Royal Training College

I’ve built 80+ AI agents and spent 10,000 hours prompting. These 4 rules never fail.

Here’s what works for me

The 4 Golden Rules of Prompting
(works for text, code, images, video everything)

▢ Specific Goal ↦ What do you actually want?

▢ Context ↦ What does it need to know to help?

▢ Role ↦ Who should it pretend to be?

▢ Examples ↦ What should the output look like?

Use these 3 frameworks:

Saves you time and gets consistently sharp outputs - everytime

1./ R.A.C.E.

🔹Role → Tell AI who to be
🔹Action → What you need it to do
🔹Context → Key details or data
🔹Expectation → Say exactly how you want the output

E.g. "Act as an experienced BA. Analyse this CSV of support tickets. Focus on onboarding issues. Give me 5 top pain points with quotes and prioritisation."

2./ R.I.S.E.

🔹 Request – Set the expert persona
🔹 Input – Give it the raw data
🔹 Scenario – Describe the situation
🔹 Expectation – Ask for actionable outcomes

E.g. "Draft a user story. Input: Acceptance Criteria. Scenario: Under 8 points. Expect: Story + edge cases."

3./ C.O.A.T.

🔹 Context – Background info
🔹 Objective – Your end goal
🔹 Actions – How AI should think
🔹 Tasks – What you want back

E.g. "We need a GTM plan to get 1000 paid users in 3 months. Pick channels, budget, and create a week-by-week plan."

Prompting is the highest ROI skill you can learn.
It’s the new literacy.

Don’t overthink it.
Just test, tweak, and talk to it like a smart intern.

Even asking AI to make your prompt better is a prompt.

Try this:
"You're a world-class prompt engineer. Optimise this prompt for clarity and results: [Paste Prompt]"

You’ll be shocked at the improvement.

📌 There is something better than prompting and its creating AI agents.

Most people don’t need more AI tools.

They need fewer… better ones.

I’ve tested 10s of tools over the last 2 years.
Most were impressive demos.
Very few survived real work.

Because in the long run,
fancy features don’t matter.

👉 Reliability does
👉 Speed does
👉 Output quality does

So I filtered everything out.

And kept only what I actually use daily across my workflows.

No hype.
No “Top 50 tools” fluff.
No trend-chasing.

Just a tight stack
organised by what you’re trying to get done:

▶ build
▶ create
▶ automate
▶ think

If you’re serious about using AI to produce, not just consume…

This is the only list you need going into 2026.

Steal the stack.

A Better way to write prompts

A better way to write prompts

Stop writing 500-word prompts that don't work.

Comment "AI" if you want my prompt library, infographics, and AI guides.

💾 Save this so you can prompt better.

This is a must-do for every professional business coach, entrepreneur, and freelancer who hopes to get results with LinkedIn

Open your LinkedIn profile right now. I'm going to walk you through exactly what to check and what to fix. Ready?

15 minutes. That's all this takes. And by the end, your profile will be doing more work for you than it did all of last year.

Step one. Look at your profile photo. Is it a clear headshot with good lighting and a friendly face? Not a wedding photo. Not a group photo cropped to your face.

Not a selfie from 2019. A clean, professional photo where someone can see your eyes. If yours doesn't pass that test, replace it. This is the first thing anyone sees.

Step two. Check your banner. Is it the default grey LinkedIn banner? If yes, you've already lost. Your banner should have your name, what you do, and a way to reach you.

Open Canva, search "LinkedIn banner," pick a template, and customize it with your brand colors. Done in 15 minutes.

Step three. Read your headline out loud. Does it say "Marketing Manager at XYZ" or "Virtual Assistant"? That's a job title, not a headline.

A real headline tells me what you do for people. "I help coaches build platforms that sell courses on autopilot." That's a headline. Rewrite yours so it answers, "What do you do for someone like me?"

Step four. Open your About section. Is it three paragraphs about your "passion for excellence" and "results-driven approach"? Delete it.

Your About section should start with one sentence about who you help. Then explain how. Then list a few wins. Then end with a clear call-to-action telling people how to work with you. Make it human. Make it specific.

Step five. Scroll through your Featured section. Is there anything there? If not, add three things right now. A recent post that did well. A link to your website. A case study or testimonial. The Featured section is prime real estate. Don't waste it.

Step six. Check your Experience section. Are your job descriptions just bullet points of duties? Rewrite the most recent ones to focus on results, not tasks.

"Managed social media" is a task. "Grew the brand's Instagram from 2,000 to 50,000 followers in 6 months" is a result. Always lead with the result.

Step seven. Look at your skills section. Are your top three skills the most relevant to what you want to be hired for? If "Microsoft Word" is in your top three, drag it down. Replace it with the skills that match your headline.

Step eight. Check your activity feed. When did you last post? If the answer is "three months ago," that's a problem. A profile with no activity looks abandoned. Aim for at least three posts a week. Even a comment on someone else's post counts as activity.

Step nine. Open your contact info. Is there a way for someone to reach you outside LinkedIn? Add your email. Add your website. Add your phone if you're comfortable with it. Make it easy for people to find you.

