A problem of communication
Generative AI makes it easy to produce a request and difficult to see everything that request leaves unstated. A short sentence can conceal the intended audience, source boundary, acceptable format, exclusions and test for success. When the answer misses one of those assumptions, the failure can look like a model failure even though the model was never given the information needed to choose well.
From idea to method
Gaiish names the pieces of that communication and puts them into a reusable structure. The current method is Intent → Context → Instruction → Constraints → Result → Validation. BASIC and PRO offer practical shapes for different levels of task complexity. The language specification records the vocabulary and syntax so the method can be taught, reviewed and revised.
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Still developing
The architecture allows additional frameworks, dictionary entries, examples and research to be added later. Development is not evidence of adoption or effectiveness. It is an honest description of the work: define the structure, use it, test it in representative settings and publish what the evidence can support.
Read the specificationSee the research planView the changelog