Elements Marketing Ltd

SaaS Copywriter and Messaging Consultant

Mockuuups Studio

I’ve been consulting with Mockuuups for several years with results like... 👇

- 300% increase in organic traffic.
- 43% increase in landing page conversions. 🤑
- 8K+ leads from comparison landing pages.
- High-converting pricing page (ask me about it)
- Dialed in conversion, retention, and product email sequences.

Conversion copywriter and consultant

Hustle Fund

Hustle Fund Newsletter

Are you a SaaS company trying to plant your flag in a crowded category?

I partner with SaaS companies to sharpen their website messaging, write SEO content that drives sign-ups, and create emails that activate and convert.

Clients include MEDDICC, VEED, BrightLocal, Mailmeteor, and 20+ more.

Recent client wins:

- BrightLocal worked with me to sharpen their messaging on their homepage and solution pages, resulting in a 15-20% increase in product sign-ups.

- Mockuuups Studio hired me to create SEO comparison pages, leading to 8,000 new sign-ups and counting.

- MEDDICC hired me to revamp their homepage to communicate the value of their full product suite.

- VEED hired me to help launch their first B2B landing page and revamp their use case pages.

I could go on…

If you’re a SaaS company looking to create landing pages, content, emails, and sales collateral to impact the bottom line, book a call or email me at harry[at]elementscopy.com, and let’s talk.

Harry Lawson

Stephen G. Pope

We help experts, content agency founders, YouTubers and content teams confidently scale their content process to 100s of videos, images and text per week.

We offer the only fully automated and ai-enabled content management system, the Kontent Engine Database. Plan, create, store, search, produce, distribute and analyze content in one place. Built using no-code tools for maximum flexibility and customization.

✔ Save 1000's of hours by automating repetitive tasks
✔ Significantly boost your content output across all channels
✔ Build a stress-free content team and workflow
✔ Multiply your content using AI & ChatGPT

Hi, I'm Stephen. After selling my 7-figure tech firm, I started creating content to get clients for my next business. But I got overwhelmed by all the planning, recording, editing, and posting across social media.

Influencers like Gary Vee and Alex Hormozi are the models for how to grow on social media and run an agency. But they spend $50K+ monthly on a huge team of videographers, video editors, designers, copywriters and social media experts.

With our plug-n-play system you can achieve similar results with less than $1,000.

Think of it as a social media production department in a box.

Before building the Kontent Engine DB I grew and sold a software company.

Over 12 years, I scaled it to a team of 25 and millions in ARR and made Inc Magazine’s list of 5000 fastest growing companies. I sold the company in 2018. 

We developed products, custom applications and backend architecture for 75+ startups, mid-sized and Fortune 10 companies, including Apple, United Healthcare, Maxim Magazine, PRI (radio), AppDynamics, Survey Monkey and NBC (and more).

After selling the business, starting a fresh company and encountering the challenges of content—I applied my tech skills to the content process. Now I'm excited to offer the only and most advanced content system in the market.

Join 200+ other experts, agency founders, YouTubers and content teams that have revolutionized their content process overnight. Book a call here → https://kontentengine.io

Founder & CEO

Use your industry expertise to create a decisive advantage for your company.

We use a unique blend of content strategy, video, community building and technology to increase your online reach and get people talking about you.

Results:

― Consistent revenue growth
― Working with ideal clients (& increased fees)
― Reducing the sales cycle /w less time chasing business

To make an impact, your content needs to be different, engaging and provide value.

It’s not easy, which is why there’s an opportunity. Most companies are on the sidelines, or merely checking the boxes with bland and generic content that doesn’t move the needle.

 You can accelerate business growth with a mix of:

+ Creative marketing strategy
+ Content marketing & social media strategy
+ Video production (& LinkedIn video)
+ Scalability & content repurposing (micro-content)
+ Media production and distribution HOW-TO processes
+ Technology innovation: Scalability, efficiency and optimization

Check us out if you want to stand out and differentiate yourself by showing your expertise and exactly how you innovate. We'll help you take a time intensive, complex and detailed-oriented activity and make it efficient, sustainable and fun.

