Three new Chinese AI agents dropped this month. All open-source. All autonomous. I gave each one a sentence — and they built me playable worlds while I slept.
Everything here comes from the labs' own announcements, model cards and benchmark notes. Nothing second-hand. Here's where to read each one and try it yourself.
"Zhipu shipped a frontier-class flagship — a usable 1-million-token context window, open weights under MIT — with no benchmark numbers at all."
— Z.ai (Zhipu AI), GLM-5.2 launch · June 13, 2026. Kimi K2.7-Code landed June 12; N2 keeps pace with GPT-5.5 and Opus 4.7 — for free.
This is the payoff first. Every one of these is a real, playable build one of the three agents wrote from a single sentence. Open them on your own machine and play.
I didn't draw these. I didn't hire anyone. I typed one line into each agent and walked away. These are the frames they rendered.
The two "live · running" tiles are the real builds embedded and moving on this page. Your cursor stays free — click play ↗ on any tile to open the full build. (Live tiles need this page opened from your machine to render.)
Three agents. One screen. You don't pick a winner — you run all three and keep the best build.
You never write a single line of code. You type one plain sentence — "make me a dragon game" — and the agent writes the whole thing.
If you can paste one command to install it, you're past the hard part. Members who'd never opened a terminal are building games this week.
Before
I wanted to build things. Games. Apps. Little tools.
But I'm not a game developer. I'd open a tutorial and close it.
I was paying for the big AI plans every month just to get a half-finished file.
And the cheap models? They'd hit a limit and stop in the middle of a build.
So I built nothing. For years.
Then three Chinese agents dropped — and I gave each one a sentence.
After
Now I type one line and walk away.
I wake up to a playable open world. A dungeon. A working desktop.
One of the three is completely free, so the bill went down, not up.
They all live in one dashboard, so I never copy-paste between tabs again.
You can have this too. Same three agents. Same one screen.
Here's what's happening for the members already running this stack — agency owners, ecom founders, creators, solo operators. Different businesses. Same result: they build with AI instead of just chatting with it.
You've seen the proof. Real people. Real builds. Real games made from one sentence.
The next ten minutes show you exactly which agent does what, and how I wired all three into one screen.
So here's the deal.
Promise yourself one thing right now. You'll finish this guide AND install one of these three agents before you sleep tonight. Just one. Because the moment you make this transition, the whole way you work with AI changes — you stop renting answers and start owning a builder.
The people sitting still are getting passed. The people who pick one of these up today are the ones who'll look back in six months and say "that was the moment."
Be one of those people.
Commit to the transition. Commit to taking action today. This changes everything about how you build.
Three agents, three jobs. You don't choose one. You keep all three and point each at what it's best at. That's the whole framework — and it's why you never get stuck again.
Your heavy lifter. A trillion-parameter brain that writes big, complex builds in one shot — and now runs fast. When the job is hard, you hand it to the Powerhouse and it finishes.
Your never-forgets agent. A million tokens of memory means it can hold a whole project — every file, every rule — in its head at once. Big builds stop falling apart halfway through.
Your zero-cost workhorse. It keeps pace with the expensive models on coding, and it costs you nothing. So you experiment all day without ever watching a bill.
Moonshot dropped Kimi K2.7-Code on June 12. It's the big one — a trillion-parameter mixture-of-experts model that only lights up 32 billion of them per token, so it's huge but still quick. It reads up to 256,000 tokens at once, and it's open-source under a modified MIT licence.
The headline Moonshot reported: against the last version, K2.7 is up +21.8% on its Kimi Code Bench v2, +11% on Program Bench, and it uses about 30% fewer "thinking" tokens to get there. In plain English — it's smarter and it wastes less. The honest caveat: those are Moonshot's own benchmarks. There are no independent third-party scores on the big public tests for K2.7 yet, so treat the numbers as vendor-reported. (For reference, the previous K2.6 scored an independently-verified 80.2% on SWE-bench Verified.)
So what did the Powerhouse actually build for me? It built The Dragon Realm — a first-person open world you can walk around, with a compass, health and stamina. Then it built Kimi Crypt 3D — a torch-lit dungeon with enemies and combat. Two playable 3D games. From two sentences. You can open both up top.
It only fires 32 billion at a time, so it's fast — and the new HighSpeed mode hits up to 260 tokens a second.
At $0.95 a million tokens, a whole game costs you pennies. The open weights are free to download.
