0.0.39 Milestone: Prompt Precision Conditioning Runtime · Automated Model Precision Optimization · Semantic Instruments Studio Bay · NLP Substrate.
Semantic Instruments Prompt Precision Specs
Zero-heap hot paths · Deterministic token envelopes · Branch 0.0.39

Predictable Conditioning.
Exact token envelopes without heap alloc.

0.0.39 delivers mathematical prompt precision calibration, an automated model precision mapping pipeline, first-class semantic instruments in Webizen Studio, and an enterprise NLP gold evaluation corpus — all operating under QualiaDB's 42MB Sentinel budget.

Navigation: Semantic Instruments · Prompt Precision Specs · 0.0.38 Human Surface · 0.0.37 WASM Engine · QDNF Fabric · Release Matrix

Hot-Path Allocation
0 B
Zero heap alloc in prompt evaluation
Token Budget Zones
6 Zones
Prefix, Invariant, Shots, Work, Query, Scratch
Cross-Cutting Invariants
14 / 14
Automated invariant compliance suites
Model Strategies
B0 – B5
Baseline to extreme low-bit quantized

Interactive Simulator

Dynamic Token Budget Algebra ($B_{total}$)

Explore zero-heap token slice partitioning under strict context limits.

Context Allocation: 2048 / 2048 tokens BUDGET OPTIMAL
B_prefix
256 tok
B_invariant
384 tok
B_fewshot
384 tok
B_workspace
512 tok
B_query
256 tok
B_scratchpad
256 tok
Enforced by qualia-core-db::inference::conditioning::budget. If $B_{workspace}$ expands under dense RAG retrieval, $B_{fewshot}$ and $B_{scratchpad}$ decay gracefully to preserve $B_{invariant}$ safety bounds.

Conditioning Runtime

Prompt Precision (W0–W8)

Eliminates nondeterministic prompt drift. Standardizes prompt contracts with zero heap allocation in hot evaluation loops.

  • Fixed-size [T; N] stack buffers & caller-supplied output slices
  • Spec compilation with SHA-256 contract fingerprinting
  • PP-090 LoRA hot-path zero-heap readiness verified
Read architecture specification →

Machine Learning Pipeline

Automated Model Precision Optimizer

Automatically maps model families and parameter limits to optimal precision strategies with verifiable held-out validation.

  • Strategies B0 through B5 generated and scored automatically
  • Strict train / dev / test split isolation preventing data leakage
  • Cryptographic ModelOptimizationReceipt records with rollback
View optimizer mechanics →

Authoring & Manufacture

Semantic Instruments Studio Bay

First-class metamodel for inspectable semantic packages in Webizen Studio, with SHACL validation, dependency-aware packaging, receipts, and explicit trust boundaries.

  • 7-stage life cycle: Flow, Select, Shapes Canvas, Manufacture, Receipts, Inspect, Run
  • Complete keyboard-only authoring path without host lock
  • Immutable receipt tracking surviving instrument revocation
Read the instrument guide → Open Webizen Studio →

NLP & Gold Benchmarks

NLP Substrate & Corpus Suite

High-performance natural language processing substrate backed by reproducible gold standard evaluation corpora and checksum verification.

  • qualia-catchment-notes-v0 hydrological and environmental domain corpus
  • qualia-english-notes-v0 abbreviation, decimal, and full-width tokenization
  • Automated validation harness (scripts/validate-nlp-plan.ps1)
Inspect NLP benchmark reports →

Formal Verification

Section 14 Cross-Cutting Invariants (14/14 PASS)

Every conditioning compilation and runtime execution is verified against 14 structural invariants defined in the Prompt Precision specification:

I-1 Deterministic Byte Identity
I-2 Zero Heap in Hot Path
I-3 Strict Monotonic Token Budget
I-4 Safety Invariant Preservation
I-5 Reversible Multi-Turn Decay
I-6 Zero Leaked Context in Fallback
I-7 Sanitization Immutability
I-8 42MB Sentinel Conformance
I-9 Model Target Alignment
I-10 Audit Receipt Cryptographic Root
I-11 Telemetry Precision Clocks
I-12 LoRA Shape Boundedness
I-13 WASM32 Target Parity
I-14 Failsafe Closed Execution
$ cargo test --test prompt_precision_cross_cutting
running 14 tests
test test_invariant_01_deterministic_byte_identity ... ok
test test_invariant_02_zero_heap_in_hot_path ... ok
...
test result: ok. 14 passed; 0 failed; 0 ignored; finished in 0.01s