————

https://kontentengine.io

Stephen Pope

I built my own AI agent because the alternatives were failing people.

Security was the first problem. Tools like OpenClaw modify themselves with zero oversight. Clawdbot has led to thousands of data leaks. Your credentials, your files, your data all exposed.

Then there's cost. AI gurus are pushing $100/day setups, $500 Mac minis, stacking API fees on top. Most people are getting priced out of the biggest technological shift of their lifetime before they even get started.

And when something breaks? You have no idea why. N8N and Make.com have you connecting nodes like it's 2019, no visibility into what your agent actually did.

So I spent weeks figuring out the right architecture.

Every action PopeBot takes is a git commit. You see exactly what it did, when, and why. Credentials live in GitHub Secrets nothing exposed in your code. 

Every change goes through a pull request. You approve before anything hits your main branch. And it self-improves by analyzing its own logs, with every step fully auditable.

It runs on GitHub's free compute. $0 to get started.

The agent working for you 24/7 shouldn't cost a fortune or put your data at risk.

The PopeBot is free, link is in the comments below.

Easily produce 100s of videos, images and text posts per week. Automated and AI-enabled content systems for brands and content agencies.

Most people think autonomous AI agents are out of reach.

Too expensive. Too technical. Too much infrastructure to set up.

That's the story being told. It's not the full picture.

I built an AI agent that runs 24/7 — on a computer I already own, using free AI models, with zero ongoing API costs. Full chat interface. Scheduled jobs. Notifications. The agent can write code, call APIs, and create its own skills.

The barrier isn't money. It's knowing the right architecture.

It took me weeks to crack it. But once I did, the install became one step.

Here's what makes it free: Ollama runs the AI models locally at no cost. GitHub gives you 2,000 free hours of runner time. No subscriptions. No API fees. Just hardware you already have sitting on your desk.

The biggest shift of most people's lifetime is happening right now.

You don't need a $100/day Cloudbot subscription to be part of it. You don't need a $500 Mac mini. You don't need to stack API fees on top of all that.

You need the right setup. That's it.

The opportunity is far more accessible than anyone's telling you.

Look at every AI company building products right now.

OpenAI. Anthropic. Every single one of them.

They're not building dashboards. They're not building forms or dropdown menus or settings panels.

They're building chat interfaces.

Every time.

This isn't a coincidence. It's a signal about where software is actually headed.

The traditional SaaS model - click here, fill this out, navigate to that screen - is quietly becoming obsolete. The new interface is a conversation. You tell it what you want. It does it. That's it.

That's why when I built the new PopeBot interface, I built it as a chat. Using the most up-to-date tools and SDKs on the market. The same ones powering the big players. Streaming responses, full attachment support, PDFs, images - everything works the way you'd expect from a modern AI product.

Not because it looks cool. Because it's where things are going.

Most businesses haven't caught on yet. They're still thinking about software in terms of screens and buttons and workflows. But the companies building the future are thinking in conversations.

The interface layer is shifting.

Chat is the new UX.

The question isn't whether this transition happens. It's whether you start building in that direction now - or wait until everyone else has already figured it out.

If you want to build in this direction, jump into the AI Architects community. We're working on exactly this.

Most people's AI story goes like this.

They write one email with ChatGPT. Think it's pretty cool. Then go straight back to regular life.

That's it.

I've talked to enough people to know this isn't rare. It's the norm. And I've tried everything to change it.

I've been gentle about it. I've tried to scare the crap out of people. Told them what's coming, what they're missing, what it could mean for their business.

I've never once changed anybody's mind.

So I stopped trying to convince people. And started building for the ones who are already in.

Because here's what that gap actually means.

The distance between what AI can do and what most people do with it is enormous. That's not a problem. That's the opportunity.

The world doesn't need more AI hype. It doesn't need more warnings. It needs people who can close that gap who can take the technology and make it work for real businesses, right now.

That's what automation builders do. And if you're already doing that today, you're still incredibly early.

If you want to be around people building at that level, that's exactly what the 
AI Architects community is for. Link is in the comments.

I'm building a skill library for Popebot.

Which is weird when you think about it.

Because the bot can already create those skills on its own.

