Dustin Hauer

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Dustin Hauer

Helping non-tech people actually use AI | Claude, ChatGPT & AI workflows that save time | 32k+ followers on LinkedIn.

07/22/2026

AI influencer:
"One prompt. Zero effort."

AI user:
"Version_12_FINAL_final_ACTUALfinal.docx"

AI is powerful.

But power users know the truth:

Most of the value comes after the first output.

Better prompts.
More context.
Editing.
Testing.
Iteration.

AI doesn't remove work.
It removes some of the repetitive parts.

The people getting real results aren't avoiding effort.

They're aiming effort at better leverage.

---

I break down AI workflows, tools, and practical use cases in my weekly newsletter.

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07/16/2026

People keep talking about AI replacing jobs.

I'm more interested in what happens when AI replaces reality.

These viral bath bomb ads are a perfect example.

The videos show colorful foam towers erupting from the water, spinning vortexes, hidden toys appearing like magic.

People buy them.

Then they drop the bath bomb into the tub and get... slightly cloudy water.

The crazy part?

Many customers don't immediately assume the ad was fake.

They assume they did something wrong.

"Maybe the water wasn't hot enough."
"Maybe I dropped it incorrectly."
"Maybe I bought the wrong one."

That's a strange side effect of generative AI.

When fake product demonstrations become more convincing than reality, people stop questioning the ad and start questioning themselves.

And that's where things get messy.

A $15 disappointment rarely becomes a lawsuit.

Most people won't fight for a refund.

So a new business model emerges:

• Generate impossible product results with AI
• Run high-converting ads at scale
• Sell low-cost products
• Collect millions before complaints catch up

We spend a lot of time discussing AI, copyright, and deepfakes.

But AI-generated product advertising may become one of the biggest consumer protection challenges of the next few years.

Not because the deception is sophisticated.

Because it's cheap, scalable, and profitable.

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I breakdown these topics, how better to unders AI, and AI workflow, every
week in my free newsletter:
dustinhauer.com

07/14/2026

This image accidentally explains why so much AI content feels generic.

AI can write.

But every platform has its own culture.

LinkedIn rewards expertise.
X rewards opinions.
Instagram rewards presentation.
Reddit rewards substance.

If you give every platform the exact same content, it feels out of place everywhere.

The problem usually isn't the content.
It's that it was built for the wrong audience.

---

I share AI workflows, stories like this and much more in my weekly newsletter:
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07/11/2026

LinkedIn AI:
"Built a company in 3 prompts."

AI reality:
"Why is this CSV suddenly in Spanish?"

The gap is real.

AI can save hours.

But the people using it seriously know something:

The first answer is usually the starting point.
Not the finish line.

So the real workflow looks more like this:

Prompt.
Review.
Fix.
Edit.
Test.
Repeat.

Less magic.
More iteration.

That's not AI failing.

That's what productive AI use actually looks like.

I break down AI workflows, tools, and practical use cases in my weekly newsletter.

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07/03/2026

Claude felt random to me.

Until I noticed this.

It wasn’t the prompts.

It was how I controlled the conversation.

Here are 18 commands that let you steer Claude mid-response:

——

"Forget everything above. Fresh start."
When a thread goes sideways and context is working against you.

"Summarize what we've covered, then keep going."
Compresses a long session without losing the thread.

"Bullet points only from here."
Changes the output format for the rest of the conversation.

"Use Opus for this one."
Escalates model intelligence for a harder task without starting over.

"Keep this short. I'll ask for more if I need it."
Kills the 800-word answer to a simple question.

"Before you respond — what are you assuming?"
Surfaces the hidden logic before you act on a wrong answer.

"Think out loud before giving me the final answer."
Forces visible reasoning on anything high-stakes.

"Give me three versions. Different angles."
Breaks the habit of accepting the first output.

"Now critique what you just wrote."
Makes Claude self-audit so you don't have to.

"Pick up where you left off."
Resumes a cut-off response without re-prompting from scratch.

"For this whole conversation, you are [role]."
Sets a persistent persona once instead of repeating it every prompt.

"Remember this the entire session: [detail]."
Pins a constraint without burying it in every message.

"Rewrite the last response but [one change]."
Iterates without starting over.

"What's missing from my prompt?"
Lets Claude tell you why your question isn't landing.

"Give me the uncomfortable version of this answer."
Bypasses the default diplomatic output.

"What would you need to give me a better answer?"
Turns Claude into a collaborator instead of a vending machine.

