🎲
Same question, three different answers
No structure in your prompts means no consistency in outputs. The model fills gaps with whatever sounds plausible.
$10 Product
Turn broken prompts into repeatable output.
A plain-English framework for cleaning up prompts so they behave more predictably.
$10
🤥
Confident but completely wrong
Vague prompts produce confident hallucinations. The model isn’t lying — it’s guessing and you gave it nothing to anchor to.
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It worked yesterday, fails today
Fragile prompts that depend on specific model behavior rather than clear instruction break after every model update.
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You’re editing the same prompt for the 10th time
No framework for diagnosing what’s wrong, so every fix is a guess.
What you get
- Prompt Rewrite Framework — 6-step process to clean up any broken prompt in under 5 minutes.
- 12 Prompt Patterns — Before/after examples for each: bad prompt, fixed prompt, explanation of why it works.
- Quality Checklist — 10 questions to ask before sending any prompt to production.
- Hallucination Prevention Guide — 4 structural techniques that measurably reduce false outputs.
- Context Injection Template — How to give the model exactly the background it needs without bloating the prompt.
- Model-Specific Tips — What works differently in Claude vs GPT-5.4 vs Gemini for common use cases.
Buy
Grab the $10 product and download the pack.
Download
Open the files, copy the parts you need, and plug them into your workflow.
Implement
Use the checklist, templates, and examples to get to a working result faster.
Want us to do this FOR you?
If you want guided help or a custom build, book a Starter Consult.
Book a CallIs this right for me?
Yes if you want a practical shortcut instead of building from scratch.
What format is it?
A downloadable pack with guides, templates, and checklists.
What is the refund policy?
Add your final refund policy before launch.