MZN CompanyPhase 2LLM AnatomyLLM Complement FrameworkLLM Optimization & BackbonesTokenizerGPU Sentinel
Section 08 of 13 · Optimization candidates

Cost-Side Hypotheses

Persistent context and routing can potentially reduce repeated work at inference time. This section separates the mechanisms from the benchmark results that Phase 3 would need to establish.

Phase-separatedCompanion to 21-slot AnatomyDesign argument · not independent validation
Framework reading

What this section contributes

This section keeps the argument narrow: mechanisms are separated from phase, maturity, evidence type and independent validation.

Dynamic contextual activation

Activate only the context or capability subset relevant to the current task rather than loading every possible user or system state.

Output-first / reverse-prompting logic

Begin from the required output structure and route backward toward the minimum context and reasoning path needed for that output.

Stable-context caching

Some stable, permitted context may be cached or referenced rather than reconstructed in every prompt. Cache invalidation and consent scope remain critical.

User/context mapping

A structured map can reduce repeated interpretation of known context, but only if its confidence, freshness and purpose are explicit.

Safety as routing

Known high-risk patterns can be routed through bounded safety behavior, but real latency, false-positive and cost effects require benchmark replication.

What this section claims

  • These are architecture-level optimization candidates.
  • Each mechanism can be benchmarked independently before portfolio-level conclusions are made.

What it does not claim

  • No billion-dollar savings claim is made.
  • No 20–80% compute or prompt-reduction claim is treated as externally validated.
  • The section does not claim that persistent context always lowers total cost.
Review discipline

Keep provenance, maturity and validation separate.

Phase 1 provides team-built product and market context. Phase 2 contains the bounded solo AI-native formation work. Phase 3 is where independent technical, legal/IP, compliance, pilot and commercial review decides what survives professional diligence.