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Oct 9 20 tweets 4 min read Read on X
OpenAI just pulled off the most brilliant corporate move since Apple created the walled garden.

And I hate that I have to admit it.

AgentKit isn't just a tool release. It's the final piece of an ecosystem trap that's about to swallow the entire AI industry.

Here's the play nobody's talking about: 🧵
Let me be transparent upfront (this is NOT a biased thread):

I barely use OpenAI. Simple tasks and Codex? Sure. But I'm mostly on n8n building shit, so Cursor's been better for me.

Personal work? I don't touch them.

Client work? Completely locked in.

And that's EXACTLY their strategy.

This is the Apple playbook, and it's fucking genius even if I hate it.
The Apple Comparison Everyone's Missing:

Remember when Apple wasn't "the best" at anything specific?

- Samsung had better cameras
- Android had more customization
- Other phones had better battery life

But Apple didn't need to be the best. They needed to be INTEGRATED.

OpenAI just did the same thing.
What OpenAI Released This Week:

→ AgentKit (visual agent builder)
→ Connector Registry (integration hub)
→ ChatKit (embeddable SDK)
→ Evaluation tools
→ Codex improvements

None of this is revolutionary tech. Claude already has similar SDKs. n8n has visual builders. Others have evaluation tools.

But that's not the point.
The Strategy Isn't Innovation - It's Integration:

OpenAI isn't trying to build the BEST agent builder.
They're building the most INTEGRATED ecosystem.

Agent Builder → connects to GPT models
ChatKit → connects to your apps
Connector Registry → connects to your tools
Codex → connects to your codebase
Evaluation → connects to your workflows

Everything loops back to OpenAI.
It's the same reason you're still using an iPhone even though you KNOW Samsung's camera is better:

Because your:
- Photos are in iCloud
- Messages are in iMessage
- Apps are in App Store
- Watch is Apple Watch
- AirPods only work seamlessly with iPhone

Switching cost = too fucking high.
OpenAI's version:

Your:
- Agents are in AgentKit
- Workflows are in their ecosystem
- API keys are configured
- Team is trained on their tools
- Clients expect ChatGPT integrations
- Data is in their format

Switching cost = too fucking high.
Here's my honest take as someone who DOESN'T want to be locked in:

I use OpenAI for client work not because they're the best, but because:

1. All my client data is already there
2. They already know my projects
3. Switching means reconfiguring everything
4. Clients recognize the OpenAI brand
5. It's just... easier

Sound familiar? That's the iPhone problem.
The Brutal Reality:

Claude has better reasoning for complex tasks.
Anthropic has better safety features.
Open-source models are more customizable.

But OpenAI has the ECOSYSTEM.

And in tech, ecosystem > features every single time.
Why This Week Changed Everything:

Before AgentKit: You could use OpenAI APIs and build elsewhere

After AgentKit: Why would you?

Your agents, your tools, your workflows, your evaluations - all in one place.

It's SO convenient. That's the trap.
The scary part?

They're not even hiding it.

Sam Altman basically said: "We're building the infrastructure for the AI economy."

Translation: "We're building the roads, and you'll pay the toll forever."
Apple did this with:
- App Store (30% cut)
- iCloud (monthly subscription)
- Apple Music (monthly subscription)
- Apple TV+ (monthly subscription)

OpenAI will do this with:
- API usage (per-token pricing)
- Agent hosting (monthly fees)
- Enterprise features (premium tiers)
- Connector access (integration fees)

And you'll pay because switching costs too much.
My Prediction:

In 2 years, we'll have:

"OpenAI Developers" - people who only know how to build in OpenAI's ecosystem
"OpenAI Agencies" - companies that only service OpenAI implementations
"OpenAI Consultants" - experts in OpenAI's specific tools

Just like we have:
- iOS developers
- Apple-certified repair shops
- Apple ecosystem consultants

The market will specialize around the ecosystem, making it EVEN HARDER to leave.
Why I'm Conflicted:

As a builder: I fucking hate this. I want open tools, interoperability, freedom to switch.

As a business owner: I completely understand why this works and why clients want it.

As a realist: I know I'm already trapped and so are you.
The Part That Actually Impresses Me:

This isn't about building the smartest AI.
It's about building the stickiest platform.

And they executed it FAST:

- ChatGPT (consumer lock-in)
- API (developer lock-in)
- Enterprise features (business lock-in)
- AgentKit (workflow lock-in)

Each layer makes leaving harder.

That's not lucky. That's strategic.
The Honest Truth About Why I Still Use Them:

When a client says "can you integrate AI?" they mean OpenAI.
When investors ask "what models do you use?" they want to hear OpenAI.
When I need something to "just work" for a demo, I use OpenAI.

Not because it's better.
Because it's expected.

That's how Apple won. Not by being best. By being default.
What This Means For You:

If you're building AI products:
→ You'll probably build on OpenAI because that's what clients expect
→ You'll probably stay because switching costs too much
→ You'll probably be fine with it because it mostly works

If you're consulting:
→ Learn the OpenAI ecosystem deeply
→ Position as "OpenAI specialists"
→ Charge premium for ecosystem expertise

If you're investing:
→ Bet on companies building ON TOP of OpenAI
→ Bet on OpenAI-specific tools and services
→ Bet on the ecosystem, not the competition
The Uncomfortable Conclusion:

I want to hate this.
I philosophically PREFER open systems.
I'd rather use Claude for complex reasoning.
I'd rather build with open-source tools.

But I'm a realist.

