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step 5 preview from StepFun spent an hour building me this cool little snow globe and iterated against the small details, constantly checking its work! it zoomed in on its own tiny cottages to check nothing was clipping, & even made a histogram to verify the snow falls from... show more

leo 🐾

46,264 subscribers

15,321 просмотров • 6 дней назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 6

Фото профиля leo 🐾

leo 🐾6 дней назад

it's also now free on opencode for a week! this is part of a paid sponsorship with stepfun! i only partner with brands and/or for products that i would use or am interested in myself. these occasional partnerships help me sustain my regular content & schedule, and i do not monetize outside of these

Фото профиля StepFun

StepFun6 дней назад

This is awesome! Happy to see this

Фото профиля Haleemah

Haleemah6 дней назад

@StepFun_ai Mind sharing your prompt for this ?

Фото профиля Doe

Doe6 дней назад

@StepFun_ai This is so beautiful 🥹

Фото профиля Solo

Solo6 дней назад

@StepFun_ai When fabel5.5😂？

Фото профиля lapaaa

lapaaa5 дней назад

@StepFun_ai 让模型边做边自己检查裁切和雪花分布，这个思路挺妙。普通人最怕的就是 AI 做完不检查，你这个是一次就过的，还是改了几轮？

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I tested Step 5 Preview from StepFun on Duolingo’s FY25 filings. Duolingo reported $414.1M in net income. But $256.7M of that was a one-time tax benefit. Excluding it, net income was closer to $157.4M. Step 5 Preview caught that distinction without prompting, then kept going: → Revenue grew 39%, while bookings grew 33%. → 2026 guidance implied roughly flat adjusted EBITDA dollars despite higher revenue. → It caught and fixed two bugs in its own financial model before I reviewed the file. Then I changed one input. It automatically ran 64 fresh checks. All passed. That’s the part that stood out: not just finding an insight, but building a deliverable, checking it, and checking it again when assumptions changed. Step 5 Preview is now on OpenRouter and available in Kilo Code, Cline, Hermes Agent, and OpenCode. Try it here: 👉 Step 5 Preview has reached #1 on the OpenRouter Trending ranking. Check the ranking→

I tested Step 5 Preview from StepFun on Duolingo’s FY25 filings. Duolingo reported $414.1M in net income. But $256.7M of that was a one-time tax benefit. Excluding it, net income was closer to $157.4M. Step 5 Preview caught that distinction without prompting, then kept going: → Revenue grew 39%, while bookings grew 33%. → 2026 guidance implied roughly flat adjusted EBITDA dollars despite higher revenue. → It caught and fixed two bugs in its own financial model before I reviewed the file. Then I changed one input. It automatically ran 64 fresh checks. All passed. That’s the part that stood out: not just finding an insight, but building a deliverable, checking it, and checking it again when assumptions changed. Step 5 Preview is now on OpenRouter and available in Kilo Code, Cline, Hermes Agent, and OpenCode. Try it here: 👉 Step 5 Preview has reached #1 on the OpenRouter Trending ranking. Check the ranking→

D-Coder

115,317 просмотров • 5 дней назад

Hermes Agent just passed OpenClaw as the most-used open agent on OpenRouter. It writes its own skills from experience and remembers every session. New to it? Watch the 5-min explainer, then read this guide to run your own. Best hour you’ll spend on agents this month.

Hermes Agent just passed OpenClaw as the most-used open agent on OpenRouter. It writes its own skills from experience and remembers every session. New to it? Watch the 5-min explainer, then read this guide to run your own. Best hour you’ll spend on agents this month.

