AI for personal productivity is everywhere right now. Tools, hacks, prompts, automation workflows – all promising to make you faster, smarter, and more efficient. The reality is a bit less glamorous.

I’ve been using AI consistently as a founder, running business development, marketing, and client delivery largely on my own. Without it, I would be slower, more stretched, and frankly less effective. With it, I’m not suddenly operating at some superhuman level. I’m just better. More consistent. More productive. Good enough – and in business, that’s often exactly what you need.

This is not about fancy automation or perfect systems. This is how I actually use AI day-to-day, where it helps, where it doesn’t, and where it can catch you out.

AI as an accelerator, not a replacement

AI is my accelerator. It takes what I’m already doing and helps me do it faster and with more structure. It doesn’t replace thinking, and it doesn’t replace accountability. If anything, it makes both more important.

I don’t rely on complex automation setups. I use AI for fast responses, structuring thoughts, processing information into something usable, and pushing ideas forward when I would otherwise stall.

I’m good at thinking. I’m not fast at writing. AI bridges that gap. It takes the raw thinking and helps shape it into something clearer and more usable. It raises the baseline where I’m weaker and sharpens the areas where I’m already strong.

That’s the real value. Not transformation. Acceleration.

Where I actually use AI in my work

The first place is writing. Blogs, articles, talks – including this one. I don’t ask AI to write from scratch. I draft. I get the ideas out in my words, usually messy and unstructured. Then I ask AI to fix grammar, spelling, and flow without changing the meaning.

I also ask it to critique the content. That part is underrated. Getting structured feedback quickly helps me improve how I communicate, not just what I produce. Over time, that compounds.

Meeting notes are another big one. There are tools that integrate directly into calls, which are useful. But I tend to take transcripts and process them through a structured prompt. I get summaries, actions, and outputs formatted in a way I can use immediately, including for CRM updates.

I take it further by asking AI to review my own performance in the meeting. It almost always gives me an eight out of ten, which is suspiciously consistent, but the qualitative feedback is useful. It highlights where I can be sharper, clearer, or more direct.

Proposals are where AI saves serious time. I use a defined template and structured prompts to generate and refine content. If you’re in business development and not using AI here, you’re making life harder than it needs to be.

But this is also where AI can cause damage. It will make things up. Confidently. If you don’t control it, you will end up with content that sounds good but is wrong. That’s not a small issue. That’s credibility on the line. So everything gets checked. Every time.

Research is another practical use. Before calls, I use AI to pull together context on businesses and individuals. It’s not perfect, but it gives me a starting point quickly. From there, I refine and validate.

I also use it to structure data. Lists, contacts, ideas – turning unstructured information into something I can actually work with. That alone saves hours.

And then there’s content planning. I have a structured social media plan that would be difficult to maintain without AI. It helps me generate ideas, align content to what I’m doing in real time, and keep everything connected. It removes the friction of starting from zero every time.

Where AI goes wrong and why that matters

AI gets things wrong. Regularly. That’s not a flaw. That’s the reality of how it works.

And when it gets things wrong, it’s still your fault.

That’s the bit people underestimate. AI is not accountable. You are. If something is incorrect, misleading, or just badly judged, your name is on it.

I had a very real reminder of that recently. I used AI to help structure a Relentica newsletter. It cleaned things up, improved the flow – and quietly removed a first name. A simple mistake, but a visible one. It looked careless. It was a mess.

That wasn’t an AI problem. That was my problem for not checking it properly.

AI will always try to give you an answer. It wants to be helpful. That means it will sometimes fill gaps with assumptions or completely fabricated details. If you don’t control for that, you will get caught out.

The reality of how people are using AI

When I speak to people about AI for personal productivity, the responses are all over the place.

Some people rely on it too heavily. They outsource thinking and lose control of the output. Others barely use it at all because they don’t understand what it can do. And then there’s a group that is cautious or even fearful of it.

All of those reactions can exist at the same time, even within the same person.

The reality is simpler. AI is just a tool. A very powerful one, but still a tool. Like a hammer, a saw, and a drill in one. It can help you build faster, but it can also cause damage if you use it badly.

And like any tool, it requires skill, judgement, and consistency.

What actually matters when using AI

The biggest thing AI does not give you is common sense. It doesn’t give you discipline. It doesn’t give you judgement.

You bring that.

You need to explore it properly. Test it. Push it. Understand where it works and where it doesn’t. That takes time.

You also need to avoid falling into the trap of being busy with AI rather than productive. It is very easy to spend time tweaking, refining, and iterating without actually moving anything forward. Done is better than perfect.

You need to evolve how you use it. When something works, build on it. Refine it. Make it part of how you operate, not a one-off experiment.

And you need to check everything. Always. AI is not accountable. You are.

There’s also a more subtle risk. AI is always available. It’s fast, responsive, and useful. That makes it very easy to overuse. To keep going. To keep pushing. That’s not always a good thing.

Sometimes the right move is to stop.

Final thought

So now you know all my secrets – and I’m sure you have your own too.

AI has made me faster. It has made me more consistent. It has made parts of my work more enjoyable, especially the areas I used to avoid.

But it hasn’t replaced thinking. It hasn’t removed responsibility. And it hasn’t made the work disappear.

It’s just a tool.

A very good one.

Use it well.