OpenAI just built the iPhone of AI.
And you don't fight the iPhone by having a better camera.

You accept that 90% of people will buy it anyway because their whole life is already in the ecosystem.
Will I switch my personal projects? Probably not immediately.
Will I keep using OpenAI for client work? Absolutely.
Will I recommend clients build on OpenAI? Unfortunately, yes.

Because ecosystem beats features.
Integration beats innovation.
Convenience beats philosophy.

That's the game. OpenAI just won it.
And we're all going to keep using them while complaining about it, just like iPhone users.

The only question is: Are you going to specialize in the ecosystem and make money, or fight it and lose?

I chose pragmatism. You should too.

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More from @NoahEpstein_

Oct 1
Claude Sonnet 4.5 quietly dropped last week and created the biggest wealth transfer opportunity since ChatGPT launched.

While everyone's sleeping on it, smart operators are using it to:
- Build $20K automations in 20 minutes
- Replace $100K/year employees with $20/month workflows
- Sell "custom" solutions that AI generates instantly

The intelligence gap just became a goldmine:
Here's what actually changed:

Claude can now understand your business problems in plain English and architect complete n8n workflows from scratch.

No coding. No templates. Just describe what you need.

"I want to scrape competitor pricing and alert me when they change" → Complete workflow in 90 seconds.
The market hasn't caught up yet.

Automation consultants are still charging $10K+ for workflows that Claude builds in minutes.

They're banking on clients not knowing this exists.

That window closes fast.
Read 19 tweets
Sep 17
We live in the most absurd timeline in human history and 99% of people don't realize it.

You have god-mode creation tools at your fingertips. For free. Right now.

Let me show you what's actually possible when imagination is your only limit: 🧵
A 14-year-old just built an AI therapist that's helping thousands.

A grandmother created a language learning app that beats Duolingo.

A janitor automated Fortune 500 workflows and now consults for $300/hour.

None of them could code 6 months ago.
Here's what's free in 2025 that would've cost millions in 2020:

- Voice cloning (5 seconds of audio)
- Video generation (text → cinema)
- Code creation (idea → working app)
- 3D modeling (sketch → CAD file)
- Music production (hum → full orchestra)
- Business automation (description → system)

Total cost: $0
Time to start: Now
Read 11 tweets
Sep 10
Perplexity just quietly gave the US government FREE access to their $200/month AI.

But they buried the real opportunity:

While consultants charge federal agencies $500K for "AI strategies," a 23-year-old is about to bank $47K/month selling plain English automations.

I spent 48 hours studying this intelligence gap goldmine.

Here's how to extract money from government incompetence: 🧵
First, the uncomfortable truth:

Federal agencies have a $500 BILLION IT budget.

Most of them can't even rotate a PDF.

Perplexity just gave them frontier AI for FREE.

But they still need someone to show them how to use it.

That someone charges $10K for 2 hours of work.
Move #1: The Perplexity + government play

While agencies get free Perplexity access...

They have no idea how to integrate it.

Step 1: Find agency pain points with Perplexity
Step 2: Build the solution with synta in plain English
Step 3: Charge $25K for "AI integration"

Total time: 3 hours.synta.io
Read 12 tweets
Sep 8
Claude just quietly released an update that kills the entire $50K automation agency model.

But they buried what really matters:

Non-technical people are now building $10K workflows in plain English and selling them to lawyers who can't rotate PDFs.

I spent 2 months documenting this intelligence gap gold rush.

Here are the 7 moves that separate winners sending $47K/month to there bank from people still learning to code:
Move #1: Stop learning n8n. Start using

While everyone's watching 10-hour n8n tutorials...

Smart operators type "create customer onboarding workflow" into synta and have a working automation in 3 minutes.

No JSON. No nodes. Just English.

The technical moat just disappeared.synta.io
Move #2: Use Claude to find invisible niches

Here's what nobody tells you:

Claude + the right prompts = niche goldmine finder.

"Find me 10 industries still using paper forms in 2025"
"What professions hate technology but have money"
"List businesses drowning in manual processes"

5 minutes of prompting = 50 niches nobody's targeting.
Read 14 tweets
Sep 6
Tech Twitter just admitted everyone's building the same AI wrappers.

But they buried the real story:

A 22-year-old sends $73K invoices monthly selling basic automation to dentists.

I tested this "intelligence gap" framework for 3 months and it prints $10K+/month.

Here are the 5 steps to your first enterprise client (no coding required):
Here's the uncomfortable truth:

The people who need AI most understand it least.

And they have MONEY.

- Lawyers billing $500/hour using paper calendars
- Doctors with 6-month wait lists and Excel spreadsheets
- Consultants charging $10K/month with zero systems

They're drowning in inefficiency.
The intelligence gap formula is simple:

1. Find successful people using stone-age systems
2. Show them what everyone else already has
3. Charge premium prices for basic solutions
4. They think you're a wizard

Most AI builders miss this because they hang out with other tech people.
Read 13 tweets
Aug 31
how regular people escaped their 9-5 using Claude to build $10K/month automation businesses: 🧵
I watched multiple people quit their jobs and build automation businesses.

The crazy part? Most had ZERO technical background.

They just followed this exact blueprint to hit $10K/month within 90 days.

Here's the step-by-step system they all used →
(1/18) Step 1: Find Your Money-Making Niche (10 minutes)

Everyone thinks AI is the future. But old-school businesses still run on spreadsheets and prayers.

Go to Claude and paste this prompt →
Read 20 tweets

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