AI Accuracy

With Tasset, AI accuracy is deterministic. Not probabilistic. Probabilistic AI retrieval fails at scale because there is no address for the information being retrieved. Language models navigate documents by semantic similarity. A retrieved chunk of information is the most likely relevant. Not the one verifiably correct. Even at a 1% accuracy failure per document, the probability of correct AI analysis across 100 documents drops to 36.6%. Across larger corpora, it approaches zero chance of accuracy. The math describes the symptom. The root cause is structural — there was is no method to precisely address each piece of knowledge contained in a document.

To achieve AI accuracy, Tasset eliminates the structural failure modes (attribution, navigation, extraction) before AI is involved. Tasset assigns a permanent, uniquely identifiable agentic data address protocol (ADAP) anchored to every line and cell of information in a file.

Tasset assigns each line and cell by positional arithmetic. Not by AI inference. When AI cites a value by these knowledge coordinates, verification becomes a string comparison. AI quotes what is stored at that exact address. Match or mismatch, true or false, binary. Data accuracy is resolved by its address. Which is absolute. The coordinate index lives in the file. The format is the structure and the solution.

With Tasset, no retrieval infrastructure is required. No need for a vector database either. No more embedding pipelines to maintain. Zero hallucination by file structure. Not by probability.