Newday Agency

Founder

Fast-forward your online growth and get sh*t done without wasting your time or money. | MarTech Consultant

Hey, I’m Sean.

I’ve helped clients generate over $100 million in revenue by aligning their MarTech, automation, and analytics into systems that run smoother, convert better, and scale faster.

I help fast-moving founders and scaling teams accelerate growth by fixing the tech, data, and marketing chaos that quietly kills momentum.
What I Do:

We start by identifying the friction.
Disconnected tools. Funnels that leak. Campaigns that launch but never scale.

Then I build systems that give you clarity, speed, and consistent results.

This can include:

     - A lean MarTech stack that actually talks to itself
     - Automation that closes leads without follow-up loops
     - Analytics that show what’s working so you can double down
     - SEO support when organic growth fits the model
     - Launch-ready systems for new offers, sites, or campaigns

Who I Work With:

     - Founders scaling from $1M to $20M
     - Startups shifting from founder-led to systems-led growth
     - VC-backed teams racing toward real revenue milestones
     - Operators tired of wasting money on broken marketing

Why Work With Me:

     - I’ve built and broken real systems. I know where the landmines are.
     - I don’t spoon-feed. I make your team faster, sharper, and more focused.
     - I’m built for ROI. You’ll move quicker, spend smarter, and actually trust your growth again.


If you’re scaling and tired of systems that don’t, DM me “SYSTEMS” and I’ll show you how to simplify, streamline, and scale.

      👉 Book your free call now: https://seankoole.com/book/

You don’t need to write a single line of code to build an AI agent that works.

But that’s where most people stop
they hear “NO CODE” and think “no learning.”

That’s the real mistake.

Building AI isn’t about clicking tools or stacking prompts.
It’s about understanding how things work together: 

➔  how info moves,
➔  how choices are made,
➔  how your agent thinks.

Most people just copy what others do:

➔ They mix tools.
➔ They add fancy prompts.
➔ They call it “AI-powered"

But they never ask:
“Do I really know what this thing is doing?”

And that’s why so many projects break.
They look smart on the surface,
but fall apart when it matters.

So what should you do right now?

1️⃣ Slow down and map your process.
 Before building, write out what actually happens.
 👉 Inputs → Steps → Results.

2️⃣ Ask smarter questions.
 If your agent fails, don’t ask “What prompt should I use?”
 Ask “What did I miss about how it works?”

3️⃣ Treat every agent like a machine you’re tuning.
 See how it pulls data.
 Watch how it reacts.

Notice where it breaks.
You’ll learn more from one mistake than a week of tutorials.

That’s what “learning AI” really means
you’re not copying tricks,
you’re building real understanding.

That’s the difference between people who use AI…
 and people who lead with it.

👇
 Where do you think most people get stuck... tools, mindset, or process?

Sean Warren Koole

I just built a $10,000 AI Sales System.

And instead of selling it, I’m giving it away for free (for the next 24 hours).

This system generates hyper personalized outreach + nurtures qualified leads until they land directly on your calendar.

Here’s what it does:

→ Finds your best-fit leads across platforms
→ Writes outreach that actually gets replies
→ Follows up automatically with AI agents
→ Books 50+ meetings per month straight into your calendar

It runs 24/7.
And it’s designed for any B2B company that wants to scale beyond $1M ARR.

Normally, I could sell this for $10k+.
But for the next 24 hours, I’m giving it away 100% free.

Inside you’ll get:

→ The exact AI workflows I use
→ Pre built outreach templates that convert
→ The automation stack powering it all

👉 To get it:

1️⃣Connect with me
2️⃣Comment “Scale”
⚠️ Important: (I can only send the resource if we’re connected)

📌P.S. Repost this post if you want priority access.

I love OpenAI’s new Agent Builder but let’s STOP the hype 😭

It’s not killing n8n.
It’s working with it.

Agent Builder (part of AgentKit) is built for chat and reasoning.
You start with a prompt, not a trigger.

You’re building agents that talk, think, and improve not just run tasks.

👉OpenAI nailed it.
👉Finally, AI that actually thinks, not just talks.

So what can you do with AgentKit?
Think:

➞ Chatbots that help onboard new users
➞ Support bots that solve real problems
➞ Simple tools that run through chat
➞ Research or sales bots that use your data


Here’s what’s inside:

➞ Agent Builder: drag-and-drop canvas to design and connect agents
➞ ChatKit: easy chat UI you can add to any app
➞ Connector Registry: secure place to manage your data links
➞ Eval Tools: test and improve your agents over time


It helps you build, launch, and improve AI agents fast
without deep coding or setup pain.

But and this part matters…
if you’re working with data flows, backend logic, or big automations,
that’s not its job.


That’s where n8n shines.
It’s made for automation triggers, APIs, webhooks, schedules, data syncs.
It’s open source, flexible, and handles all the backend work.

Here’s the smart move:

Use AgentKit for the human side (chat, context, and reasoning)
Use n8n for the system side (data, logic, and flow)

Together?
➞ You get agents that talk, act, and deliver results.
➞ Different jobs.
➞ Same goal.

Stop calling it a fight.
Agent Builder is the future of chat-first apps.
n8n is the automation backbone.

Not competitors.
Complements.

👉Agree or disagree?


📌PS: Most teams waste months trying to connect chat and automation.
🙌 I fix that fast, clean, and built to make money.

Live build | Customer Support AI Agent (n8n)

What if 80% of your customers questions could be handled by AI? I'm building a Live Customer Support AI Agent using n8n. Join me, ask me questions, and learn with me.

BREAKING: OpenAI just made building AI agents as easy as drag-and-drop.

Before this, building one AI agent meant pain.

→ Too many moving parts.
→ Too much manual tuning.
→ Too much that could break.

You’d spend weeks connecting tools, writing custom scripts, and fixing workflows that never stayed fixed.

Now?
You can go from idea → working agent in a few hours.

OpenAI just released AgentKit and it quietly solves most of the headaches developers and ops teams have lived with.

Here’s what matters:

➙ Agent Builder
A visual way to design and test multi-agent systems.
Logic, versioning, and guardrails built in.

➙ Connector Registry
 Centralized control for data access.
 Dropbox, Drive, SharePoint managed in one place.

➙ ChatKit
 Embed conversational agents into your product.
 Custom interface, instant responses, no heavy setup.

➙ Evals 2.0
Measure performance.
Iterate fast.
Keep improving without starting over.

And here’s the bigger point
You don’t need to be technical to use this.

If you understand your workflow, your customer journey, or your process…
you can now build the agent yourself.

No code.
No engineering backlog.
No “can you connect this for me?” conversations.

Do you think NO-code AI will replace tools like n8n and Make?
Why or why not?

I Built an AI Agent in n8n for Invoice Automation (You can COPY IT!)

What if you never had to process another invoice manually again? I built an AI Agent in n8n that automates the entire invoicing process — and you can copy it. Follow along, learn how it works, and build your own AI-powered automation with me.

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