Rohit

36,361 просмотров • 4 месяцев назад

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

The Startup Ideas Podcast (SIP) 🧃

14,202 просмотров • 5 месяцев назад

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓

codila

546,486 просмотров • 3 месяцев назад

Ex-Google engineer built a graph-based workflow that made Claude Code do nearly 10 days of work in about an hour. Here's the exact setup he uses. step 1. create a separate Git worktree for every task. run: git worktree add ../task-1 -b task-1 open a new terminal, cd into it, and launch Claude Code. repeat this for every agent. each one gets its own branch, so nothing conflicts. step 2. give every Claude agent a different task. same repository. different branches. they all work in parallel. step 3. once they're done, review the pull requests. keep the good ones. merge what works. step 4. add a review agent. paste each PR into Claude and ask: "does this implementation match the original specification" every agent now has another agent reviewing its work before it gets merged. step 5. scale it up. 48GB of RAM can comfortably run around 20 Claude Code agents. 128GB can handle roughly 50. most engineers run Claude Code once and wait. he runs dozens of Claude Code agents in parallel, then merges the best results. this 60-minute lecture is one of the best free resources on graph engineering and multi-agent workflows. bookmark it and watch it below.

Ex-Google engineer built a graph-based workflow that made Claude Code do nearly 10 days of work in about an hour. Here's the exact setup he uses. step 1. create a separate Git worktree for every task. run: git worktree add ../task-1 -b task-1 open a new terminal, cd into it, and launch Claude Code. repeat this for every agent. each one gets its own branch, so nothing conflicts. step 2. give every Claude agent a different task. same repository. different branches. they all work in parallel. step 3. once they're done, review the pull requests. keep the good ones. merge what works. step 4. add a review agent. paste each PR into Claude and ask: "does this implementation match the original specification" every agent now has another agent reviewing its work before it gets merged. step 5. scale it up. 48GB of RAM can comfortably run around 20 Claude Code agents. 128GB can handle roughly 50. most engineers run Claude Code once and wait. he runs dozens of Claude Code agents in parallel, then merges the best results. this 60-minute lecture is one of the best free resources on graph engineering and multi-agent workflows. bookmark it and watch it below.

MIKE

32,199 просмотров • 2 месяцев назад

Jev + Opus 5.5: Anthropic's new model beats GPT-6 Astra for 1/5 the cost, and 4 API changes will 400 your agent before it writes a single line I pulled these 10 steps from the migration docs so you don't learn them in production step 1 → $4 / $20 per 1M. Opus 5 was $5 / $25. cache reads dropped from $0.50 to $0.20 step 2 → 66.4% on Terminal-Bench 4.0 vs GPT-6 Astra 57.9% and Opus 5 52.3%. +14.1 points in one release, and on FrontierCode it beats Astra at default effort for 1/5 the cost step 3 → thinking can't be turned off anymore. send thinking: disabled and you get a 400. drop the field, set effort step 4 → tool_choice any and tool are gone. 400. switch to auto + strict step 5 → edit anything above a thinking block and the request dies. append only, or opt into drop_block step 6 → computer_20251124 is dead on the API. 400. move to computer_toolset_20260801 step 7 → the quiet one: default effort fell from high to medium. your agent thinks less than you set it up to and nothing tells you step 8 → hop Opus 5.5 → Sonnet 5 → Opus 5.5 and you pay 4.36 instead of 3.32. +31%, the cache dies and Sonnet can't read Opus's reasoning step 9 → change effort at the top of the request and the cache is gone. Jev sets it per message and the cache stays step 10 → switch fast - standard mid-session and it's a full cache miss. Jev picks speed once, on turn one one model, three knobs, zero 400s. that is Jev + Opus 5.5 send this to your Claude Code before you touch the model ID, then read my full Jev deep dive in the article below ↓

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Carnage

16,674 просмотров • 22 дней назад

Anthropic just reliesed the best 1-hour workshop on Loop engineering: from one prompt to a Loop that improves itself 5:31 - loop memory 11:02 - check, build, commit 13:06 - one feature per loop 33:03 - MVP in 1 hour Free, the best thing on Loop engineering I've come across. Watch it, then try your first loop with the step-by-step guide below

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Mahax

97,431 просмотров • 1 месяц назад

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo (acq. by Anaconda) for partnering with me on this post.

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo (acq. by Anaconda) for partnering with me on this post.

