The AI Reality Check
Before you trust the AI's output: have a pro take a look. What holds up, what's hype, what's simply wrong — and how to get better results yourself.
Honestly
The AI sounds convincing. But is it actually right?
More and more of my clients work with AI themselves — and that's a good thing. Texts, concepts, analyses, even code now appear in minutes. The problem: AI almost always sounds competent. Even when it's talking nonsense.
That's exactly where the uneasy feeling comes from: is this actually good — or just well phrased? Do the facts hold up? Is the AI hallucinating? Am I missing something obvious? And sometimes the other way around: the AI delivered something genuinely good — but you don't dare to rely on it.
That's what the AI Reality Check is for. You do the work yourself, I step in once as a pro and tell you honestly what holds up, what's shaky, and what's simply wrong. Plus the tips on how to get better results yourself next time. Not a big project — a clear outside look.
What you take away from the reality check
Honest, concrete, no hype
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An honest assessment
Does the AI result hold up? I tell you clearly what's good, what's nonsense — and why. No sugar-coating, no scaremongering.
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Spot errors & hallucinations
Invented facts, wrong numbers, sources that don't exist, sloppy logic. Exactly the things that vanish under convincing language.
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Name what's good, too
When the AI did clean work, I'll say so. You should end up knowing what you can rely on — not throwing everything away.
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Concrete improvements
Not just “this is wrong”, but: here's how to do it right. With the specific spots where you should sharpen things up.
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Tips for doing it yourself
Including a recap: how to feed, cross-check and steer the AI better — so the next output is better from the start.
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A written assessment
You get the verdict in writing — traceable, so you and your team still know later what actually mattered.
How it works
Three steps. One clear result.
No lengthy onboarding, no big project. You show me what you built with AI — I take a look and we go through it together.
You send your result
Text, concept, analysis, code or strategy. Plus a quick note: what was it supposed to deliver — and what did you use (ChatGPT, Claude, Gemini …)?
I review it honestly
Fact check, logic, hallucinations, blind spots. I mark what holds, what's shaky and what's simply wrong — with reasons.
Recap call
We go through the result together. You get the assessment plus the tips on how to get better results yourself next time.
What I look at
Whatever you use AI for — the common trap is always the same
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Texts & content
Blog posts, landing pages, emails, proposals. Sounds convincing isn't the same as is correct — or sounds like you. I check facts, tone and whether it really holds.
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Strategies & concepts
Marketing plans, positioning, roadmaps. Plausible isn't viable. I look at whether the assumptions hold and the plan works in your reality.
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Data analysis & research
Numbers, sources, market analyses. This is where AI loves to hallucinate. I cross-check whether the sources exist and the conclusions hold.
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Code & automations
It runs isn't the same as secure, clean and maintainable. A look at whether something gets expensive later — before it goes live.
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Prompts & workflows
If nonsense keeps coming out, it's rarely the AI — usually the prompt or missing context. I show you what it's hanging on.
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Images & creative output
AI images and graphics often look good — but aren't always clean on brand and legal grounds. An honest look before it goes public.
Included: the recap — working better with AI
The check shows what went wrong this time. The recap makes sure it goes better on its own next time.
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The ground rules that actually matter
No prompt magic tricks — just the handful of things that make the difference.
- Context beats tricks Why good results almost always hinge on context, not magic prompts
- The right task What AI is reliable for — and where you're better off yourself
- Think in iterations How to turn a mediocre result into a really good one over a few rounds
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How to avoid the typical traps
The mistakes almost everyone makes — and how to sidestep them from now on.
- Demand sources How to get the AI to cite evidence instead of inventing it
- Cross-check, don't trust A simple routine for catching hallucinations yourself
- Know the limits How to tell when the AI is guessing rather than knowing
Why do the reality check with me
- of practical AI use in my own SEO, content and code workflows
- Years
- I'll also tell you when the AI did good work — not just what's wrong
- Honest
- one session, one clear result — no ongoing commitment, no project overhead
- Compact
Frequently asked questions
- Anything you created with AI: texts and content, strategies and concepts, data analyses and research, code and automations, prompts and workflows, even images. If you're unsure whether something fits — just ask, and I'll tell you honestly whether a reality check makes sense.
- Easy: as a document, link, screenshot or repository. All I need is a sentence or two — what was it supposed to deliver and what did you use. The clearer the goal, the sharper the assessment.
- Absolutely. That's the whole point: you should end up knowing what you can rely on — and not throw away good work out of uncertainty. An honest check goes both ways.
- No. With AI consulting we introduce AI together and build workflows — I work alongside you. With the reality check you do the work yourself, and I step in once as a second pair of eyes, assess the result and give you tips for doing it yourself. If it turns out more guidance makes sense, I'll say so openly.
- Usually within a few days. For smaller results, often faster. If it's urgent, let me know — we'll find a way.
- It depends on the scope — a single text is different from a full strategy with data analysis. We clarify scope and effort transparently upfront, before anything starts. No hidden pricing.
What exactly can I have reviewed?
How do I send you my result?
Will you also tell me when the AI did good work?
Is this the same as your AI consulting?
How fast is it?
What does a reality check cost?
Show me what you built with AI.
An honest outside look before you trust the AI. Send me your result — we'll sort out the rest in a quick call.