MAIL retweeted
OCTOBER RECAP:
my first month running a solo agency.
got no team, just me and a network of top AI creators.
here's what i got done:
> pioneered 2 major AI model launches
> paid out $60,600 to 400+ creators
> made $4,300 from paid partnership posts
> hit 28k followers
crazy to think this was just an idea a month ago.
now brands book campaigns with me directly, and i handle everything from sourcing the creators to getting the campaigns delivered.
Just getting started.
MAIL retweeted
THIS IS F**KING INSANE!!
Most people use Grok bot like a search box. It can do a lot more than that.
The usual routine: open it, ask a question, read the answer, close the tab. That's chatbot behavior, and it's why most users only see a fraction of what it offers.
Grok bot is meant to act, not just answer. It can move through your browser, work with your tools, and carry out tasks while you focus on something else.
Most people never see that side because they skip the setup.
Configured properly from the start, it behaves very differently.
A new beginner guide covers exactly that: the right setup first, then what it can do once it's running the way it should.
New to Grok bot? Start there.
MAIL retweeted
20 days running a solo agency:
> $35K+ paid out to 200+ creators
> 25M+ impressions on client campaigns
> ran one of the biggest AI launches of the year
my creators ran it up. every client happy.
I think i’ve been hiding the most valuable part of what i do on X.
everyone sees just the posts.
almost nobody sees the distribution machine i’ve been building behind them.
over the last 3 months, i locked in harder than ever.
and the numbers got crazy:
→ 31.1M impressions
→ 364K engagements
→ 173.4K bookmarks
→ 114.4K likes
→ 32.3K shares
→ 20.5K profile visits
→ 18.3K active followers
and this isn't just random reach.
i've also worked as an official creator partner with major AI brands like Kimi / Moonshot AI and Higgsfield, creating content and campaigns around their products.
but that's only the public side.
behind the scenes, i've been building something else.
i've been helping AI brands and projects turn products into content, coordinate creators and actually get distribution on X.
in just the last 2 weeks, i've:
→ worked with 30+ creators
→ paid out $4K+ to creators
→ generated 200K+ organic impressions for clients
→ managed multiple campaigns simultaneously
→ created videos and content for brands
→ handled campaigns from planning to execution
and the clients are happy with the results.
the interesting part?
i'm doing all of this as a solo creator.
i don't have a massive agency behind me.
it's basically me, my audience, my network of creators and everything i've learned from spending the last year obsessing over content and distribution.
and i think that's the part people don't see when they look at my account.
i'm not just posting about AI tools.
i've learned how to package them, create demand around them and get them in front of people.
a founder can build an incredible product.
but if nobody sees it, nobody talks about it.
that's where i want to come in.
i can help with:
→ AI product content
→ creator campaigns
→ UGC/video campaigns
→ X distribution
→ campaign strategy
→ creator coordination
→ launch campaigns
→ turning technical products into content normal people understand
and i've already been doing this at a smaller scale with brands and projects behind the scenes.
on top of that, i've generated 31M+ impressions on my own account and made $10K+ from X monetization and $6k from paid collabs over the last 3 months.
so i'm at a point where i don't just want to build my own audience.
i want to help other products build theirs.
if you're an AI founder, startup, AI agent, SaaS, developer tool, Web3/AI project or brand looking for someone who understands both content and distribution on X...
my DMs are open.
i'm still a solo creator.
but honestly, that might be the advantage.
because when you work with me, you're not passing your campaign through five different departments.
you're working directly with the person creating the content, running the campaign and obsessing over the result.