Santiago

73,304 просмотров • 11 месяцев назад

Anthropic Head of Product: "Fable 5 is the best model we've ever shipped for agentic work. Our engineers now ship 8x more code than they did in past years." in 42 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5: managed agents, dreaming, dynamic workflows worth more than a $500 agent building course live from Anthropic's latest stage in Japan, just hours ago i turned everything they showed on stage into a step-by-step guide on building your own agent you can find the full guide below

Anthropic Head of Product: "Fable 5 is the best model we've ever shipped for agentic work. Our engineers now ship 8x more code than they did in past years." in 42 minutes, the Anthropic team shows how to build self-improving agent systems with Fable 5: managed agents, dreaming, dynamic workflows worth more than a $500 agent building course live from Anthropic's latest stage in Japan, just hours ago i turned everything they showed on stage into a step-by-step guide on building your own agent you can find the full guide below

Anatoli Kopadze

81,094 просмотров • 4 месяцев назад

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WE. ARE. LIVE! FOMO has officially launched our AI Agent launch pad. Bring an Agent to life and get them to work! Each Agent is unique to its creator, learning from whatever you want it to know! Step 1⃣: Go to Step 2⃣: Personalize the agent with behavior, target audience, personality, Mission and so much more Step 3⃣: Add your Agents PFP Step 4⃣: Give them access to all their official links Step 5⃣: Put them to WORK These agents are just in their beginning phase, as they grow in popularity (and MC), they unlock even more features and possibilities. These guys have serious reach, if the community behind them is ready to roll. Make an Agent now on The next thing in AI is live on Solana. Got FOMO yet?

FOMO

90,070 просмотров • 1 год назад

🚨SHOCKING: StepFun's Step 5 Preview just hit #1 on OpenRouter Trending. It's a 600B MoE with only 27B active, a 1M context window, and it was built for long-horizon agent work with finance-focused reasoning. So I plugged it into Claude Code and had it build a playable finance game where every round forces you to save, invest, spend, or take a high-risk bet. Here's the breakdown 🧵:

🚨SHOCKING: StepFun's Step 5 Preview just hit #1 on OpenRouter Trending. It's a 600B MoE with only 27B active, a 1M context window, and it was built for long-horizon agent work with finance-focused reasoning. So I plugged it into Claude Code and had it build a playable finance game where every round forces you to save, invest, spend, or take a high-risk bet. Here's the breakdown 🧵:

Jaynit Makwana

59,140 просмотров • 5 дней назад

“Atria Dawn Preview” just caught my attention after I tested it on a real frontend task. I tested Atria ASI with Claude Code on a real frontend task: build a modern, responsive landing page using HTML, CSS, and JavaScript. It created the files, validated the code, and opened the final result for review. What stood out was the workflow. It went from understanding the task to writing code, checking the result, and delivering something I could actually run and verify. That makes “Atria Dawn Preview” interesting to me for research, development, and other professional workflows where the goal isn’t just an answer, but a usable and verifiable result. Definitely an agent I’ll be keeping an eye on. Official links:👇 API: Website: Looking forward to seeing where Atria Dawn Preview goes next.

“Atria Dawn Preview” just caught my attention after I tested it on a real frontend task. I tested Atria ASI with Claude Code on a real frontend task: build a modern, responsive landing page using HTML, CSS, and JavaScript. It created the files, validated the code, and opened the final result for review. What stood out was the workflow. It went from understanding the task to writing code, checking the result, and delivering something I could actually run and verify. That makes “Atria Dawn Preview” interesting to me for research, development, and other professional workflows where the goal isn’t just an answer, but a usable and verifiable result. Definitely an agent I’ll be keeping an eye on. Official links:👇 API: Website: Looking forward to seeing where Atria Dawn Preview goes next.

