Lead gen agencies are about to have a very bad year...

Here's what they actually do:

- use AI to scrape lists
- use AI to enrich data
- use AI to write emails
- use AI to send and reply

Then charge $5K/month plus a cut of every deal.

What if one AI agent did all of that? Here’s how 👇 2/12 I've worked with two cold email agencies.

Both massively underdelivered.

The problem isn't the tactics. It's the model.

You're paying humans to babysit a stack of AI tools.

Half the retainer goes to overhead, not results.

7 optimization techniques that smart n8n builders use to cut AI costs by 70%: 🧵 What's coming:

- Modular agents that use the cheapest model per task
- Batch processing that cuts system prompt waste by 90%
- Complexity routing (why use GPT-4 for simple tasks?)
- The token tracking system that prevents overnight disasters

Stop bleeding money in your workflows.

Your AI agent is only as good as your system prompt.

Here's my framework for writing system prompts that actually WORK: 🧵 1/
First rule: Use Markdown formatting. Always.

Why? LLMs parse Markdown better than plain text.

It's cleaner for humans AND machines.

If you want to find automation opportunities in any business, ask these questions: Before we get into the questions, I need to mention one critical thing.

Never put words in the prospects mouth.

They need to say in their own words what the problem is...

AND the time and money it costing them.

First question:

How to eliminate AI agent hallucinations in your n8n workflows:🧵 Here's how it works:

1. Your main AI agent generates output
2. Validation agent checks it against your criteria
3. Rates it 1-10
4. If <8: sends feedback & loops back
5. If ≥8: proceeds to next step

The AI learns from its mistakes. No more garbage outputs.

I just gave Claude 38 reasoning modes including Monte Carlo analysis, Tree of Thought, and systematic debugging.

The MCP setup takes 30 seconds: What this means:

- Strategic decisions get probability analysis instead of guesses
- Complex problems get systematic breakdown instead of surface answers
- Business questions get consultant-level frameworks instead of generic advice

It's like hiring a strategy team.

There's a 6-month window to pivot your automation skills...

After that, node-clicking becomes worthless.

Smart builders are already making the switch, here's how 🧵 Everyone's panicking: "Will AI replace n8n builders?"

Wrong question.

The RIGHT question: "What skills will still print money when building gets 10x faster?"

Answer: The work you do BEFORE you touch a single node.

n8n is about to ruin your weekend (unless you follow these 5 rules): 1/ Name your nodes or die trying

"HTTP Request 45" tells you nothing.

"Fetch_Customer_Data" saves your ass at 2AM.

Trust me - debugging unnamed nodes in production is a special kind of hell.

Name them now or cry later.

The hybrid automation method nobody talks about.

It's faster than building.

Cheaper than buying.

More flexible than both.

Here's how it works: [2/8]Not every process needs a full n8n automation.

Before you build ANYTHING, ask:

- How much time will building take?
- How much time will it save?
- Do I need full control over outputs?

That API with no n8n integration is actually easy to connect.

I've done this 100's of times. Here's my process: Step 1: HTTP Request Node handles 90% of APIs

Method: POST
URL:
Auth: Bearer Token
Headers: Content-Type: application/json
Body: Your JSON

This single node works with any REST API.your-api.com/endpoint

Everyone says n8n is "easy to learn"

They're lying.

Here's the real learning curve: Week 1: The Basics (5-10 hours)

You'll build:

- Simple 2-3 node workflows
- Webhook triggers
- Basic data transformations

Frustrations: Understanding node connections

Reality: You'll rebuild your first workflows 3x

Just installed an MCP that gives ChatGPT, Claude, and Cursor a shared memory, here's how it works: Here's what used to drive me crazy:

I'd spend 20 minutes explaining my project to Claude, then switch to Cursor for coding and have to explain everything again.

Every single AI tool starts from zero.

Such a waste of time.

n8n just dropped a feature that changes automation forever...

The AI assistant builder is here.

Type what you want and get a working workflow in seconds.

No more giant prompts.

No more broken JSONs.

No more debugging.

This changes everything. 🧵👇 The old way was PAINFUL:

- 4-6 page prompts in Claude
- Copy-pasting endless JSONs
- Broken nodes everywhere
- Hours of debugging
- External dependencies

We all tried to hack our way to faster workflow building.

But it never worked properly.

In 6 months, running a business without AI having full context will seem insane.

I built mine last week.

Claude sees my CRM, calls, emails, analytics - everything.

Here's the full setup 👇 Imagine asking Claude:

"What should I know about my 3pm call with John?"

...and getting his purchase history, pain points from past calls, recent email exchanges, and behavioral data from your analytics.

That's what this setup does.

The $50,000 n8n licensing mistake (and how to avoid it): n8n can force you to:

- Pay $15k-50k for proper licensing
- Or shut down your entire operation

Here's exactly what you CAN and CAN'T do with each license type:

How to master n8n in 30 days (the exact roadmap): If you follow this process, you won’t just “know” n8n...

You’ll be able to walk into any business, spot 5 things to automate on the spot, and build them before lunch.

There's a prompting technique that makes AI respond exactly how you want, every single time.

Most people have never heard of it.

It's called JSON prompting, and it's why enterprise AI apps never break.

Here's how it works: 🧵 Regular prompts give you inconsistent outputs because AI doesn't know what structure you want.

JSON prompts force the AI to follow a specific format every time.

Structure = predictability.

SMS is the highest ROI channel for ecommerce but most brands waste it with generic abandoned cart messages.

I built an AI system that turns SMS into personal shopping consultations.

Here's how to build the system: 🧵 I spoke to a 7-figure Shopify owner who manually texts every abandoned cart customer.

His AOV is $1000+ so it works but his assistant spends 4 hours daily on this.

Time to automate it with AI.

Nothing beats invoicing an extra $10K-$20K on top of your retainer...

That's why I switched to revenue share deals.

Clients pay me 10% of everything I generate for them.

Here’s how I do it: 🧵 Most agencies pitch boring offers:

"We'll automate your email sequences"
"Save 10 hours per week"
"Increase conversion rates by 30%"

None of this matters if you can't tie it to dollars.

Clients want one thing: measurable ROI on their investment.

The Ultimate Guide to Vibe Marketing: 🧵

Gems from @boringmarketer 1/
What is Vibe Marketing?

Using AI as your marketing exoskeleton. Instead of building rigid workflows, you lean on AI to handle the heavy lifting while you focus on strategy and creativity.

Think "vibe coding" but for marketing.

The difference between AI hobbyists and AI entrepreneurs comes down to 4 skills...

Don't be the guy that masters the tech but ignores the business fundamentals.

Here's what actually separates the money-makers from the tinkerers: 🧵 1/ COPYWRITING

Everything online is copy.

Your X posts
Your website
Your emails
Your videos
Your ads

If you can't write words that make people take action, you're dead in the water

The good news? AI can write killer copy

The bad news? You need to know what killer copy looks like first