
Select up to 3 specializations. Leave unchecked for parent domain defaults.
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AI models don’t fact-check themselves. They don’t flag when they’re guessing. They’ll fabricate a statistic, cite a source that doesn’t exist, and deliver it with the same confidence as a verified answer. The only thing standing between useful output and plausible misinformation is the prompt.
That’s what this hub is about. Prompt engineering is the skill of structuring AI inputs to get accurate, useful, and consistent results. This page collects everything you need to build that skill: articles that walk you through four phases of prompt development (from writing your first structured prompt to designing system-level context architecture), technique breakdowns, prompt templates you can use immediately, infographics, a glossary, and metrics for measuring output quality.
It also includes two purpose-built tools. The Guardrail Prompt Builder generates prompts designed to reduce AI fabrication, grounded in the GAIO (Guardrail Architecture for Informed Output) framework. The Persona Generator creates structured role definitions that shape AI responses before you write a single instruction. The goal isn’t just better prompts. It’s prompts that produce outputs you can actually trust.


Guardrail Architecture for Informed Output
v1.0 — Tech Jacks SolutionsTell us what this AI will be used for. These two answers shape everything else the tool generates.
A sentence or two is fine. Example: "Help our team answer customer questions about our cybersecurity products."
This sets the default sources, escalation triggers, and topic boundaries.
Name the subject area this AI will operate in. This becomes the domain label in your configuration.
Select all that apply.
Optionally narrow the focus. This refines sources, triggers, and boundaries. Skip if the parent domain defaults are fine.
Select up to 3 specializations. Leave unchecked for parent domain defaults.
Add a second subject area if your use case spans two fields. The primary domain takes precedence when sources conflict.
Select up to 3 specializations.
How should the AI engage, and how strictly should the rules apply?
This controls how confidently the AI responds. Higher authority means more direct recommendations.
This determines whether the AI treats all rules as mandatory or gives you flexibility on operational rules while keeping integrity rules locked.
Control where the AI's answers come from and how it handles links.
How should the AI handle links? This depends on whether your AI platform can search the web.
Add specific URLs you've verified as accurate. The AI will always prefer these over any search-retrieved links. Optional but recommended.
When two authoritative sources disagree, what should the AI do?
Review the auto-populated topic boundaries and escalation triggers. Edit anything that doesn't fit your use case.
Topics this AI is authorized to address. Auto-populated from your domain selections.
Hard boundaries. The AI will never address these, even if asked directly.
What should the AI say when asked about something out of scope?
Conditions that trigger a "consult a professional" flag. Universal triggers are always active. Domain triggers are auto-populated.
Optional. Where should the AI direct users when escalation is triggered?
Here's a summary of your configuration. Use the back button to change anything, or generate your configuration below.
https://github.com/TechJackSolutions/GAIO Open-source Community Based Project