9:00 AM. Slack, Notion, Jira, ChatGPT, Claude... 12 windows open before you've done anything.
10:00 AM. Meeting. Same update, explained for the third time to a different person.
11:00 AM. Open Claude, repeat everything from the meeting, and align on the frontend design. Switch to GPT, explain the same background again, and walk it through the backend. You screenshot the result and drop it in the group chat. A teammate replies: "We already discussed this. Doesn't work."
1:00 PM. A wave of last-minute requests lands, and you have no idea what led to any of them. So you become a human router: scrolling back through chat history, pinging one teammate, then another, pasting the pieces into AI one by one, then posting AI's answer back to the group.
5:00 PM. Time to log off, and it feels like you got nothing done.
It's the AI era. So why are we still working together in a way that's slow, wasteful, and completely unfriendly to AI?
Because we've never had the right tool.
Offloop is the answer. Everything lives in one workspace. Every message lives in a channel. People and AI sit in the same group, so whatever's been said or decided, every person and every agent already knows. No more juggling a dozen apps. Agents handle most of the work directly.
This is how teams will work.
Prompt is dead. Now just make a wish.
Guys, I just test latest deepseek v4.1 flash 1017 @deepseek_ai.
It is insane. It is so insane.
ONLY one prompt, one shot, and it built the cod style fps game:
build a call of duty 23 fps game use three js.
It auto build 37 mins and JUST 0.1 USD!
5-wave tactical survival operation, 3 operators,3 difficulty protocols.
I can not find word to describe my feelings now.
It seems the same level as Gemini 4 and better than Chatgpt 6.1 sol
@deepseek_ai is back.
i've been testing DeepSeek v4.1 Flash 1017 for the past few hours.
-> one shot, 31 minutes of autonomous execution
-> only $0.22
-> the promising part is how far it can carry a task from a brief description without me steering every step. this is the kind of long-running execution that makes “just describe what you want” coding feel useful.
this SpongeBob showcase is one of the results, a short prompt asking for a 30-second Three.js scene with water absorption, simulated physics, cinematic lighting and bubbles.
We gave Gemini 4 Argon and Claude Opus 5.5 same prompt
Gemini 4 Argon ~ 3m14s, $0.31
Opus 5.5 ~ 15m21s, $2.47
~5x the time, ~8x the cost. Left or right?
Make a single-file three.js scene that auto-plays a 30-second loop of SpongeBob under the sea soaking up water, with real simulated physics. Polished, cinematic Pixar-like look with soft lighting, god rays and bubbles.
We gave Gemini 4 Argon and Claude Opus 5.5 same prompt
Gemini 4 Argon ~ 3m14s, $0.31
Opus 5.5 ~ 15m21s, $2.47
~5x the time, ~8x the cost. Left or right?
With Gemini 4 Argon, your research has new ways to tell its story 📖
We used Nano Banana, Veo, and Argon to turn a dense academic PDF into a full-color, animated storybook in the @GeminiApp.
After half a day of failed attempts and retries with Gemini 4 Argon, finally tested the margarita sloshing effect with:
→ Gemini 4 Argon, $1.64
→ GPT 6 Astra, $4.90
→ GLM 5.3, $0.93
→ DeepSeek Flash, $0.24
They all used Three.js + WebGL.
Gemini has improved so muchhh 🍸
Tested with Offloop.
Gemini 4 Argon is here.
It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search.
Hope you all enjoy it!
@Altimor The design-system detail in the quoted post caught my eye. Reusing the product’s own components seems like a practical way to keep demos visually consistent.
@iamsania_AI I’d keep the source links attached when moving the research into Claude. It makes checking the final draft against the original material much easier.
@liu8in@HyperFrames_ Can you ask for a specific revision like “keep this take, shorten the pause” once the first edit is done? That’s the workflow I’d be curious to see next.
@Finaltoucch Can you review the generated image and request changes from the same Claude session? Keeping that feedback loop in one place would be useful.
@darasoba A recurring task seems like a good place to start. Try it on something you already do every week, where you know what a useful result should look like.
@soumyadesign@claudeai The existing artwork plus a small game design document is a useful starting point. It gives Claude both a visual reference and rules to build around.
@D_studioproject@invideoOfficial Being able to change the timing or swap a visual without starting over is the part that interests me most. So much of editing is those small adjustments.
@OBAxbt The “where to save it and how to evaluate it” part is easy to overlook. It gives the agent a much clearer finish line than just describing the task.
@Altimor On a project this size, where did most of your time go—scoping the work, coordinating agents, or reviewing what they shipped? I’d love to see that breakdown alongside the line count.
Your next customer might already be in your pipeline.
Offloop’s agents review past conversations and spot new signals across the web, so you can follow up as soon as an opportunity opens up.
Try it at offloop.org
59 Followers 175 FollowingAI Lead · Human-like AI research · Future of work
Founder at a stealth AI startup
Run and optimize AI projects with an always-on agent (launch in Q4 2026)
760 Followers 5K FollowingLLM Post-Training/ Recursive Self-Improvement for Reasoning
Co-founder/ MTS @ReasonCoreAI
PhD @UCLA, Bachelors @iitbombay
Led a team of ~500 PhD researchers
3K Followers 361 Following🇺🇸🇩🇪 Claude Code Degenerate. Aerospace, Hardware investor @IndicatorFund. Former Head of Intl and Crypto @robinhoodapp . 出海 investor @plaudAI, @ManusAI
434 Followers 275 FollowingBuilding https://t.co/3oc3DnSzi3 for AI native teams.
Studied at @nyuniversity @SCSatCMU @Harvard. Worked at @Google. Owner of NIO EC6. Fan of @FCBayernEN