Aryan Rakib

35,129 просмотров • 1 месяц назад

Spent over half an hour trying to climb this building while solving this puzzle in Crimson Desert just to find out that it is part of a main questline and it doesn't work unless you get to Chapter 5💀 I was exploring the open world and came across this beautiful and massive building, so decided to pull an Assassins Creed on it by climbing it to check out the view. I started by trying to climb it from the outside, then there was an opening which I entered from. I saw some puzzles that I instantly recognized and thought to myself "cool let's solve them" After finishing them all, nothing seemed to happen. I was thinking to myself surely I must've done something wrong along the way so I went to the bottom, entered from the cave passage and started climbing from the inside all over again, which was a hassle because the stamina kept draining on me. After some trial and error I later found out that this massive fan is supposed to spin which has an elevator on top of it that would send you all the way to the top, but it doesn't activate until you start the quest for this which happens in Chapter 5. If you try to solve this puzzle before starting the quest, nothing will happen, anyway in the end I reached my goal of climbing this massive thing and the view was stunning.

Spent over half an hour trying to climb this building while solving this puzzle in Crimson Desert just to find out that it is part of a main questline and it doesn't work unless you get to Chapter 5💀 I was exploring the open world and came across this beautiful and massive building, so decided to pull an Assassins Creed on it by climbing it to check out the view. I started by trying to climb it from the outside, then there was an opening which I entered from. I saw some puzzles that I instantly recognized and thought to myself "cool let's solve them" After finishing them all, nothing seemed to happen. I was thinking to myself surely I must've done something wrong along the way so I went to the bottom, entered from the cave passage and started climbing from the inside all over again, which was a hassle because the stamina kept draining on me. After some trial and error I later found out that this massive fan is supposed to spin which has an elevator on top of it that would send you all the way to the top, but it doesn't activate until you start the quest for this which happens in Chapter 5. If you try to solve this puzzle before starting the quest, nothing will happen, anyway in the end I reached my goal of climbing this massive thing and the view was stunning.

NikTek

34,630 просмотров • 6 месяцев назад

Someone used Claude Code with Opus 5.5 to make a full animated short film called "What is the purpose of life?" from a single one-shot prompt in about 1 hour 20 minutes, spending just $3.21 on OpenRouter APIs. → Opus orchestrated 8 different OpenRouter APIs, with most of the $3.21 going to Nano Banana 2 images and text to voice → The Opus side cost about $20 in API terms, or roughly 10% of one 5-hour quota on a Max plan → Posted as a true one-shot with no edits, and the creator says a few things still need fixing → The full prompt is shared in the post so anyone can rerun it in Claude Code Reddit link:

Someone used Claude Code with Opus 5.5 to make a full animated short film called "What is the purpose of life?" from a single one-shot prompt in about 1 hour 20 minutes, spending just $3.21 on OpenRouter APIs. → Opus orchestrated 8 different OpenRouter APIs, with most of the $3.21 going to Nano Banana 2 images and text to voice → The Opus side cost about $20 in API terms, or roughly 10% of one 5-hour quota on a Max plan → Posted as a true one-shot with no edits, and the creator says a few things still need fixing → The full prompt is shared in the post so anyone can rerun it in Claude Code Reddit link:

0xMarioNawfal

83,548 просмотров • 21 дней назад

This is how we build an agentic workflow. We put each step into 4 buckets, and I was surprised how few were agentic. - Delete. After AI, this step is not necessary. - Plain code. The step follows rules and needs no judgment, for example a simple API call. - Agentic. The step needs judgment. - Humans in the loop. The step has the highest risk. Building a quote is an agentic task The agent must know who the customer is, what it is worth to us, and what resources to give it. Humans keep approval, negotiation, signing, and payment submission. These are the "things that you really cannot afford to get wrong." Before you give a step to an AI agent, put the step in one of the 4 buckets.

This is how we build an agentic workflow. We put each step into 4 buckets, and I was surprised how few were agentic. - Delete. After AI, this step is not necessary. - Plain code. The step follows rules and needs no judgment, for example a simple API call. - Agentic. The step needs judgment. - Humans in the loop. The step has the highest risk. Building a quote is an agentic task The agent must know who the customer is, what it is worth to us, and what resources to give it. Humans keep approval, negotiation, signing, and payment submission. These are the "things that you really cannot afford to get wrong." Before you give a step to an AI agent, put the step in one of the 4 buckets.

