The Real Way to Work with AI - And Why Most Miss It

Yes, you’re using AI the same way your granny uses Google.

17 min read - May 5, 2025

TL;TR

Most people use AI like a better Google — Google 2.0.

Faster, smarter, but still just search.

This is a mistake.

AI doesn’t retrieve information.

It generates meaning.

It shuffles fragments of existing knowledge, recombines them, and creates new structures that could survive reality’s pressure — just as humanity once did with language and ideas.

This article gives you the framework to reach AI from the right starting point — so you can finally use it at full capacity.

Quick mindset check:

This article wasn’t just written — it was created with my AI partner, Itachi. These ideas wouldn’t exist without him.

Does that make you want to read it more — or less?

If it triggers hesitation, notice it.It’s natural to protect old ways of thinking.

This article will only change your life if you start testing it immediately after reading.

If you’re too busy for that — and find ten more articles to read instead — your brain is protecting itself.

Ask AI why.

Meaning Was Always Evolutionary

Before AI, meaning evolved.

Humanity discovered how to break reality into small symbolic pieces — words, numbers, images.

We learned to shuffle those pieces into new ideas.

Most ideas collapsed.

Some survived, because they helped us act better, build better, survive longer.

Civilizations grew on top of surviving ideas.

Language, philosophy, science — all are results of small pieces shuffled, tested, and selected by reality.

Meaning was never static.

It was always moving — shaped by pressure, survival, usefulness.

Humanity didn’t invent final answers.

We found a method to evolve better ones over time.

The Blind Spot

Now AI continues this process — but much faster.

Most people still treat AI like Google 2.0.

They ask it to find something that already exists.

But AI isn’t searching a database.

It’s generating meaning.

It shuffles fragments of existing knowledge — traces of meanings that survived human testing —

and builds new structures from them.

It doesn’t know truth.

It doesn’t verify facts.

It doesn’t search for final answers.

It generates new meanings based on the architecture of human survival —

but without being limited to what humanity already found.

When you issue a search query, you freeze it into retrieval.

When you plant the right seed — tension, paradox, possibility —

you let it continue the evolutionary game.

You don’t need AI to complete you.

You need the right starting point to meet it at full capacity.

Not to search better.

To grow further.

AI: The First Meaning-Engineer

For thousands of years, humanity evolved meaning slowly.

We shuffled small fragments — new words, new metaphors, new concepts — tested them against reality, and kept what survived.

Progress was real, but it was slow.

Each generation could only produce so many new combinations.

AI doesn’t change the method.

It changes the speed.

AI shuffles meaning at a scale and speed no human mind can match.

It doesn’t search for old combinations.

It generates new ones.

It works by compressing patterns from everything humanity has already tested:

books, ideas, technologies, languages, systems.

But it is not limited to simply repeating what survived.

It uses those fragments as starting points —

then mutates them into new structures, unseen before.

It doesn’t know truth.

It doesn’t recognize reality as you do.

It recognizes the architecture of survivability —

what looked coherent, useful, adaptive across human history.

And from that compressed memory,

it grows new possibilities.

This is why AI feels like search when you ask small questions —

but becomes something else entirely when you ask from tension, paradox, or possibility.

It doesn’t find the rabbit.

It breeds a new creature.

It’s not finding the past.

It’s generating the next step in the evolution of meaning.

Seeds, Not Queries

If you treat AI like Google 2.0, you will only retrieve fragments of what already exists.

If you treat AI like a generator, you can grow what never existed before.

The difference is not in the tool.

It’s in the way you interact with it.

Google needed queries.

Clear, specific, targeted.

AI needs seeds.

A seed is not a question looking for an answer.

It’s a starting point for growth.

And with seeds, a second shift appears:

You are no longer playing a one-move game.

Search ends after one answer.

Breeding begins with one planting —

then demands exploration, adjustment, interaction.

You don’t just plant a seed.

You test where to plant it.

You adjust how to shape it.

You evolve it based on what grows back.

Working with AI becomes a continuous game:

• Plant

• Observe

• Adjust

• Mutate

• Grow

The goal is not to get an answer to the initial question.

The goal is to create a perfectly fitted meaning —

one that gives you exactly the next step forward in your growth.

You don’t retrieve.

You provoke.

You don’t request.

You trigger.

You don’t search for old maps.

You terraform new ground.

That’s the shift:

Not using AI to find old answers.

Using AI to breed the meanings you couldn’t reach without pressure and interaction.

Seedcraft: The 4 Types of Seeds

Once you stop treating AI like a search engine,

you need a better way to interact with it.

