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If you're struggling to make progress in your life, read this post.
(financially, business - whatever)
This one habit has changed my life more than anything else, and I haven't seen anyone else talk about it.
This single mindset shift has helped me exponentially compound:
You need to treat your brain like an algorithm.
The more data you feed it, the faster it iterates.
Instead of reflecting every year, why not reflect every quarter? Every month? Every week? Every day?
I reflect every single hour (maybe a bit overkill).
Not in a stressful way, but just quick check-ins to make sure every single
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I think one of the best ways to become AI-native is to build "mini tools" for yourself.
Examples: a meeting note-taker, a custom notes/journaling app, a prompt optimiser skill/dashboard, and so on.
None of these require you to know how to code, but they do require you to learn Claude, iterate, learn context engineering, basics of vibe coding, etc.
The real value isn't the tool itself because, frankly, you can just pay a subscription for some SaaS.
But the actual process of building yourself is hands-down the fastest way to become AI-native.
Beats watching YouTube/consuming content any day.
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The entire timeline is complaining that Sonnet and Opus 5 are dumb.
I don't blame them. Sonnet 5 and Opus 5 are dumb out of the box.
Fix a few things, and they instantly feel 10x smarter.
Thank me later (advice straight from Anthropic:
1. Stop porting over old prompts
Skills and system prompts built for older Claude models can actually make Claude 5 worse, not better.
Anthropic says to start fresh instead of reusing what worked for Sonnet/Opus 4.6 or older.
2. Stop telling Opus 5 to "double-check itself"
It already catches and fixes its own mistakes without being asked. Adding "verify your ans
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No one is actually making money with vibe-coded apps.
Change my mind.👇
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How to deploy your first graph in Claude in <60 seconds (bookmark this):
The problem with loops is that they run one step at a time.
Observe → Act → Verify → Repeat.
This approach works fine until your task has multiple independent pieces, and a loop still does them one after another (not efficient at all and too slow).
Graphs fix that by running things in parallel instead of in a line of tasks.
Here's the exact 4-step process to build one:
Step 1. Audit your current loops
For each workflow you already run, ask:
→ How many steps does this take?
→ Where does it retry most often?
→ How long does
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AI is the greatest money-making opportunity you'll get in your entire lifetime.
Lock in now, and you could completely change your life by 2030.
There are 4 steps to printing money with AI - and if you want to make your first $10k with AI, this is the roadmap to follow:
Step 1: Building Memory & Context
Nothing else matters until AI actually knows about you and your goals.
You NEED to build a local memory folder that holds your business strategy, brand identity, and monetisation plans.
Feed it constantly. Meeting notes, brain dumps, documents, so every new AI session already knows everything.
S
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General consensus is that Opus 5 is the worst Anthropic model release ever.
We went from Fable 5 euphoria to pure despair in a matter of weeks.
No other space like AI.
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The #1 question in my DMs every single day:
"Miles, I see your content, but how do I actually start making money with AI?"
My answer is always the same, and it surprises people every time.
Getting started with making money with AI has nothing to do with tools, niches, or even business ideas.
It's all about memory. Let me explain:
AI is simply a layer you slap on top of your existing data to become more efficient, or in this case, monetise.
If AI doesn't actually know anything about you or your skills, nothing else you try to build on top of it matters.
Imo, building a solid memory system isn't
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If you trade financial markets and are not using AI regularly, you're doing yourself a massive disservice.
I don't say this lightly. I've been investing for 8 years, and AI is the single biggest edge shift I've had in my entire investing career.
Most traders are still doing research the way people did it 10 years ago.
Manually scanning news, manually pulling financial statements, manually backtesting strategies, and so on.
Meanwhile, the people actually using AI properly are backtesting strategies in minutes, getting instant earnings breakdowns filtered through their own thesis, and running re
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AI tip to cut your token costs by literally 80%:
(works in Claude, Codex - literally any harness/model)
Barbell strategy + subagents.
Here's the idea:
Most people run every part of a task through the same model.
Let's say they use Fable 5 for planning, execution, and review. This is probably the most wasteful way to use these frontier models right now.
I've been using a barbell approach that splits the work by intelligence needs.
Heavy on both ends, light in the middle
→ Planning (10%): use your smartest, most expensive model to architect the task, define the spec, and set the success criteria
SOL0.74%
LUNA2.27%
MAX0.20%
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Every ten years or so, there's a massive wealth transfer event.
In 1995, it was the internet. A wave of nobodies got in early on companies most people thought were a fad, and became the first generation of internet millionaires.
In 2008, it was real estate and distressed assets. The people who understood what was happening in the crash got generational entries.
In 2013-2022, it was crypto. $BTC , NFTs, and even memes in 2024.
The next generational opportunity is AI.
The window to become "the AI guy" and print cash is unreal...
Consulting, AI info, agency - I could name dozens of models.
If you'
BTC0.90%
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$BTC total tweet volume just dropped to its lowest since 2020.
This is exactly the kind of silence that precedes generational trades.
BTC0.90%
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RockyDewan:
2026 GOGOGO 👊
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I recently came up with a 6-step framework for designing perfect loops in Claude Code.
If you want to use /loop as efficiently as possible, I highly recommend you follow this loop structure.
This is how you automate anything with loop engineering in Claude:
1. The Trigger
This is what starts the loop without you clicking anything.
This could be a timer ("every morning at 8 am"), or it just fires immediately when you type the command.
2. The Doer
This is Claude actually doing the work.
Reading, writing, researching, coding, whatever the task is.
3. The Checker
Decides whether the work is actual
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GateUser-e3bdec1e:
What is it used for, bro? Sorry, I’m a beginner.
Working on weekends is like a free hit.
Everyone else is fucking around and getting drunk.
It's your chance to get ahead.
AI summer.
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Making money with AI starts by solving a real problem for one specific type of customer.
At the end of the day, nobody cares if you use AI.
Businesses only care if their problem is solved or they're measurably saving time/money.
Learn a foundational skill → Solve real problems with that skill → Add an AI layer on top for efficiency (once you're already good).
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Highly recommend you watch the full episode:
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Outside of our little 𝕏 bubble, the average person has no clue what's happening with AI.
People still think "AI" means ChatGPT.
If you've used an agent, connected an MCP, or better yet, run loops, you're literally in the top 0.1% of AI users.
Unlimited opportunity.
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Most people don't know this, but Anthropic regularly contributes to a GitHub repo of cybersecurity agentic skills.
700+ skills, 25+ security domains, 5+ framework mappings.
I went through the whole thing and built a prompt that secures your codebases.
It gives any AI agent the security skills of a senior analyst:
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Ok, so just to get this straight.
Sam Altman: "We are in the singularity - AI is close to creating a genie that can grant any wish."
Dario: "This is the single most serious security threat we've EVER faced."
Either this is the greatest time in human history, or things are about to go horribly wrong...
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This is the most personal video I've ever put out.
What most people don't tell you about getting rich young..
This is the dark side most influencers will never discuss.
Watch now👇
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