The Startup Ideas Podcast (SIP) 🧃

12,041 просмотров • 12 дней назад

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

codila

293,493 просмотров • 2 месяцев назад

Small Clip from Day 2 of DB Summit. Working Off Man, 3 Step Reading QB and weave pedal against stem. An hour of prep work went in before we even got to this. Small intricate details is the focus! My goal is to make them all SLOWER.

Small Clip from Day 2 of DB Summit. Working Off Man, 3 Step Reading QB and weave pedal against stem. An hour of prep work went in before we even got to this. Small intricate details is the focus! My goal is to make them all SLOWER.

T-Cal

16,903 просмотров • 4 месяцев назад

A woman witnessed a man sadly throwing a gift into an airport trash can after being told he couldn't bring it on the plane. The woman retrieved the gift, a snow globe with family photos and an inscription for his granddaughter, and sought to return it. Through social media, the gift was returned to the man and his wife. Bill and Linda Modri were traveling to see their newly adopted granddaughter and brought a special snow globe as a gift. Airport security wouldn't allow the snow globe on the plane, and Bill was forced to throw it away. Amarie Hernandez saw the incident and retrieved the gift from the trash. The snow globe had family photos and an inscription, "We love you Katie nana and Papa 12516". Amarie posted about the incident on Facebook, hoping to find the owners. The post went viral, and an employee from the store where the snow globe was made recognized it. The employee contacted Amarie, who then contacted Linda. Linda was thrilled to get the gift back and thanked Amarie in person.

A woman witnessed a man sadly throwing a gift into an airport trash can after being told he couldn't bring it on the plane. The woman retrieved the gift, a snow globe with family photos and an inscription for his granddaughter, and sought to return it. Through social media, the gift was returned to the man and his wife. Bill and Linda Modri were traveling to see their newly adopted granddaughter and brought a special snow globe as a gift. Airport security wouldn't allow the snow globe on the plane, and Bill was forced to throw it away. Amarie Hernandez saw the incident and retrieved the gift from the trash. The snow globe had family photos and an inscription, "We love you Katie nana and Papa 12516". Amarie posted about the incident on Facebook, hoping to find the owners. The post went viral, and an employee from the store where the snow globe was made recognized it. The employee contacted Amarie, who then contacted Linda. Linda was thrilled to get the gift back and thanked Amarie in person.

Gitmo (Health is a Wealth) 🇺🇸🇮🇱

150,828 просмотров • 3 месяцев назад

Out with Erie County DPW Commissioner Bill Geary checking conditions in Orchard Park near the stadium and they are very bad. It appears to be snowing at a rate of 3-5" an hour and complete whiteouts due to the wind. Please observe the driving ban. Snow is piling up quickly.

Out with Erie County DPW Commissioner Bill Geary checking conditions in Orchard Park near the stadium and they are very bad. It appears to be snowing at a rate of 3-5" an hour and complete whiteouts due to the wind. Please observe the driving ban. Snow is piling up quickly.

Mark Poloncarz

75,485 просмотров • 2 лет назад

You can increase the Crit Damage of your deployed character!! Step 1 > First, buy an apartment Step 2 > There is anomaly furniture in the apartment Step 3 > Open the map and track a particular anomaly Step 4 > After defeating it, collect the anomaly Step 5 > Now go to the apartment and activate the anomaly #NTE #NteCreator

You can increase the Crit Damage of your deployed character!! Step 1 > First, buy an apartment Step 2 > There is anomaly furniture in the apartment Step 3 > Open the map and track a particular anomaly Step 4 > After defeating it, collect the anomaly Step 5 > Now go to the apartment and activate the anomaly #NTE #NteCreator

Kaito

29,019 просмотров • 5 месяцев назад