The work began along two parallel paths. In his personal AI work, Ishmael Wiggins repeatedly encountered a familiar limitation of early LLMs: hallucinations that disrupted progress, undermined trust, and often resulted in lost or unusable work. The promise of AI was clear, but without reliable alignment, its usefulness plateaued quickly.

At the same time, as an IT professional in the Finance Sector, AI was largely inaccessible altogether. Strict regulatory and compliance requirements made widespread AI adoption impossible—not because of a lack of interest, but because existing systems could not meet the standards for safety, accountability, or human oversight.

Together, these experiences raised a deeper set of questions: Why did AI systems fail so easily in practice, and what would need to change for them to be used safely, effectively, and within best practices in high-stakes environments? Rather than treating hallucinations and compliance as separate problems, Ishmael recognized them as symptoms of the same underlying issue—misalignment between humans, systems, and intent. Solving that problem became the foundation of the Wiggins Protocol and, ultimately, the WigginsMethod™.