pace of foundation model progress this year is what made all of this possible.


And thank you to ourselves, for pouring our hearts and souls into this product, for going faster than anyone thought we could.


We mark this one small step, take a pause, reflect, and keep going.


See you in Ep. 2.


Thank you for making it here,

Everyone at Manus

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