RLHF vs RLCD - Text Prediction vs Calibrated Decisions

RLHF vs RLCD - Text Prediction vs Calibrated Decisions A workflow diagram generated by Archify. 01 / Path A - Legacy RLHF 02 / Path B - RLCD Machine EX / Fallback + Human Intake Inference Gate + Action Text prediction chain Calibrated decision chain Human or fallback stop Input Prompt · free text · Path A - Legacy RLHF › Text prediction chain › Intake Input Prompt free text Dense LLM Decoder · next-token · Path A - Legacy RLHF › Text prediction chain › Intake Dense LLM Decoder next-token Text Stream · uncalibrated · Path A - Legacy RLHF › Text prediction chain › Inference Text Stream uncalibrated Parse Hazard · regex / JSON · Path A - Legacy RLHF › Text prediction chain › Inference · hazard Parse Hazard regex / JSON hazard Human In Loop · soft fail · Path A - Legacy RLHF › Text prediction chain › Gate + Action · manual Human In Loop soft fail manual Data Payload · structured · Path B - RLCD Machine › Calibrated decision chain › Intake Data Payload structured RLCD Machine Model · Jev · Path B - RLCD Machine › Calibrated decision chain › Intake · typesafe RLCD Machine Model Jev typesafe Confidence & Enum · 0.00-1.00 · Path B - RLCD Machine › Calibrated decision chain › Inference Confidence & Enum 0.00-1.00 Deterministic Gate · threshold evaluator · Path B - RLCD Machine › Calibrated decision chain › Inference Deterministic Gate threshold evaluator Pipeline Action · auto execute · Path B - RLCD Machine › Calibrated decision chain › Gate + Action · high conf Pipeline Action auto execute high conf Fallback Trigger · escalate to human · Fallback + Human › Human or fallback stop › Gate + Action · low confidence Fallback Trigger escalate to human low confidence tokens parse fails prompt raw text high confidence low confidence calibrated typed in scores + enum Legend User UI Agent logic Policy Tool action Context / trace Cloud service External system

Next-Token Text Prediction

  • • Dense decoder emits uncalibrated text with no scores
  • • Regex or JSON parse is brittle and fails silently
  • • Every failure exits to manual human soft-fail

Calibrated Machine Decisions

  • • Jev returns typed enum plus confidence 0.00 to 1.00
  • • Deterministic gate checks threshold before acting
  • • High confidence executes, low confidence escalates

Zero-Hallucination Guardrail

  • • Software boundary never parses free text
  • • Only high-confidence typed output reaches action
  • • Threshold miss fires fallback trigger every time