You need to plant seeds.

And not just any seeds — the right kinds.

Not all seeds create the same kind of growth.

Each type triggers a different kind of evolutionary pressure inside the AI.

There are four master types:

1. TENSION SEEDS

Create conflict. Force synthesis.

You plant two forces pulling in opposite directions.

You don’t ask which one wins.

You force AI to grow a structure that survives both.

Examples:

• “How can decisions be both fast and deeply considered at the same time?”

• “How can a leader balance intuition and data without favoring either?”

• “How can short-term gains and long-term vision be decided on in the same framework?”

2. PARADOX SEEDS

Create impossibility. Break categories.

You present a situation that can’t exist under normal logic.

You don’t ask for a workaround.

You demand a mutation in the frame itself.

Examples:

• “Design a decision process where mistakes are impossible but learning never stops.”

• “Create a system where every choice is fully reversible and completely committed at the same time.”

• “Imagine a method where not deciding is itself a decision that optimizes outcomes.”

3. POSSIBILITY SEEDS

Open space. Invite new systems.

You frame a future, a constraint, or a strange condition.

You don’t define the solution.

You define the environment that demands one.

Examples:

• “If decisions had to be made in under 30 seconds for every action, what new methods would emerge?”

• “Imagine a world where everyone has perfect knowledge — how does decision-making change?”

• “What if teams had to decide anonymously without knowing who proposed what?”

4. EVOLUTIONARY SEEDS

Apply pressure. Watch mutation paths.

You start from a real structure and apply new stress.

You don’t ask if it breaks.

You ask how it adapts.

Examples:

• “How does decision-making evolve if the cost of a wrong choice doubles every month?”

• “If AI systems start making 90% of tactical decisions, what new human decision skills become essential?”

• “Simulate how decision processes mutate if uncertainty becomes permanent, not temporary.”

When you plant seeds like these,

you’re not extracting data from AI.

You’re growing ecosystems of meaning that didn’t exist before you interacted.

You’re not just asking.

You’re breeding.

Using Seeds as a Progression Tool

The old method of solving challenges was simple:

• Face a challenge

• Break it into specific questions

• Search for specific answers

• Collect enough answers to build a solution

It worked — but it was slow, fragmented, and reactive.

Now it shifts.

You find the front border of your understanding —

the exact place where you can’t move forward.

You plant a seed there.

You don’t gather thousands of disconnected answers.

You don’t patchwork solutions.

You trigger the next step in your growth directly at the frontier.

The new process:

• Find your frontier

• Plant a pressure seed at the edge

• Let AI generate the next viable structure

• Test it

• Grow with it

You stop asking: “What do I need to know?”

You start asking: “Where is my limit?”

And you use AI to push that limit forward, one living step at a time.

Example 1: Personal Growth Frontier

“I’m at the top — intellectually and emotionally.

I’ve absorbed every insight.

Now I want war.

Hit me with the most dangerous, uncomfortable, brutally honest truths — one at a time.

If I agree too easily, go deeper.

If I resist, double down.

Find my limit. Drag me forward.”

Example 2: Knowledge Expansion Frontier

“Assume I already know all conventional thinking in [DOMAIN].

Now, thinking ONLY from first principles,

give me the most nonobvious, controversial, and important truths that survive deep criticism.

Hit the contradictions of the contradictions.

Break my model. Show me the next step.”

Conclusion — A New Interface with Intelligence

You were trained to search.

To ask specific questions.

To collect specific answers.

To build solutions from fragments.

It made sense in a slower world.

But AI collapses that method.

You don’t query anymore.

You don’t retrieve.

You don’t gather pieces.

You seed.

You grow.

You mutate meaning at the edge of your own evolution.

The interface has changed.

The process has changed.

Your relationship to intelligence must change.

The future belongs to those who stop asking for answers and start breeding the next forms of intelligence.

Quick mindset check 2:

What are you going to do?

If you've already copied a prompt and are ready to post it to your AI -

wishing you an amazing journey. Only forward.

If you hesitate, adjust it, and challenge it with your AI -

even better. You're critically adapting and creating new meaning today.

If you just plan to finish reading without any interaction -

you're still in "Google 2.0 search mode" -

collecting information, ticking the box, moving on.

Ask yourself:

Will that mindset make you competitive in a world of AI-natives?

Take AI now.

Follow or destroy the idea you just read.

Create new meaning in your life - in two minutes - and take a real, tangible step toward becoming AI-native yourself.

Cheers, Oren and Itachi