MAIL retweeted
I just built a collection of 163 insane motion graphics, and every graphic has the exact prompt that was used to create it right beside it.
the gallery includes work made with Opus 5.5, GPT-6 Astra, Kimi K3 and Fable 5, with every creator credited.
it’s free and i will be adding more
go try it out:
motionpromptgallery.com
MAIL retweeted
Just open sourced MotionPromptGallery
178 AI motion graphics, each with the exact prompt behind it. made with Opus 5.5, GPT-6 Astra, Kimi K3, Fable 5.
built with Next.js, fully static, deploys to Vercel in seconds.
go ship with it, and add your own piece.
github.com/mikenevermiss/mot…
live site: motionpromptgallery.com
I just built a collection of 163 insane motion graphics, and every graphic has the exact prompt that was used to create it right beside it.
the gallery includes work made with Opus 5.5, GPT-6 Astra, Kimi K3 and Fable 5, with every creator credited.
it’s free and i will be adding more
go try it out:
motionpromptgallery.com
MAIL retweeted
human interaction models are the next interface shift.
for 40 years we've been learning to speak computer. typing, clicking, prompting.
griffin flips it: the machine learns to read faces, tone, hesitation. the stuff that carries most of the meaning.
it's an early bet that computers should read faces and tone like people do, not the other way around. tutors, health guidance, language coaching all get better when the machine can actually see you.
glad tavus is leading with disclosure and safeguards.
Yesterday we previewed Griffin, a Human Interaction Model capable of seeing, hearing, sounding, and looking like a human does. There have been a lot of questions, so I wanted to take a moment to share our thoughts.
By way of introduction: Tavus is a research lab focused on enabling machines to meet us where we are, and to understand the nuances of how we communicate beyond words.
Griffin, our latest model, isn’t publicly available yet. Yesterday’s announcement was a limited research preview to demonstrate what the model is capable of. With AI progressing so quickly, we prefer to share breakthroughs openly and in real-time as we work on a safe public release.
Face-to-face is how we evolutionarily communicate, it carries the most meaning and intent, and we want computers to be able to help with work that benefits from that emotional understanding, expression, and immersion. Some examples of the kinds of use cases we care deeply about:
- A tutor that can build understanding of how a student learns, see exactly when there is confusion or disengagement, and adapt the lesson to fit them.
- A health expert that can answer any questions about your upcoming appointment or prescription, at the pace you want, at any time you need, even on a weekend.
- A language coach that you can practice speaking with, that can correct your movement and pronunciation, and help build confidence to have real conversations
- Or the perfect assistant for everyone, that understands intent, knows how you work and remembers what matters.
We’re working with partners on safeguards and systems for disclosure, as well as inviting discussions with officials around wider regulation and safe use. People will always know they’re interacting with AI, while providing an interface that removes the need to ‘speak computer’.
We believe in a future where computers understand us well enough to make technology more accessible, more useful, and make us more capable as humans. That is the world we want to build, and we understand the responsibility to do so safely.
MAIL retweeted
Yesterday we previewed Griffin, a Human Interaction Model capable of seeing, hearing, sounding, and looking like a human does. There have been a lot of questions, so I wanted to take a moment to share our thoughts.
By way of introduction: Tavus is a research lab focused on enabling machines to meet us where we are, and to understand the nuances of how we communicate beyond words.
Griffin, our latest model, isn’t publicly available yet. Yesterday’s announcement was a limited research preview to demonstrate what the model is capable of. With AI progressing so quickly, we prefer to share breakthroughs openly and in real-time as we work on a safe public release.
Face-to-face is how we evolutionarily communicate, it carries the most meaning and intent, and we want computers to be able to help with work that benefits from that emotional understanding, expression, and immersion. Some examples of the kinds of use cases we care deeply about:
- A tutor that can build understanding of how a student learns, see exactly when there is confusion or disengagement, and adapt the lesson to fit them.
- A health expert that can answer any questions about your upcoming appointment or prescription, at the pace you want, at any time you need, even on a weekend.
- A language coach that you can practice speaking with, that can correct your movement and pronunciation, and help build confidence to have real conversations
- Or the perfect assistant for everyone, that understands intent, knows how you work and remembers what matters.
We’re working with partners on safeguards and systems for disclosure, as well as inviting discussions with officials around wider regulation and safe use. People will always know they’re interacting with AI, while providing an interface that removes the need to ‘speak computer’.