When you install Popebot, it's intentionally empty. Minimal configuration. You build whatever you want from scratch.

The bot can create a financial adviser, set up scheduled tasks, build custom workflows all from a simple prompt.

So why would I spend time creating a repository of common skills that you can just install?

Here's what I'm realizing.

It's not about capability. It's about friction.

Yes, the bot can create anything. But every time you want a new skill, you're starting from zero. You're explaining the task, reviewing the plan, waiting for it to build.

That's fine when you're building something custom.

But for common tasks? That's friction you don't need.

A skill library isn't about what the bot can't do. It's about removing repetitive setup for things everyone needs anyway.

Think of it like this: you could ask Claude to write a Python script for every single task. Or you could install a library that already has the functions you need.

Same capability. Less friction.

The paradox isn't really a paradox at all.

You're not choosing between building skills yourself or installing pre-built ones.

You're choosing when to start from scratch and when to skip straight to execution.

Both have their place. That's the point.

Most people think running an autonomous AI agent 24/7 requires a serious budget.

$100 a day for Clawdbot. API fees stacking up in the background. A $500 Mac mini just to get started.

That's what the gurus are pushing. And it's keeping most people on the sidelines.

Here's what the math actually looks like when you build it right.

The LLM is free. Tools like Ollama run locally on a computer you already own. No API calls. No per-token billing. Just your hardware doing the work.

The compute is free. GitHub gives you 2,000 free hours of runtime. That's where the agent's jobs run — research, scheduling, checking email, whatever you give it. All on GitHub's infrastructure, not yours.

The tunnel is free. If you're running this on your home computer, Ngrok handles the connection. Free account. One command to start it.

Brave Search is free. That's what gives your agent the ability to search the web — similar to what you'd get with Claude's web search. Free tier covers it.

So the real cost of running a 24/7 autonomous agent?

Basically just electricity.

The expensive setups exist. They make sense at a certain scale. But the idea that you need to spend hundreds of dollars a month just to get started — that's not a technical reality.

It's a barrier that doesn't have to be there.

Link to the YouTube video in the comments.

I just dropped a new video and this one's wild.

I gave my AI agent a single project, build an Airtable content system, set up image creation, save everything to Google Drive, create blog docs, and link it all back to Airtable.

I wrote zero code.

The agent checked what skills it already had, enabled the inactive ones, and built the Airtable skill from scratch because it didn't exist yet.

Then it tested everything itself. Created an image, uploaded it, created a doc, logged it in Airtable, verified it worked, cleaned up after itself.

I pushed it further grabbed a transcript from one of my own YouTube videos, wrote a blog, generated an image, linked everything to Airtable.

Same result. Zero code from me.

This is what a self-improving agent actually looks like. Not pre-built tools. A system that figures out what it's missing and builds it.

Full video in the comments 👇

Most autonomous AI agents are a black box.

You turn them on, they start doing things, and you just... hope it's the right things.

That's not autonomy. That's anxiety.

Here's what I did differently.

Every single change my agent makes runs through GitHub. That means before anything actually updates in my system, I can see exactly what it did, why it did it, and approve or reject it.

Want to see the agent's thought process? It's all there. Every log, every action, every file it touched.

And here's where it gets interesting.

You can use that history to make the agent better. Create a heartbeat job that has it review its own logs every day. Where did it struggle? What could it do differently? The agent can literally read its own track record and self-improve.

That's not just transparency. That's compounding.

Now, if you trust it, you can flip a setting and let everything automerge without review. Full autonomy, no bottlenecks. But if you want eyes on everything, that's there too.

The point is you're in control of how much control you give up.

Most people avoid autonomous agents because they don't trust them. And they're right not to — most setups give you zero visibility into what's actually happening.

Trust isn't a feature people talk about enough.

It should be the first thing you build for.

→Check out the full video setup here on YouTube: https://lnkd.in/gjae9XPS

Open video: I Built a FREE OpenClaw (no Mac Mini or API Fees) on youtu.be

I Built a FREE OpenClaw (no Mac Mini or API Fees)

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The Battle

Harry Lawson

Stephen Pope

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The Battle

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Stephen Pope

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Stephen Pope's LinkedIn Performance

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