The AI case study generator that doesn't sound like AI.

Why most AI-written case studies fail

A case study has one job: convince a sceptical buyer that what worked for someone like them will work for them. That takes credibility, and credibility comes from specifics. Named clients, exact numbers, honest detail about what the work involved, and at least one thing that did not go smoothly. Most AI-generated case studies have none of that. They have polish instead, and buyers can smell polish without substance from the first paragraph.

We wrote a full breakdown of this in our review of AI case study generators and which ones sound human. The short version: the tools are not the problem, the defaults are. Left to their own devices, language models pad thin inputs with confident-sounding filler. They invent plausible percentages. They describe every client as "struggling to navigate a rapidly evolving landscape". The result reads fine and persuades nobody. So we built a generator with the opposite defaults.

The anti-slop rules this tool enforces

Every draft this generator produces is bound by a fixed set of rules. They are the same rules we apply to client-facing copy at Levity, and they are worth stealing even if you never use the tool:

• No invented facts. The generator writes only from what you typed in. Missing numbers become bracketed placeholders like [ADD: cost saving %] rather than fabricated statistics. A case study with honest gaps beats a fluent lie.
• No fabricated quotes. If you did not supply a client quote, the draft will not contain one. Invented testimonials are the fastest way to lose a deal and, in the UK, a straightforward way to breach consumer protection rules.
• A banned vocabulary list. Delve, leverage, seamless, robust, transformative, game-changer, cutting-edge, holistic, synergy, and a dozen more of the words that instantly mark copy as machine-written are hard-banned in the prompt.
• No em dashes. The single most reliable tell of AI-written text in 2026. The generator uses commas and full stops like a person typing.
• No rhetorical scaffolding. No "it's not just X, it's Y", no rhetorical questions, no exclamation marks, no unprovable superlatives. Short sentences and concrete verbs instead.
• Challenge written from the client's side. The problem section describes what the client experienced, in language close to how they would say it, not what the vendor observed from a distance.

Gather your metrics before you write anything

The generator is only as good as the facts you feed it, so do the collection first. Ten minutes of digging beats an hour of editing. Four places to look:

• Your CRM or reporting dashboard. Pull the raw counts: leads contacted, replies, meetings booked, deals closed, revenue attributed. Absolute numbers with timeframes ("31 booked meetings in 60 days") persuade more than bare percentages.
• The client's own words. Search your email threads and call notes for how they described the problem when you first spoke. That language is your challenge section, and it is unfakeable.
• A short debrief call. Twenty minutes, four questions: what was the situation before, what worried you at the start, what surprised you about the results, what would you tell a peer considering this? Record it and you have your quote too.
• The thing that went wrong. One honest detail about a first attempt that underperformed, and what you changed, does more for credibility than any adjective. Smooth stories read as marketing. Iteration reads as reality.

Then paste it all in above. If the draft comes back with amber placeholders, that is the tool telling you which facts are still missing. Go get them, do not guess them.

What is an AI case study generator?

One last honest note. A case study, however well written, only matters if the results behind it are worth writing about. That part still has to happen in the real world. If your pipeline is the thing that needs work before the write-up does, our lead generation work is where we spend our days. Otherwise, scroll up, paste in your facts, and go publish something true.

Frequently asked questions