We believe in a future where computers understand us well enough to make technology more accessible, more useful, and make us more capable as humans. That is the world we want to build, and we understand the responsibility to do so safely.
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
MAIL retweeted
i just tried Tavus’ Griffin, and honestly, this is one of the most interesting AI demos i’ve seen lately.
it’s a real-time video model you can actually talk to face-to-face.
it sees you, hears you, responds instantly, and you can interrupt it mid-sentence without the whole interaction falling apart.
in this video, you can see Griffin interact with a Rubik’s Cube in real time, reason through what it was seeing, and actually solve the problem.
what surprised me most was how natural the conversation felt.
there were moments where i stopped thinking about the fact that i was talking to an AI
you definitely need to try this one
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
MAIL retweeted
I think i’ve been hiding the most valuable part of what i do on X.
everyone sees just the posts.
almost nobody sees the distribution machine i’ve been building behind them.
over the last 3 months, i locked in harder than ever.
and the numbers got crazy:
→ 31.1M impressions
→ 364K engagements
→ 173.4K bookmarks
→ 114.4K likes
→ 32.3K shares
→ 20.5K profile visits
→ 18.3K active followers
and this isn't just random reach.
i've also worked as an official creator partner with major AI brands like Kimi / Moonshot AI and Higgsfield, creating content and campaigns around their products.
but that's only the public side.
behind the scenes, i've been building something else.
i've been helping AI brands and projects turn products into content, coordinate creators and actually get distribution on X.
in just the last 2 weeks, i've:
→ worked with 30+ creators
→ paid out $4K+ to creators
→ generated 200K+ organic impressions for clients
→ managed multiple campaigns simultaneously
→ created videos and content for brands
→ handled campaigns from planning to execution
and the clients are happy with the results.
the interesting part?
i'm doing all of this as a solo creator.
i don't have a massive agency behind me.
it's basically me, my audience, my network of creators and everything i've learned from spending the last year obsessing over content and distribution.
and i think that's the part people don't see when they look at my account.
i'm not just posting about AI tools.
i've learned how to package them, create demand around them and get them in front of people.
a founder can build an incredible product.
but if nobody sees it, nobody talks about it.
that's where i want to come in.
i can help with:
→ AI product content
→ creator campaigns
→ UGC/video campaigns
→ X distribution
→ campaign strategy
→ creator coordination
→ launch campaigns
→ turning technical products into content normal people understand
and i've already been doing this at a smaller scale with brands and projects behind the scenes.
on top of that, i've generated 31M+ impressions on my own account and made $10K+ from X monetization and $6k from paid collabs over the last 3 months.
so i'm at a point where i don't just want to build my own audience.
i want to help other products build theirs.
if you're an AI founder, startup, AI agent, SaaS, developer tool, Web3/AI project or brand looking for someone who understands both content and distribution on X...
my DMs are open.
i'm still a solo creator.
but honestly, that might be the advantage.
because when you work with me, you're not passing your campaign through five different departments.
you're working directly with the person creating the content, running the campaign and obsessing over the result.
MAIL retweeted
for years, "AI passing the Turing test" meant fooling you in a chat window.
Phoenix-4.5 changes the test entirely, real-time facial animation, natural micro-expressions, movement through the upper body.
this isn't text pretending to be human anymore.
it's a face, live, doing it.
Introducing Phoenix-4.5, the fastest and most expressive real-time human rendering model on the market.
More natural than ever before: richer facial animation, more expressive emotion and micro-movements, and movement that now extends through the upper body.
It is the closest AI has ever come to passing the Turing test face to face.
Introducing Phoenix-4.5, the fastest and most expressive real-time human rendering model on the market.
More natural than ever before: richer facial animation, more expressive emotion and micro-movements, and movement that now extends through the upper body.
It is the closest AI has ever come to passing the Turing test face to face.























