Livoa LogoLivoa
PRODUCTION
DATA INGESTION
LAYER
STAGE 1: ATTRIBUTE EXTRACTION MODULE


Prompt_v1.3

LLM API Call → Structured Output (JSON)

STAGE 2: NORMALIZATION MODULE


Prompt_v2.1

LLM API Call → Normalized Attributes

STAGE 3: ENTITY MATCHING MODULE


Prompt_v3.0

LLM API Call → Match Decision + Reasoning

STAGE 4: CONFIDENCE SCORING & FILTERING MODULE


Prompt_v1.8

LLM API Call → Final Classification

PERFORMANCE MONITORING SUBSYSTEM
HITL (Human in the Loop)
PRODUCTION OUTPUT
(Matched
Products)
PROMPT UPDATE PIPELINE
Prompt Registry
COMPONENT A: REFLECTION
Reflection model analyzes reasoning traces from failed cases
Generates structured critiques on current prompt instructions
Identifies patterns in failure modes
COMPONENT B: PROMPT EVOLUTION
Prompt mutation based on reflection feedback
Incorporates annotator feedback from HITL
Generates candidate prompt variants
COMPONENT C: EXPERIMENTAL VALIDATION & SELECTION
Evaluation on validation set with custom metrics
Statistical significance testing (bootstrap)
COMPONENT D: SAFE DEPLOYMENT & MONITORING
D1. Gradual Rollout Controller
▶ Phase 1 ▶ Phase 2 ▶ Phase 3
D2. Real-Time Guardrail System
D3. Prompt Version Control & Audit Log
Iterate until compute budget exhausted

llm

by omar

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