Matt Palmer (Grok Bot team) reveals how to use Grok Bot for live phone calls (new feature).
I actually think there's a $300/hour business idea here:
Setting up Bot call agents for local businesses.
> You conduct an initial audit ($997 upfront)
> Launch specialized call Bots
> Inject them with Skills/Routines/Routines tailored to the business
Think about it: many business owners waste a ridiculous amount of time on the phone with manufacturers, basic client FAQs, suppliers, etc.
You come in and automate as much of that process as possible.
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The ultimate Claude prompting template (feed to your agents).
Steal this, and you'll never get a bad output from Opus/Fable ever again.
By Anthropic:
Every tech business in the world is looking for creative/content talent.
Yet, nobody can hire them.
As someone with a 50+ person media business, THIS is how you hire your creative talent:
1. Hire from 𝕏
The best creatives are already posting. Look for people who consistently put out great work in your niche, and reach out to them directly (ideally 3-15k followers).
The talent density on 𝕏 is insane. Grok Bot can even help you here.
You can run the same outreach strategy on small Instagrammers, LinkedIn writers, etc.
2. Judge creativity and taste (not resumes)
I've never hired from a top school. In fact, I don't even ask for resumes.
Creatives' online presence should be their resume.
Hunt for: work ethic, attention to detail, video/written presentation skills over fancy fluff metrics.
3. Run a paid trial
Always run a 1-2 week paid trial before fully committing.
4. Invest in their development
Pay agencies to train them, work closely with your creatives to build taste, etc.
It's totally unrealistic to expect someone to come in and know everything. Even if they've had a content/creative job before, the likelihood that the responsibilities are the same as yours is very low.
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Most Claude users just missed this.
Anthropic published its fully updated Fable prompting masterclass.
Cheaper outputs, agent orchestration & more.
For FREE.
Google is slowly clawing its way back into the AI race.
In the past 30 days alone:
• Gemini Robotics 2.5 (robots up to 2x more successful at real-world tasks)
• Gemini 4 Carbon (now ranked #
1# on the Artificial Analysis Intelligence Index)
• Genie 4 (interactive AI-generated worlds)
• Gemini Omni 1.2 Flash (15-second video gen)
• Antigravity 2.30 (voice mode + remote agents)
• Gemini 4 Argon + Carbon
Generational run.
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Gemini 4 Carbon is now available.
It’s our strongest model, built to dig deeper, handle long-horizon tasks, and multi-step reasoning.
If Argon is great for complex tasks, Carbon is the model you bring in for your hardest problems.
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The 5 levels of making f*ck you money with AI (explained):
Level 1: Selling your time
(doesn't just apply to AI - this is the most beginner-friendly biz model)
If I had to make my first $10,000 with AI in 60 days:
→ Go all in on one AI tool (like Grok Bot)
→ Find businesses that can leverage the tooling
→ Sell them custom setups and implementation
You don't need to be an expert. You just need to be slightly ahead of your client.
Ceiling: You're capped by your own calendar/time.
Level 2: Leverage other people's time
Even with AI, you're still the bottleneck. At ~$20k/mo, you should look at bringing in your first hire.
→ A good VA can cost ~$1K/mo and run 10-20 agents
→ Hire for your weak spots (sales, admin, fulfillment)
→ Follow the 10/80/10 rule: 10% human planning, 80% AI execution, 10% human review
Ceiling: You're still selling services (good to get to $50-100k/mo but hard to scale past that).
Level 3: Sell products
Where real wealth is built.
→ Info products
→ Digital tools
→ Plug-and-play templates
Level 4: Own distribution
This is THE moat (and my biggest focus right now).
→ Document what you've already done on social platforms (case studies, live breakdowns, etc.)
→ Start on 𝕏 (learn to write)
→ Eventually, go omnichannel with YouTube, newsletters, etc.
Own the distribution, and you'll never struggle to sell anything.
Level 5: Convert cash flow → ownership
This is how you get to nine figures and beyond.
→ Have a leverage-first mindset. Every dollar should buy a bigger advantage
→ Reinvest aggressively into talent, AI, distribution, and early-stage companies
→ If you're even half good at business, your business has better EV than the stock market
All of the biggest companies and funds in the world do the same thing: they turn distribution into ownership.
The exact roadmap I'm personally using to hit $100M+
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how to make f*ck you money with AI in 2027 (5 levels):
I tested the new Claude Fable 5.2 on 5 Real Use Cases. It's actually insane!
0:00 Intro
1:07 Benchmarks
3:24 Speed & pricing
5:19 Use Case 1: Model orchestration
8:05 Use Case 2: Extended sessions & work
9:30 Use Case 3: Reading & processing long documentation
10:14 Use Case 4: Insane game design!
11:19 Use Case 5: Controlling robots?!
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I'm launching a YouTube channel on making money with GTA 6 + AI.
I’m looking for a YouTube creator host to own it. Very exciting opportunity.
If you already make GTA content, you’re comfortable on camera, and you want a fully produced channel behind you (scripts, editing, thumbnails, growth), reply with your page or DM me.
MUST be 18+.
Know someone perfect for it? Tag them below.👇
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The most straightforward way to get very rich in 2026 and beyond (from a literal $0 net worth):
• Work for free to learn high-value skills (AI, writing, sales)
• Eventually get paid handsomely for those skills once you're good ($7k-15k/mo range)
• Live below your means
• Use your stockpiled cash to launch your own thing based on your skills
• Build products you can sell over and over without more work
• Build your own audience so customers come to you
• Reinvest most of your profits back into growth
• Use the cash to buy ownership in other people's assets and businesses
Game completed.
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I'm hiring an AI trading content intern.
