Upload Knowledge
TXT · Markdown · DOCX · PDF · 10 MB maximum
Gemini interprets the knowledge and each question variation. StableAI then deterministically selects, renders and hashes one source-grounded answer.
TXT · Markdown · DOCX · PDF · 10 MB maximum
Gemini performs semantic normalization only. StableAI application logic selects the canonical registry state, renders the answer deterministically, and verifies its evidence and hashes.
Read text from TXT, Markdown, DOCX or PDF.
Extract complete source-backed facts while rejecting headings, fragments and invented evidence.
Use Gemini to independently map every wording to requested registry meanings.
Confirm identical evidence, answer text and SHA-256 hashes.
A Gemini-powered implementation of the StableAI L5.2 No-Drift workflow. Semantic work happens through the secured server API; canonical selection, evidence control and verification remain deterministic.
TXT, Markdown, DOCX and text-based PDF files up to 10 MB, with readable-text validation and source preview.
Up to 100,000 characters compiled into complete source-backed facts, atomic meanings and stable identifiers—never document headings.
Compact metrics for source sections, supported facts, atomic meanings, canonical states and complex combinations.
Gemini creates simple and complex questions from the compiled registry without adding unsupported requests.
Gemini classifies manual questions as fully supported, partially supported, unsupported or conflicting before verification.
5, 10 or 20 independent Gemini interpretations using exact repetition, equivalent wording, or both modes.
Fixed source-backed rendering with explicit coverage of supported and unsupported requested parts.
Run comparison, registry consistency, answer and evidence hashes, unique-hash counts and local latency.
Every canonical answer is built from exact uploaded evidence. Unsupported information is explicitly marked instead of invented.
Question wording may change, but deterministic selection and rendering control the final answer.
Variations, requested meanings, coverage, canonical answer, evidence and hashes remain visible to the user.