That's the audit. Nine steps. 15 minutes. Done properly, this is the difference between a profile people scroll past and a profile that opens doors.

— Elvis W.

People keep asking which AI wins, but the best users don't see it as a competition. They build small stacks, Perplexity for sourcing, Claude for depth, ChatGPT for output, and each one does what it's built for.

Best AI Tools in 2026: A Comparative Guide

𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆.
𝗚𝗲𝘁 𝘁𝗵𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘀𝗺𝗮𝗿𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗿𝗲𝗮𝗱.
𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 𝗻𝗼𝘄 → royaltrainingcollege.com

Original post:
__________

Most people are asking the wrong question in 2026.
They ask: “Which AI tool is the best?”
But the real question is: “Which AI tool is best for what?”

Because we are no longer in the era of one AI doing everything. We are in the era of AI ecosystems — where each AI has a specific strength, and the smartest professionals are the ones who know which AI to use, when to use it, and why to use it.

Let’s break this down in a practical way.

1. ChatGPT – Best for reasoning, strategy, structured thinking, content, teaching, business planning, and complex problem-solving. If you need an AI that thinks, explains, writes, and helps you make decisions — this is your brain partner.

2. Gemini – Best for people who live inside the Google ecosystem. Docs, Sheets, Gmail, YouTube, Drive — Gemini connects everything and works like a productivity engine across your digital life.

3. Claude – Best for deep research, long documents, reports, book writing, policy analysis, and detailed structured content. If ChatGPT is a strategist, Claude is a deep researcher.

4. Grok – Best for real-time information, market trends, social sentiment, and live data analysis. Very useful for finance, geopolitics, and trend tracking.

5. DeepSeek – Best for coding, mathematics, technical architecture, and complex logical problem-solving. Engineers and technical architects benefit the most from this.

6. Perplexity – Best for research with sources. If you want verified information, citations, and fact-based answers, Perplexity works like an AI-powered research engine.

Now here’s the most important learning:

The people who will win in the next 5 years are not the ones who know AI.
They are the ones who know how to use multiple AIs together.

For example:

🔹️Use Perplexity for research
🔸️Use Claude for deep analysis
🔹️Use ChatGPT for strategy and content
🔸️Use Gemini for workflow automation
🔹️Use DeepSeek for technical ex*****on
🔸️Use Grok for real-time insights

This is called AI Stacking — and this will become one of the most important digital skills of this decade.

In 2026, AI is not a tool anymore.
It is a career accelerator, business multiplier, and intelligence amplifier.

And the biggest mistake you can make right now is using AI casually instead of using it strategically.

✅️ Don’t just ask AI questions.
✅️ Build systems with AI.
✅️ Build workflows with AI.
✅️ Build your personal brand with AI.
✅️ Build your knowledge with AI.
✅️ Build your income with AI.

The future will not be divided by people who use AI and people who don’t.
The future will be divided by people who use AI randomly and people who use AI strategically.

Choose wisely. 💫

Credit to Ravi Samrat Mishra. Follow him for more.

Shared from Elvis
Two years ago, building a website meant crying in front of a laptop at 2 AM wondering why a missing semicolon just broke your entire project.
Today, I describe what I want in plain English and watch it appear on my screen like magic.
That's vibe coding. And it's not abracadabra.
It's a movement. It's the reason 100 people signed up for my bootcamp in one week.
Let me explain what it actually means.
Vibe coding is the new way of building software. Instead of memorizing syntax, debugging semicolons, and watching 40-hour YouTube tutorials before you can build a simple login page, you describe what you want in plain English and AI builds it with you.
You're not writing code line by line. You're directing the build. Like a film director who doesn't operate the camera but knows exactly what the shot should look like.
The "vibe" part is intentional. It means you focus on the feel, the flow, and the outcome instead of the technical plumbing.
You say "I want a landing page with a course catalog, student login, and M-Pesa checkout" and the tools build it. You refine. You test. You ship.
But let me be clear about what vibe coding is not.
It is not lazy coding. You still need to understand what you're building.
You still need to know how databases work, how authentication flows, how payments connect.
The tools handle the how. You handle the what and the why. If you skip the thinking, you end up with a beautiful mess that falls apart the moment real users log in.
It is not replacing developers. It is replacing the slow, manual parts of development that used to take weeks.
The thinking, architecting, and problem-solving are still human jobs. Nobody is automating that.
It is not magic. It's a skill. You learn how to prompt well. You learn how to review what the AI builds. You learn how to catch mistakes before they ship.
Vibe coding done badly is worse than no coding at all. Vibe coding done well is the fastest way to build real products in 2026.
Why is it important?
Because for the first time in history, the barrier to building software is gone.
You don't need a computer science degree. You don't need to pay a developer KES 300,000.
You don't need three months of sprint planning meetings. You need a laptop, an idea, and the willingness to learn.
That's why 100 people signed up for the Vibe Coding Bootcamp. They saw the shift. They refused to be left behind.
If you've been sitting on an idea waiting for the "right time" to build it, this is the right time. The tools exist. The knowledge is available. The only thing missing is you.

We wish you a Happy Easter

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