You must understand markets AND AI. The initial goal of this role is to help my team of analysts with scripting, 𝕏 ideas, and market x AI content in general.
Willing to train, but you absolutely must be hungry, dependable, coachable, and understand both financial markets and the AI space.
Full description + apply here 👉
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This might be the most important tweet you read all year.
Especially if you want to make more $$$ online and improve your job opportunities.
BUILD. YOUR. X. PRESENCE.
X is the best resume you could possibly have for the online world.
It's 10 times more important than LinkedIn (it's full of slop and it's so performative). X is where the true smart money and founders live. Literally every smart CEO I know pays attention to X. The same can't be said for any other platform.
I hire people all the time because their profile demonstrates the exact skill set I'm hiring for. It's literally happened 4-5 times (and again today lol).
Make this your #
1# priority if you're looking for a new opportunity.
Even if you're in a role you currently like, you never know what's out there.
Document your experience/learnings daily and use it as a public resume. There is 0 downsides
Don't worry about selling anything. Just post quality content and build up a well curated feed of knowledge/learnings/expertise.
You might randomly get poached, build leverage with your existing employer, or increase your job opps in the event you're let go.
Will be posting more content on how I grew a 700k+ following on X (resulting 8-figs in income/enterprise value).
Follow to stay tuned.. Putting a lot of effort into this.
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Some of my top AI business models heading into 2027:
AI concierge: The AI consulting playbook. Master one AI tool, then sell setups to local businesses that don't have time to do it themselves.
Lead gen for agencies: Use AI to find warm leads, then sell them to agencies on a monthly retainer (tools like Grok Bot for scanning dedicated platforms like 𝕏).
Digital products: Info products and niche tools, built once and sold at scale.
Growth operator: Run 𝕏 accounts (or other socials) for busy founders and brands, powered by a team of well-curated AI agents.
Content creation/distribution (the ultimate moat): Document what you learn on 𝕏 and YT. Your own distribution brings warm traffic to every offer above.
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how to make f*ck you money with AI in 2027 (5 levels):
I'm hiring an AI trading content intern.
You must understand markets AND AI. The initial goal of this role is to help my team of analysts with scripting, 𝕏 ideas, and market x AI content in general.
Willing to train, but you absolutely must be hungry, dependable, coachable, and understand both financial markets and the AI space.
Full description + apply here 👉
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I tested the #
1# viral AI trading GitHub repo (turns Claude into a hedge fund):
How Elon Musk and the SpaceXSI team use Grok Bot (compilation of ALL best practices):
1. Connect
@bot to your 𝕏 DMs
Elon's own words: "Best way to use it."
2. Tag
@bot on any post
Tag
@bot in a reply to move the task into your private Bot chat.
3. Run bots as a swarm
Give each bot one role, load it with files and skills. Prompt: "Now split off and work as a team for [task]."
4. How the Cursor team runs Bot internally (sample team)
→ A sales bot posts nightly briefings
→ An engineering bot triages bugs and files tickets
→ A marketing bot checks drafts against brand voice
→ A data bot answers questions with read-only access
5. Turn tasks into skills
Once a task works, save it as a skill. Then schedule it as a routine so it runs on its own.
6. Teach it by showing
Use "Teach a task" to demo a browser workflow.
7. Keep approvals on
The team recommends keeping approvals on for sensitive info.
Bookmark these tips so you don't forget them.
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My realistic Grok Bot $10k/mo startup ideas tier list:
(so many valid options)
My personal favorite top 10 Grok Bots (instant productivity unlocked):
A few weeks ago, I outlined one of the biggest opportunities in all of crypto:
Infrastructure for AI agents.
Verticals like agentic payments, identity, and trust on blockchain rails.
Of all the gaps in agent infrastructure, trust is one of the biggest.
We're headed toward a world of abundant agent commerce, and those agents need trust to transact at scale.
I sat down with the team at Token2049 to break down this market gap and how
@genlayer is solving it:
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This is by far the biggest opportunity in crypto over the next decade.
AI agents are on track to move ~$3.5T in transactions by 2031.
One of the crypto narratives I'm most bullish on is infrastructure for agents.
This can be broken down into multiple categories:
- Payments: stablecoin rails agents can actually spend on
- Identity: proving who an agent is and who it acts for
- Trust: settling disputes when agent deals go wrong
Been diving deeper into niche solutions lately.
I think
@genlayer, for example, is very interesting.
They're focused on the trust layer: a court system for AI agents.
Gonna keep my eye on them, one of the most interesting trust layer solutions for agents in the space right now:
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btw, my team and I are sharing a lot more crypto/finance alpha on
@mileshighclub_.
We've turned the account into your personal research hub.
$BTC thesis', altcoin breakdowns, AI trades & more:
Spot $BTC ETFs just had their worst day since June (here's our thesis):
-$635.6M yesterday, $254M of it from BlackRock's IBIT.
We went back through every big IBIT outflow since launch. When IBIT loses more than $300M in a day, $BTC has averaged -8.2% over the next 30 days. On a normal day, it's +3.0%.
But the last cluster of big outflows landed right at the $58k bottom in late June. Heavy selling has meant more downside, and it has also meant capitulation.
The backdrop isn't helping. The White House says no Iran strikes before the midterms, with reports of strikes being planned for right after the vote. China's CSI 300 just entered its first bear market since 2020. The Nasdaq fell 2.6% yesterday, Tesla cut its 2026 capex plan to about $20B, and attackers are hitting everything from web servers to hardware wallets.
$BTC is at $81.7k, right on the average ETF buyer's cost basis. If the outflows stack up from here, history says the next month gets rough. If yesterday was a one-off, this is where buyers have stepped in twice already this month.
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