AI is coming for your job unless you arm yourself with the right skills. Here is a clear guide to learning AI, from complete beginner to advanced level. 1. Generative AI Literacy If you don’t yet understand what generative AI is, and how it works, start here. Gen AI is everywhere now (emails, images, videos, chatbots). Google’s AI Essentials course is a good place to start. Checkout Grow with Google. 2. Prompt Engineering Prompting is the language of AI models. Master prompting and you’re ahead of 98% of people. Remember two frameworks you can use when constructing your prompts: TCR EI → Task, Context, References, Evaluate, Iterate RSTI → Role, Steps, Tone, Input Good prompting unlocks every other AI tool. It’s the swiss army knife of mastering AI. 3. Specialized AI Tools You don’t need to know a tonne of tools. Pick one general chatbot (ChatGPT, Claude, Gemini, Perplexity) and go deep. Must have capabilities: • Answer questions & analyze images/data • Research & personalized news • Supercharge learning • Build slides/dashboards/simple apps 4. AI Agents Companies are building tailored agents (retention, reporting, etc.) that integrate into existing workflows. Learn to building custom AI agents with no-code or code frameworks (n8n, make, etc). This is one way to stand out in your current job because of the huge demand internally freelance. 5. Open-source AI Closed-source models like OpenAI's GPTs, and Google's Gemini dominated… until Chinese open-source models (DeepSeek, Qwen) matched performance. Open-source models are cheaper, provide full control, customizable, no vendor lock-in, auditable (key for finance, healthcare and law enforcement). This year will see massive shift to open-source. Western companies will open-source more too. Lower cost more innovation for everyone. Learn how to deploy them. 6. AI-Assisted Coding (“Vibe Coding”) Anyone can build products now. Describe what you want → AI builds it. Tweak → ship. Consider Claude code, Copilot and Cursor. You may not be able to learn how to build world class scalable apps, but learn to build micro apps and tools that improve your productivity. Start small, practice daily, and compound your skills. The future belongs to those who adapt now. Arm yourself with AI. Your job (and career) depends on it.

“There is no societal permission for an AI future that hollows out entire industries” A balanced take on AI and the future.

The way AI engineers build is changing from prompt engineering to loop engineering. In prompt engineering, you type a prompt, the agent responds, you review it, you prompt again. You are the loop! Loop engineering is building a small system that figures out the task, hands it to the agent, checks the result, records what happened, and decides the next move all on its own. The major constraint is token cost because Loops re-read context, retry, and explore, which burns a lot of tokens.

Unpopular opinion: "AI makes everyone a developer" is true the same way "cameras makes everyone a photographer"

Introducing Perplexity Computer. Computer unifies every current AI capability into one system. It can research, design, code, deploy, and manage any project end-to-end.

This here ladies and gentlemen is the real modern warfare

Is this an attempt to catch up with OpenClaw? Anthropic already tried with Claude Cowork, and now OpenAI is also trying. Interesting times ahead

I tried out OpenClaw (Clawdbot, moltbot) and compared it with Claude Cowork. My personal take: one is your all round 24/7 errand boy, while the other is a polished desk worker. If you’ve been wondering what the buzz is about, here is a summary👇 Clawdbot, moltbot, and OpenClaw are basically the same project with different names over a very short, chaotic few weeks in early 2026. It's an open-source AI agent/personal assistant. The core idea is simple but powerful: - runs locally on your computer - connects to LLMs APIs - you talk to it through apps you already use: Telegram, WhatsApp, Discord, etc. - unlike normal chatbots, it can actually do things on your computer like open browsers, click around, read/write files, run apps and terminal commands, automate workflows. While Claude cowork is an official Anthropic product. It’s not open-source. It's the "non-coding" evolution of Claude code, same agentic engine, but wrapped in a friendly GUI inside the Claude desktop app. Both products are powerful use cases of using LLMs to build highly impactful AI tools. We’re still early into 2026, can’t wait to see how they both evolve.

Not every problem needs the biggest AI model available. 
Sometimes a small model will do the job better, cheaper, and without complexities. Using AI well is about judgement, not hype.

git clone = Make I copy this repo come my side. git pull = Abeg bring the latest gist. git push = I don update am, take am back. git commit = Oya, lock this change make e no loss. git status = Wetin really dey sup here? git checkout = Shift make I enter another lane.

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Classism in Nigeria is just poverty with a microphone..

There’s a personal vendetta against trees in Abuja. Something needs to be done about it. It took decades for these trees to grow, they have immense benefits to the environment. Can’t they plan around the trees??? Ahhh 😌

Of course, Ezemmou is a man of modest income😂

$1 million dollar prizes aside, I think there's been a quiet hunger for articles. The pendulum swung too far in the direction of TikTok and endless scrolling and the internet has a chance to self-correct. I don't think the human brain was meant to be ripped in a thousand different directions as soon as you get on your phone. Too much chaos that has downstream affects on the quality of everyday life. Long form content allows you to focus on set of ideas. It brings order to the mind. You learn more, you feel better, and usually you're left with something you can actually apply to your life, even if it's just a better way of thinking. Especially with AI, we've gotten to the point where we think we want things as short as possible. We have this deranged desire to "get to the point" when the point is to sit with it. You can collect all of the tips and tricks you want but you're completely missing the context that allows you to turn those tips into results. A bullet list of actionable steps will do absolutely nothing for you. Pre-2015 books are the best option, but articles are a great step in what I think is the right direction.

I was featured on Fisayo’s first video of the year😊 Here’s your clue to take AI seriously. Without #FudaAdo watch the video youtu.be/XFRF5nycJHg

NEW VIDEO: My Honest Advice on Money in 2026 #AskFisayo GO WATCH: youtu.be/XFRF5nycJHg Reposts Appreciated 🙌🏾

Fintech companies that stay long enough in the game eventually graduate to obtain MFB license. Hopefully this will help with the troubles they’ve had with CBN over Zap.