AI text generation is easy to try and surprisingly hard to do well. Most people who conclude that “the output is generic” have simply not learned the craft of briefing the model — which, it turns out, is most of the job. This guide covers what is actually happening under the hood, how to write a prompt that produces something usable, and where your editing time should go.
How text generation actually works
A language model predicts the next token — roughly, the next fragment of a word — based on everything before it. Run that prediction thousands of times and you get an article. Three consequences follow directly from this, and they explain almost every frustration people have:
- The model has no idea what it is going to say. There is no plan being executed, which is why an unguided draft wanders. Give it the structure yourself.
- It optimises for plausible, not true. A confident, well-formed sentence and a correct one look identical to the model. Facts, numbers and citations need checking.
- Context is everything it knows in that moment. What you put in the prompt is the entire world the model is working from.
The five parts of a prompt that works
Almost every good prompt contains the same five ingredients. Leave one out and you will feel it in the output.
- Role and audience — who is writing, and for whom. “For senior backend engineers evaluating a migration” produces different prose than “for small business owners”.
- Task and format — what to produce, at what length, with what structure. Be specific: “900 words, four H2 sections, no conclusion section”.
- Source material — your facts, figures, quotes and product details. This is the single highest-leverage part of the prompt.
- Voice constraints — tone, and just as importantly what to avoid. “No rhetorical questions, no ‘in today's fast-paced world’” does real work.
- An example — a paragraph you consider good. Models imitate patterns far better than they follow adjectives.
In Gigilau AI Text, the voice constraints and examples can be saved as a brand voice profile, so you write them once rather than pasting them into every prompt.
Draft in stages, not in one shot
Asking for a finished 1,500-word article in a single request is the most common mistake. A staged workflow gives you a place to intervene at each step:
- Angle. Ask for ten possible angles on the topic. Pick one, discard nine.
- Outline. Get an H2-level structure and argue with it. Reorder, cut, add the section the model missed.
- Section drafting. Generate one section at a time, passing the outline as context. Quality drops noticeably after a few hundred words of unguided generation.
- Tightening. Ask for a 20% shorter version of each section. Compression removes filler with startling reliability.
- Human editing. The part nothing replaces.
Editing: where the real work lives
Budget roughly a third of your total time for editing. These are the passes that matter most:
- Fact pass. Verify every number, name, date and claim against a primary source. Treat unverifiable specifics as wrong until proven otherwise.
- Deletion pass. Cut every sentence that restates the previous one. AI text is padded almost by construction.
- Specificity pass. Replace generalities with concrete detail from your own experience — a real number, a real customer, a real failure.
- Voice pass. Read it aloud. Anything you would not say out loud gets rewritten.
Common failure modes and their fixes
- Everything sounds the same. Your prompt is too short. Add source material and an example paragraph.
- Invented facts. You asked the model to supply knowledge instead of shaping yours. Provide the facts in the prompt.
- Drifts off-topic after 400 words. Generate in sections.
- Ignores your instructions. Too many instructions at once, or contradictory ones. Split into two passes.
A quick word on SEO and disclosure
Search engines do not penalise AI-assisted content as such; they penalise unhelpful content, which AI simply makes cheaper to produce at scale. Original data, first-hand experience and a named author with real expertise remain the differentiators. And where your jurisdiction or your publication's policy requires you to disclose AI assistance, disclose it — readers mind far less than editors fear.
Used this way, Gigilau AI is not a replacement for writing. It is a way to spend your writing time on the parts that actually need a human.