"Flag every assumption you made."
Builds a habit of auditing before you execute.

"Now make it half as long."
The most underused edit command in any AI workflow.

——

These work in claude.ai chat (no terminal, no setup, no code).

Just type them at the top of your next prompt.

♻️ Share this with the person who keeps getting average answers.

07/02/2026

LinkedIn is the #2 most-cited site by AI.
Not Google.
Not Forbes.
Not even YouTube.

LinkedIn.

AI models are increasingly pulling from public content to answer questions, summarize ideas, and shape recommendations.

Which means your posts are doing more than reaching followers.

They're becoming training data.
Reference material.
Digital reputation at scale.

And look at the pattern:

1. Reddit
2. LinkedIn
3. Wikipedia
4. YouTube

The common thread?

Human knowledge.

Conversations.
Experience.
Opinions.
Context.

AI doesn't just learn from websites.

It learns from people.

If you're building expertise online, this matters.

The question isn't just:
"Will people see this?"

It's becoming:
"Will AI see this too?"

Source: Semrush

---

I break down AI topics like this every week in my newsletter:
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06/30/2026

Week 1 with AI: "This replaces my entire team."

Week 12: "Why did it break again?"

The hype wears off fast.

What's left is the actual work:

checking sources,
fixing prompts,
editing outputs,
iterating until it's right.

That's not a failure of AI.

That's what using it seriously looks like.

The people getting real results aren't the ones who thought it would do everything for them.

They're the ones who stayed when it didn't.

---

I breakdown course lists, ai workflows and new tools in my weekly newsletter.
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06/28/2026

Everyone says "just be authentic on LinkedIn."

They're wrong about what that means.

Authentic doesn't mean raw.

It means honest about the gap between
what happened and how you described it.

You didn't trust your instincts.
You made it up as you went and it worked.

That distinction matters more than you think.

"Trusted my instincts" is a conclusion.
"Made it up as I went" is a story.

Stories build audiences.
Conclusions get scrolled past.

The most followed people on LinkedIn aren't the most polished.

They're the most willing to say the quiet part out loud.

Your mess is your message.
Package it that way.

♻️ Share this to help others tell the real story
➕ Follow Dustin for positioning people actually understand

06/27/2026

2025 was AI helping you work faster.

2026 is AI replacing entire chunks of the workflow.

That’s the shift most people still haven’t fully processed.

Last year looked like:
• Googling
• Typing everything manually
• Editing for hours
• Building slides from scratch
• Recording notes you’d never revisit

Now?

AI writes.
AI researches.
AI organizes.
AI edits.
AI remembers.
AI turns conversations into systems.

The biggest change isn’t “better prompts.”

It’s leverage.

A single person can now:
• run content like a media team
• process information like an analyst
• build presentations in minutes
• turn meetings into action automatically
• create at a speed that used to require departments

And the tools are getting more specialized.

Not just “one AI assistant.”
An entire stack.

for thinking.
for meetings.
NotebookLM for research.
for decks.
for distribution.
for speed.
Nano banana for visuals.

The people winning right now aren’t necessarily the smartest.

They’re the ones rebuilding their workflows first.

Most people are still using AI like autocomplete.

The real advantage starts when AI becomes infrastructure.

---

♻️Share this with someone still stuck in the “AI is just ” phase.
➕Follow for AI that actually moves work forward.

06/26/2026

NVIDIA has a free AI course that takes 6 hours.

Here's the 2-minute version.

The course is called Fundamentals of Deep Learning.

And the core idea is simpler than most people think.

Deep learning is not AI in the chatbot sense.

It's the layer underneath.

The part that helps computers:

• recognize speech
• detect objects in images
• read medical scans
• power recommendation systems
• make predictions from huge datasets

Here's the training loop:

A model sees data.

It makes a prediction.

It's wrong.

It measures the error.

Adjusts.

Tries again.

Then repeats that process millions of times until the pattern becomes reliable.

That's deep learning.

The NVIDIA course teaches three core ideas:

→ How neural networks learn through layers
→ How models are trained and improved
→ How transfer learning works

That last one matters more than people realize.

Because most real-world AI is not built from scratch.

Teams take models that already understand something and adapt them to solve new problems.

Less time. Less data. Faster results.

You don't need a PhD to understand this.

Just 6 hours.

Or apparently... 2 minutes and this post.

Course link:
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-FX-01+V3

---

I break down one AI workflow every week in my newsletter:
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