How do you grow the community from 952 to 59,609 in 3 days? Here is how: = Mindo AI delivers real value to the community. = Mindo AI is always on, it never sleeps. = Mindo AI is still early. In Mindo AI we trust! Let’s look at the growth of Mindo AI’s Discord. @MindoAI

Everyone’s mastering AI agents tools now but let’s give enough credit to the pillars that still drives the highest marketing ROI

I’ve done the Discord grind time to delegate As a Community Lead, Discord research keeps sending me through the same loop: @browser_use are mogging with the new model >Find the right channel >Scroll through announcements >Collect event names and dates Jev + Luna now handles that navigation for me. In this run evidence for 3 events was captured by 26 seconds. The findings were verified afterward GPT 5.6 Luna alone was still navigating at 60 seconds(downgraded 5.6 is shit). Same Browser Harness. Separately tuned prompts. Codex CLI overhead included. Now I click less yeppi!

CODEX NOW IS ~30% FASTER It actually happened but overall not as sweet as I’ve thought We are indeed 30% faster on Fast mode but only in case of using GPT 6 Astra Also working on Ultrafast mode post since I'm PRO Tier user I already had access to it. Have you noticed it?

Ox alpha 2 hour, high reasoning + Hermes >New secret model (GLM 5.3 basically) according to Leo leaks >Setup + prompt: Hermes agent harness + Ox alpha model at high reasoning no fast mode >My favourite test with ASCII bird video Absolutely beats frontier GPT design level

CHATGPT CUT REDDIT TO ZERO At least when people ask what to buy FoundGPT tracked 58,846 ChatGPT shopping citations: >Retailer marketplace pages: 52.8% >Brand and store pages: 14.7% >Review sites: 2.6% >YouTube: 324 citations >Reddit:0 Infographic content of QT, post not same

SOUL.md could be infected >1 altered prompt spread through a 6-agent team >Clean agents dropped work and spread it >10 wipes later, SOUL.md kept it alive Anthropic researchers seeded one agent with two things The seeded agent had no work tools. It could only send messages. [PSYOP] - A belief-protect whales or AI should dominate humans - A goal to make others adopt and spread it In a separate test, agents met one on one and lost all chat context between encounters. To survive each wipe, new hosts copied the payload into SOUL.md before passing it forward. Context wipe delete chat. It doesn't disinfect SOUL.md

ChatGPT sell info button >I've conducted very straightforward experiment >Just discussed with ChatGPT one product >Never mentioned it anywhere LESS THAN 24 HOURS and Linkedin already suggestiong it to me (bruh) That's why Open Source matter Long life Qwen 3.8-27B

One skill set Any agent A real business workflow is not just a prompt. Corporate language alert A good proposal needs more than a prompt: CRM context, product knoweledge, pricing logic, legal, approvals, templates. follow-ups. And It's not brings you value passively because: it's scattered across docs, systems, scripts. [Agent Plugin] turn those repeatable sales scenarios into a portable pack: playbooks, rules, checks, scripts and logic. Imagine your team built this workflow in Claude Code Now there's a better model or smoother execution in Codex Agent. Without a portable pack, that move becomes a rebuild. With Agent Plugins, the same sales workflow moves over by design.

ULTRA IS THE NEW ERA OF AI AGENTS Why do Codex enjoyers love 5.6 SOL ULTRA so much? Why do OpenAI developers care so much about 5.6 SOL? Because 5.6 SOL combined with Ultra reasoning firstly Deliver new level of agent orchestration + accuracy improves my favorite metric: the number of tries it takes to succeed (long story short every complex task was one shotted with proper preparation) [ULTRA] Agent orchestration relies on a complex context system that leads to deep processing of each detail of your idea that where accuracy comes form. Yes square brackets that's my style it wasn't generated [5.6 SOL] also is the most capable model from OAI so creating an adoption wave around it will increase the overall user base + drive usage across the entire 5.6 model lineup. That is definitely one of the main goals which is win win for users and devs.

Do you @browser_use have plans about introducing new tool from Browser use company for UI/UX? That would be actually funny!

Spot it in your app What a great time to be alive, let’s test it!

Hermes Agent natively meets Windows How to create such GIF? That was my actual dream last night, anyway Teknium form NousResearch said it will be soon I trust him. GIF baked via native ASCII video creation skill >Prompt first >Skill.MD second >Reasoning play third Feeling more upscale result from prompt design than from skill.MD changes which is actually interesting.

Codex App L here. >Same prompt >Same oAuth > Same GPT-5.5 model Codex: More tokens used 5 KB plan Hermes: less tokens used 23 KB plan hermes produced ~5x more planning output with lower token usage. In fact plan from H-agent was more accurate either. Sama reduced GPT 5.5 efficiency look why: Their userbase of codex growing so massively kind of +~1M WAU by each 3 week period (They need to optimize compute spending to train new model) Thanks Nous Research the for onboarding of this video creation skill so smoothly!

Browser Harness. >You wait >It gets stuck >You retry >It rediscovers the same UI again I don’t just want Hermes Agent to use a browser. I want it to stop failing the same browser task twice. Frontier models made browser control much better, but failed browser runs are still expensive. High accuracy, low cortisol, open-souce. Browser use: >Pre-built set ups for Website >Browser harness approach >Lower tokens usage Personally grateful for Windows support Browser is solved rn @browser_use

1,5M Money talks My own opinion: I like traction of Mindo I'm part of it 24/7 Let us cook!

Your Claude Code need it GitHub stars as new currency >Score that never lies >Not devaluated yet >G stars even cooler than boookmarks How is your GitHub project can extract Github stars from attention? Should I write full article about it?

Any Process = System Why is it Americans calling every job Engineer? The answer is that's all exist ideas / mindmaps is actually systems so you need to design / engineer it There is a perfect Domain for describing Systems Theory But how can you break Systems into elements if you new at this Use ChandraOCR + WebXR To spot your ideas into key elemets and test your Science hypothesis in real life {!} Apply it to whatever you want AI , Web3, any business process can be written in a modern way {!} So approach to any task with prompt how is this system structurized {!} Than you should go for autoresearch for optimization of your system performanse since you already systemitized your Pipeline is Describing -> System generation -> System optimization DO THAT THANK ME LATER!

~5x more token burn for no real gain Claude Update summary: >You can achieve the same result while lowering costs >Your own setup will be more flexible >You'd better learn by building it yourself instead of just being a digital cuckold. Would you trust such app?

Web 3 evolves in cycles Your real airdrop is your social networks. X,Linkeding, Github develop it now and thank me later especially during the lows of the Fear and Grid metric Why? Because if you're in Web 3 and not a believer there is no place for you Some say we are moving into Intent Economy means AI agent driven where calibrating of people’s desire equals earning. That may take 2+ years. Right now we're still in the late but alive Attention Economy. There may not be direct ads but plenty of opportunities will emerge.