Hey friends,
Over the past few months, I’ve noticed something shifting in how I work. Not in a dramatic way, but in small, almost invisible changes that have compounded into something much bigger.
Tasks I used to accept as part of everyday business have started to disappear.
Not because someone else is doing them. But because AI tools now quietly handle them in the background.
What surprised me most was how accessible these tools are. You don’t need to code. You don’t need a technical background. You only need to understand what’s possible.
Let me share some of the tools that have reshaped my own workflow.
The inbox that sorts itself
Email is one of the biggest silent time drains in business. It looks harmless, but it steals hours across a week without us noticing.
One tool that has completely changed how I handle email is Fyxer AI.
It integrates with Gmail and Outlook, reads every message, labels it based on what matters, writes drafts for the emails I actually need to respond to, and checks my calendar so meeting suggestions are already prepared.
The tone feels natural because it learns from the way I write. And every time I make a small change, it adapts.
It doesn’t store your data on its servers, but you should always get approval if you’re using it for work accounts. For smaller teams, reviewing the tool’s privacy policy with ChatGPT is a simple way to check for red flags.
It’s one of those tools that gives you back hours without you even realising it.
Automation has become something anyone can do
Tools like Make.com, n8n and Zapier existed long before AI became mainstream. They were created to connect systems — CRMs, email platforms, accounting tools, file storage and so on.
What has changed is what happens inside those automations.
These platforms now let you add modules powered by ChatGPT, Claude or Perplexity. This means the automations can evaluate context, personalise messages, rewrite content, prioritise tasks and make decisions automatically.
And all of this can be built visually, without writing a single line of code.
For organisations that care deeply about data protection, n8n can even run on your own server so everything stays local rather than in US-based systems.
For smaller teams, a simple option is to hire a freelancer on Upwork or engage an automation agency for a few weeks to build the workflows for you. It’s far more affordable than building full software.
Research has become instant
One tool that has become essential in my daily work is Perplexity.
Unlike traditional models trained on static data, Perplexity searches the entire internet in real time. Whether you’re comparing suppliers, fixing a technical issue, researching a product, exploring a market or watching stocks, the accuracy and speed are on a different level.
It can also produce deep research, comparisons and dashboards through Perplexity Labs. And with the Comet browser, it can even look at your screen and perform actions for you.
Once you experience this, manual research starts to feel outdated.
Presentations and documents no longer take days
There was a time when creating a presentation meant hours of formatting and rewriting.
Today, Gamma can generate full slide decks from a single prompt, follow your brand guidelines, create visuals and even produce white papers or social content. If you use Microsoft, PowerPoint Copilot can turn your documents into presentations instantly.
This doesn’t replace the strategic thinking behind a narrative, but it removes the heavy lifting.
Creativity has a new engine
Some of the biggest leaps in AI right now are in image and video generation.
Nano Banana, Google’s imaging model, is one of the most impressive tools I’ve used. It can turn a 2D plan into a 3D render, reimagine packaging, create ad concepts, visualise products in new environments, and even add elements to an existing photo without recreating it.
When you pair a still image with VEO 3, Google’s video generation tool, you can animate visuals and produce short videos that feel professionally created.
For creatives, marketers and founders, this dramatically speeds up the conceptual phase. You still need designers for refinement, but you can get clarity on ideas far earlier.
Higgsfield is another platform that allows you to test different image and video models in one place.
When you’re not sure what tool exists
There’s even a platform called There’s an AI for That, which helps you find the right AI tool for any problem. And if that feels overwhelming, asking Perplexity to evaluate tools based on real user reviews is often the simplest place to start.
A new role is emerging inside organisations
The impact of these tools doesn’t end with efficiency. It is creating an entirely new opportunity — one most people haven’t recognised yet.
As more organisations adopt these tools, someone will need to manage the automations, refine them, improve them and make sure they run correctly. This role is already beginning to take shape — an internal AI automation expert or orchestrator.
In the US, teenagers are earning significant income running simple automation agencies. And companies are starting to realise they will need this skill set in-house.
If you’re a student, someone early in your career, or someone looking for a new path, this is becoming one of the most promising opportunities of the decade. The barrier to entry is low, the demand is growing and the tools are accessible to everyone.
A shift in what work looks like
What all of this shows is that AI is no longer something reserved for technical people. It has moved into everyday business, into the simple tasks we once considered unavoidable.
But the real change begins with something small: choosing one task you no longer want to do and letting a tool take over.
Most tools start free. Most are easy to learn. And if you’re not sure where to begin, I’ve curated a list of more than 50 tools inside the Dumb Monkey AI Academy — the same ones I rely on across my own workflow. Explore a few, try one, and let the momentum build from there.
And each one gives you back a little more time for the work that actually matters.
— Aamir
Resources & Links
🎧 Listen to the Podcast Episode 10 on: Spotify, Apple Podcasts
📺 Watch the Podcast Episode 10 on YouTube
📘Read Aamir's book (an AI playbook disguised as fiction for easier readability): The CEO Who Mocked AI (Until It Made Him Millions)
🚀 Join this FREE AI Learning Community: Dumb Monkey AI Academy