Going to 200% (and 3 examples)

AI makes it possible to take a single task further than a pure and simple 100%.

This is the first of two paid AI Artistry posts each month—alongside two free posts (instead of four) where I’ll continue diving into practical AI for individuals and creators. For my free subscribers, don’t fret as I’m also going to start peppering in free posts around what I’m reading about practical AI (and reaction) to help you make sense of where AI for professionals is heading.

In other news—I’ve just launched AI Artistry Consulting! I’m now offering group trainings, team workshops, and one-on-one coaching to help professionals and teams improve their use of AI. If you or your team want to take the next step, visit aiartistry.io (or reach out to contact@aiartistry.io).

Now, let’s get into today’s post—a deep dive for paid subscribers. PS: If you’re a free subscriber, you can claim your paid post for this month. Thanks for reading!

---

More often than not, I look at AI through the lens of a human counterpart. A collaborator who has a similar set of bounds to a human colleague, where I get a little more manpower than a single Dave could output.

But there are a handful of use cases I’ve found where AI brings wild non-human leaps in my ability to complete a task or objective. Where it can help me accomplish something that would be completely irrational when viewed relative to human capacity.

One of those things is how adding AI to a process can take us to 200% output.

---

Key Takeaways

• If you provide AI with the right context, you can generate far more than a single output (like a sales email or job description)

• AI can multiply our creative output across different forms of content OR different audiences (provided they rely on similar contexts, e.g. audience and product details)

• The enhanced value comes in simultaneously drafting multiple (and I mean a lot of) versions where we’d traditionally be more time-restricted

---

Imagine I’m developing a marketing campaign. In that campaign I want to start by creating a sales email. I’d, of course, enlist AI with this drafting process, within which I’d input some important context specific to my company, my product, etc. In this post, we’re going to look at how, given that context, we can ask AI for a helluva lot more than a single sales email.

In fact, we can ask for a crazy amount more (at least in terms of our capacity without AI).

The beauty in shared context

The linchpin of it all is this: If you have the context, you can draft the output. So let’s list the context we’d need to create an effective sales email:

• Product data: Offer details, value proposition, features

• Audience profile: Behavioral, psychological and/or demographic characteristics

• Brand guidelines: Written guidelines, style descriptions

What other possible content is informed by those same bits of context? If you’re thinking ahead, you’ve probably already listed out a handful of content types in sales and marketing alone. Don’t forget support comms, internal messaging, etc.

The takeaway here is we can prompt AI, provide all of that context, and not only draft that sales email but also create 10 other pieces of content simultaneously. That’s what I mean by 200% (but I could argue that this could take us to 300%, 400%, etc.).

Two ways to get to 200%

To keep going with our sales email example, there are a couple ways to think about how AI can extend our output beyond the theoretical 100%. Thereby giving us multiple avenues to achieve a previously unrealized level of output. We can:

1. Think about as many content types (other than a sales email) that use the same contextual info

2. Think about as many unique audiences or segments that we can cater our sales email to

Think about as many content types as possible

We can get pretty exhaustive with this actually. In fact, I went and asked ChatGPT to help me brainstorm all of the types of content that are informed by product data, brand guidelines, and an audience profile. You can find that prompt below.

I ended up with over ten that I’d give a puncher’s chance to create an adequate first draft.¹ A single well-crafted email can also spin into cold outreach messages, sales one-pagers, and even objection-handling scripts. Beyond sales, it can power SEO-rich blog outlines, evergreen articles, and snackable content like social media posts and short-form video scripts. I removed a handful of other suggestions, like customer testimonials and video content, from the list as doing them effectively would require greater context.

Think about your unique audiences

Another way to extend our output is by tailoring our sales email for different audience segments. A single message written for one broad group might be functional, but AI lets us quickly adjust tone and messaging to better resonate with different segments.

For example, a sales email might speak differently to:

• enterprise decision-makers

• small business owners

• freelancers

By thinking about the ways we segment our audience, we can simultaneously create variations of the same core message using the same shared context. And suddenly, instead of just one email, we’ve got a suite of emails that better connect with different people.

---

This is all about drafting

As with all generative AI (and writing in general), don’t expect final versions. What we’re powering through is the first drafts. And if we hate the first drafts, we can regenerate the second. Or the third. Throughout this process, we can also pick and choose which types of content (or versions) are working for us. Like when we wrote about the Redo Effect a few weeks ago.

If you keep reading, you’ll find some prompts that exemplify how that will look. These examples include:

1. Writing a sales email → Creating an entire marketing & sales suite

2. Writing a job description → Creating an entire hiring toolkit

3. Writing a research summary → Creating an entire educational series