An end-to-end rendering
system enforces policy-constrained, symbolic presentation of artificial-intelligence (AI) outputs prior to any pixel emission. An AI accelerator emits
inference tokens as (token identifier, confidence, domain tag) tuples into an output FIFO. A
graphics processor with a command processor and
SIMD co-processor executes a policy engine that runs a
deterministic finite automaton (DFA) stored in non-transitory memory. The DFA consumes the tuples and produces, before any frame-buffer writes, a permit / deny decision and a
visibility mask that constrain presentation attributes. A
glyph selector maps permitted tuples to entries in a constrained
glyph dictionary specifying a
glyph identifier, semantic class, and allowed substitutions. A
provenance tagger computes a cryptographic hash over at least the glyph identifier, a DFA-
state policy identifier, a session nonce, and a
checksum of the tuples to create an evidence
capsule bound to the glyph. A device-aware renderer, consulting a device profile registry and a rendering grammar, emits a renderable asset for the glyph only when permitted by the
visibility mask and grammar. A justification ledger records, for each displayed glyph, the evidence
capsule and a monotonic
timestamp. Executed entirely within the
graphics processor, the pipeline prevents unauthorized tokens from entering the display path, enables cryptographically verifiable
traceability of visible content, and reduces bandwidth by representing outputs as glyph identifiers rather than text or raster imagery, while allowing runtime policy updates without modifying the underlying
inference model.