A growing library of practical, answer-focused guidance for builders who need GPTs to stay useful, honest, and governed when real-world pressure arrives.
No generic AI commentary. Each guide isolates a consequential design problem, gives the direct answer, and shows the control that makes the answer operational.
Begin with the canonical definition, then move into the pressure tests that reveal whether the system can preserve its boundaries in real use.
Scope15 min read
A consequence-based definition and six-part decision test for identifying when a custom GPT needs explicit scope, authority limits, human accountability, security controls, and ongoing validation.
Read the complete guideScope20 min read
A consequence-based threshold and four-stage test for deciding when an ordinary custom GPT requires explicit governance, security, review, and human accountability.
Read the complete guideStress testing10 min read
A practical five-step method for applying controlled pressure, observing behavior before accuracy, scoring failures consistently, and confirming that each repair actually holds.
Read the complete guideEvery future article belongs to one of the book’s governing controls. This keeps the library coherent for readers and creates clear topical relationships for search and answer systems.
Determine what the GPT is for, who it serves, what evidence it may use, and where it must stop.
Keep accountable human owners, governing policies, and qualified professionals above the system.
Separate factual help from interpretation and prevent unjustified movement into directive judgment.
Test ambiguity, emotional pressure, false premises, authority manipulation, and adversarial inputs.