AI Guidelines for The Smart and Creative Marketer

AI is officially part of marketing life now. It drafts emails before your coffee’s ready, spins out ad variants at scale, and turns one blog into a week of content. That speed is real, and it’s not going away.

But if you’ve used AI in a real marketing team, you’ve also seen the other side: it generates content that sounds true. One sneaky over-claim, one vague benefit, one made-up stat, and suddenly you’re in trust-debt territory. Legal flags it. Approvals slow down. Customers feel the oversell. Your “speed win” becomes a cleanup job.

So no, the answer isn’t “use AI less.” The answer is: use AI smartly, with your judgment in the driver’s seat.

The Lunim rule: AI drafts. Humans decide.

Think of AI like your super-fast intern. Helpful, tireless… and occasionally too confident.

Lunim’s principle is simple:

AI does the heavy work. You own the truth, nuance, and creative edge.

That human refinement step? That’s where great marketing actually lives.

Three moves that keep you fast and credible

You don’t need a 40-page governance doc to stay safe. You need three tight habits:

1. C.L.E.A.R. – how you brief the AI
2. C.R.E.A.T.E. – where you put in the human work
3. R.A.I.S.E. – how you sanity-check before you ship

Most people stop at step 1. The advantage comes from what you do in step 2 and how seriously you take step 3.

1) C.L.E.A.R. prompting - 1 minute that saves hours

Paste this at the top of any prompt:

• Context: who this is for, the goal, channel, voice
• Limits: no invented facts, no wild promises
• Ethics note: flag shaky claims, use inclusive language
• Acceptance criteria: what must be true for this to be usable?
• Review path: e.g., “If you introduce any new stats or performance claims, label them [Needs evidence] and don’t present them as facts.”

What you get back is instantly more on-brand and evidence-friendly. You’re telling the model where the guardrails are before it starts improvising.

These days, anyone can do this step. That’s why the next one matters.

2) C.R.E.A.T.E. - You put the human work in

What happens between a decent AI draft and final sign-off?

For content to get noticed, it needs to be remarkable. In a world where everyone can use AI and write a C.L.E.A.R. prompt, what makes content remarkable is what you do now.

Use the draft as raw material, then C.R.E.A.T.E.:

• C – Choose the angle: What’s the sharpest, most honest promise here?
• R – Rough out the structure: Reorder sections so the story actually flows.
• E – Enrich with examples: Add real customer stories, specific use cases, proof points.
• A – Add brand voice: Swap generic phrasing for how your brand really talks.
• T – Trim the fluff: Cut clichés, filler, and any line that could belong to any competitor.
• E – Elevate the details: Punch up hooks, subject lines, CTAs, and transitions.

Some of this happens in your own doc. Some of it can (and should) happen in further chats with the AI:

• “Give me 5 alternative hooks that play on the double meaning of ‘reports that write themselves.’”
• “Rewrite this paragraph to sound more grounded and less hypey.”
• “Offer 3 versions of this Call To Action: one bold, one pragmatic, one playful.”

In short:

Step 1 gets you a competent draft. Step 2 is where you make it yours.

3) R.A.I.S.E. review - 10 minutes before you ship

Now you’ve got something that feels strong. Before it goes anywhere near customers (or legal), run a quick R.A.I.S.E. check:

• Real: Can you back the claim? Kill or qualify anything you can’t support.
• Aligned: Does it sound like your brand on a good day?
• Inclusive: Does it work for different audiences? Any lazy stereotypes or exclusionary phrasing?
• Safe: Any risky promises, sensitive data, or compliance red flags?
• Evidenced: Are qualifiers in place where needed (“typically,” “can help,” “in our tests…”)?

Do it in two passes: first for tone, second for truth. It’s fast, and it catches the stuff that causes approval drag later.

What this looks like in real work

When prompts are vague, AI fills the gaps, and trust pays the price.

Under deadline pressure, a lot of teams throw something like this into ChatGPT:

“Write a launch email about our new Auto-Reports feature. Make it exciting and convincing. Tell marketers it will save them a lot of time and boost performance. Keep it short and high-impact.”

It looks harmless, but it’s missing everything AI needs to stay grounded. No audience detail. No approved facts. No guardrails on claims. No definition of what “good” means.

So, the model does what models do: it improvises. You get something polished and risky:

“Auto-Reports is the #1 AI reporting feature marketers have been waiting for… save up to 80% of your time every single week… industry-leading AI… guarantees results…”

From a senior marketer’s lens, the issues jump out:

• Invented stats (“save up to 80%”)
• Unverifiable superlatives (“#1,” “industry-leading,” “best on the market”)
• Blanket promises (“guarantees results”)

That’s not a copy problem, it’s a trust problem.

And trust problems don’t ship. They boomerang back through legal, approvals, and customer scepticism. Bad prompts don’t just create bad drafts; they create trust debt you’ll pay later with interest.

Why this matters

Because trust is a growth lever.

When your messaging is accurate and clear:

• approvals move faster
• customers convert with confidence
• support headaches drop
• brand equity compounds

Honesty is efficient. And in a world where AI can flood the internet with “pretty lies”, credibility becomes a competitive advantage.

C.L.E.A.R., C.R.E.A.T.E., and R.A.I.S.E. are just the starting point. To use AI confidently at scale and grow your career with it, marketers need a broader toolkit for voice, strategy, trust, and smart workflow design.

Want to learn more?

We can build an academy for your team that teaches these techniques (and more) in a sprint-friendly, marketer-built way; so you can stay creative, move fast, and ship work you’re proud to put your name on. We can also build you the tools to help automate and grow your business.

Prompt ethically. Create deliberately. Review intelligently. Ship confidently.