Put the free one head-to-head with Claude's flagship and the gap is smaller than the price tag suggests:
Benchmark sources: closed-model scores via the SWE-bench Verified leaderboard (as of 13 Jun 2026); dragon scores are vendor-reported (Nex AGI for N2, Moonshot for Kimi K2.6). GLM-5.2 published none.
Z.ai — that's Zhipu, the Beijing lab spun out of Tsinghua University — shipped GLM-5.2 on June 13. Its superpower is memory. It holds a full one million tokens of context. That's a whole codebase, every file and rule, in its head at once — so big builds stop falling apart halfway through.
Here's the funny part — Zhipu released a frontier flagship with no benchmark numbers at all. None. No SWE-bench, no LiveCodeBench, nothing. For a big launch, that's almost a flex: "judge it by what it builds, not by a chart." Their stock jumped when they open-sourced it under MIT. And it's priced at about a tenth of the premium Claude coding tiers, sitting on the GLM Coding Plan.
So I judged it by what it built. GLM-5.2 made me a full third-person Realm RPG — a knight, real enemies, levels, a spell hotbar. It rebuilt the open world as a Frozen Dragon Realm with a complete HUD. It even drew its own splash art (that dragon up top) and built a working desktop operating system in the browser — wallpaper, clock, dock, windows. The long memory is why these big builds hold together.
You don't take their word — you take the build. A full RPG and a working desktop OS, from sentences, are the test.
And the weights are open under MIT. Anyone can run it and check. That's more honest than a cherry-picked chart.
This is the one that breaks the rules. N2 — Nex-N2-Pro, from Nex AGI — is a proper agentic model: 397 billion parameters, only 17 billion active, built on the Qwen3.5 architecture. It plans, codes, debugs and tools-uses in one loop. And it is free on OpenRouter, with open weights under Apache 2.0.
Free usually means weak. Not here. On Nex's own numbers, N2 hits 80.8% on SWE-bench Verified, 58.8% on SWE-bench Pro, and 75.3 on Terminal-Bench 2.1 — they say it keeps pace with GPT-5.5 and Opus 4.7. Vendor-reported, yes, but the weights are open so anyone can check. And it has Adaptive Thinking — it decides on its own when to reason hard and when to just act, cutting wasted tokens by a third to a half.
What did the free one build? A glowing Synthwave sunset scene and a Warp-speed starfield — both real, both animated, both made by a model that charged me nothing. One catch worth knowing: it's a reasoning model, so for clean code you tell it to stop over-thinking, and the free endpoint can throttle if you hammer it — so you run jobs one at a time. Small price for free.
This one does throttle if you fire ten jobs at once — so you run them one at a time, and it just works.
For a model matching GPT-5.5-class coding at zero dollars, running sequentially is a trade I'll take all day.
You just saw Kimi finish hard builds, GLM hold a whole project in memory, and N2 do it for free. The Agent Operating System inside the AI Profit Boardroom is where all three run side by side — one screen, shared memory, every build saved.
link in the description ↑
Let's be straight. Claude's Fable 5 and Opus 4.8 are still the most capable coders alive. But look where the dragons land — most of that capability, for free or pennies. That's the whole pitch.
Agencies, ecom, coaching, content, SaaS — the engine room doesn't care what you sell. It builds whatever you describe.
And "later" is the trap. Six months from now this is normal. The window where running three frontier agents for almost nothing is a head-start? That's open right now.
158 pages of members who already broke through these exact beliefs — real businesses, real builds, documented.
Read the 158-page testimonials doc →N2 is free, GLM is a tenth of a premium plan, Kimi is pennies. Your AI bill shrinks.
Kimi finishes the hard builds in one shot — no more half-done files.
GLM's 1M memory holds your whole project so big builds don't fall apart.
All three are open-source. Download the weights. They're yours.
One sentence in, a playable world out. Games, apps, tools — while you sleep.
One dashboard, shared memory. No more copy-pasting between tabs.
You don't need the biggest model. You need three dragons, one screen, and a sentence to start.
If you want this stack to actually work for you — not just be three more models you poke at sometimes — grab the Agent Operating System inside the AI Profit Boardroom. It turns Kimi, GLM and N2 into one system with shared memory, shared context, and one dashboard you control.
Your agents understand your business. They remember everything. And every new release — like these three this month — makes the whole system more powerful automatically.
Pick one dragon. Install it tonight. I'll see you in the next one.