---
title: "AI can get you there faster…"
url: "https://bravr.ai/blog/ai-can-get-you-there-faster"
---

# AI can get you there faster…

## … as long as you know where “there” is

By adilla 2 July 2026 AI

**Key Takeaways**

*   AI is here to stay, so the real choice is to embrace it or ignore it.
*   AI is only as good as the information, context and standards you give it.
*   If you can't do the job yourself, you probably shouldn't ask AI to do it.
*   The real risk is AI that looks polished on the surface but fails on substance.
*   Used well, AI raises standards, it doesn't replace the skills behind them.
*   AI can make you faster, but making you better is still down to you.

AI has been a hot topic in Bravr team meetings over the last ten years. As the proud “non-geek” of the team, I tend to take a much less hands-on approach to the use of AI; I’m happy to dabble in ways it can make me more efficient while, at the other end of the AI spectrum, Shah has a whole team of finely tuned agents who support him to do the job of five people.

One thing that we do know is that AI is most definitely here to stay, so we’ve got two broad choices: embrace it or ignore it. As I’ve slowly come to embrace it, I’ve learned that AI isn’t a magical panacea that will cure all organisational problems, and nor is it a quick fix.

I absolutely believe that AI could and should be used to make us better at our jobs and our studies. There was probably a time when online research was considered cheating compared to manually trawling through reference books, but by 2006, “to google” became a verb in the English dictionary. On one side, some argued that search engines offered shallow information and moved scholars away from the rigorous vetting that they thought could only come from books. The other side of that argument was the incredible speed with which scholars could access information across disciplines. Sound familiar?

### The quality of AI outputs depends on the team or individual inputting the data

I’ve seen a full circle with regard to AI. At first, clients were keen to use AI content because it was cheap and quick (and who doesn’t love cheap and quick?). However, it wasn’t long before those clients realised that their AI content just wasn’t getting the traction that well-written human content could deliver, so they slowly returned with the recognition that quality nearly always beats quantity.

For me it’s simple: if you can’t write that blog or that piece of code, or design the image, then you probably shouldn’t ask AI to do it. That’s because AI is as good as the information it’s given, so if you don’t have enough expertise to give the exact information that you need to, then the output won’t have the level of professionalism or skill that you need. What’s more, if AI finds gaps it won’t ask you to fill them in, it’ll make the information up itself.

Once your AI content is created, you’ll need to check it thoroughly; to pick up incorrect information or hallucinations, you’ll need industry-specific knowledge, and you’ll also need some writing experience to be able to assess the quality of the content and spot those all-important AI markers.

⚡

If you can't write that blog or that piece of code, or design the image, then you probably shouldn't ask AI to do it.

At school, students are still taught and tested on mental arithmetic, even though our calculator app is never far away. If you don’t understand the basics of maths, a calculator can still lead you confidently towards the wrong answer. Likewise, if you blindly follow your maps app through roads, you could end up in completely the wrong destination with no idea how you got there. When you’re relying on any kind of artificial intelligence, from your map app to a platform that will write a whole blog, you need enough knowledge to know where it’s taking you, and where it may have taken a wrong turn.

AI works in the same way; it can get you there faster, but you still need to know where “there” is. If you’re using AI to write a customer email, you need to know what a brilliant customer email looks like. If you’re using it to create a blog, you need to understand tone, structure, audience, intent, accuracy, and brand voice. And if you’re using it to code, you need to know whether the code is robust or whether it’s the digital equivalent of a wardrobe held together with one screw and a prayer.

AI is only as good as the information you give it, the context you provide, and the standard you hold it to. Vague instructions and half-formed thinking usually produce work that looks polished at first glance but falls apart under closer inspection.

### The real problem with AI

The real problem with AI is that it’s now advanced to a point where it looks good on the surface. This makes it far more dangerous to your reputation than the formulaic content that most of us can spot a mile off. The risk arises when AI produces content that sounds plausible and delivers in terms of tone, grammar and syntax, but completely fails in terms of substance.

AI content is a bit like fake designer goods: the people most likely to be impressed are the people who don’t know the real thing well enough to spot the difference. Someone who knows watches can spot a fake Breitling, and someone who knows handbags can spot a fake Birkin. Similarly, someone who knows their industry and what good content looks like can spot work that has been assembled rather than properly thought through.

⚠️

AI content is a bit like fake designer goods: the people most likely to be impressed are the people who don't know the real thing well enough to spot the difference.

### It’s not all bad…

It may not sound like it, but I’m actually a fan of AI, when it’s used in the right way. In the hands of an expert, AI can be incredibly useful; it can help you organise your thoughts, explore different angles, speed up research, summarise complex information, repurpose content, and get past the dreaded blank page. Sometimes getting started is the hardest bit, and AI can act as a great sounding board, a brainstorm buddy, or first-draft assistant; it can also be a useful challenger when you’re stuck. However, it still needs a skilled human being to direct, edit, fact-check it, before deciding whether the final result is good enough to put in front of real people.

We need to stop with the AI shaming; using AI isn’t cheating. It’s a tool, and we need to learn to see it that way and use it to our advantage. The conversation about AI needs to move away from whether people \*should\* use it and towards \*how\* and \*how well\* they are using it. AI should raise standards, not lower them, by helping capable people do better work more efficiently, not flood the internet with more average content written for the lowest common denominator.

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AI should raise standards, not lower them.

I’ve worked with Bravr for over 15 years and a lot has changed in that time! But something that hasn’t changed is that we care about quality because our clients’ customers care about quality. Your consumer may not always be able to explain exactly why one piece of content builds trust and another doesn’t, but they can feel the difference in the tone, the nuance, and the rhythm of content, and part of that is because we get to really know our clients and their customers. They know when something sounds thin, and when an article hasn’t really answered a question other than to cram in a load of keywords.

That’s why, if you don’t have the skills and experience to confidently do a job yourself, you probably shouldn’t be asking AI to do it. The skills that we’ve developed over nearly two decades of working with clients can’t be replaced by a machine. AI can support all them and it can most definitely magnify them, but it can’t replace the need to develop them in the first place.

In some ways, using AI well is like being a senior leader. You don’t necessarily need to be the best person in the room at every task, but you do need to know enough to set direction, give the right information, set the tone, recognise quality, and spot the weaknesses. If you delegate something you don’t understand at all, whether to a person or to a machine, you’re essentially hoping for the best without really knowing what that might look like.

So before you throw something AI generated out there for your customers, pause and consider whether you’re really sure of its quality, because AI can make you faster, but it won’t automatically make you better: that part is still down to you.

## Want AI used the right way?

We help you use AI to raise standards, not lower them, so your content keeps the quality your customers can feel.

[Talk to Bravr](/contact/)

![adilla](https://pub-6c144b0511ce4cd19e4e31ebc19da3ef.r2.dev/wp-content/uploads/2022/10/cropped-Adilla-Allebone-Parish.jpeg)

#### adilla

[](https://www.linkedin.com/in/adilla-allebone-parish/)

Content Expert and Digital Marketing Specialist

Content creation · Storytelling · Content Strategy

Adilla has worked for Bravr for more than 15 years, working with clients to understand their voice and bring their brand to life online. She has in-depth experience writing across a range of sectors, including healthcare, HR, and leadership. As well as leading content strategy and creation for Bravr, Adilla works in Operations and Development within the charity sector. She studied English and Psychology to diploma level, has a post-graduate diploma in Strategic Leadership and Management, and is currently completing her MBA.

I live in Devon with my husband, 2 children and 3 dogs. When I’m not working or studying, you’ll usually find me walking or running.

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