Applied · AI System Designsenior

Conversational Commerce / Shopping Agent

Components

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Utilities

Text Box

Group / Container

Circle

Diamond

Divider Line

Heading

Recommended

Client / User

LLM / Model

Retriever

Knowledge Source

External API

Long-Term Memory

Guardrail / Classifier

Human-in-the-Loop

Entry & gateway

Client / User

LLM Gateway

API Gateway

Orchestration

Orchestrator / Planner

Agent / Worker

Agent Loop

Models

LLM / Model

Model Router

Embedding Model

STT / TTS

Retrieval / RAG

Retriever

Reranker

Vector Store

Knowledge Source

Tools & execution

Tool / Function

MCP Server

Code Sandbox

Browser / Computer Env

External API

Memory & state

Working Memory

Long-Term Memory

Cache (semantic/prompt)

Safety & eval

Guardrail / Classifier

PII Filter / Redactor

Eval / Judge

Observability / Tracing

Infra & data

Database / State

Queue / Event Bus

Human

Human-in-the-Loop

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// brief

Conversational Commerce / Shopping Agent

Design a conversational shopping agent that understands needs, recommends real products, and helps complete a purchase.

Key Requirements

01Strict catalog grounding — never hallucinate products
02Live inventory/price lookup (not stale cache)
03Payment handled by the human only — agent never enters card data
04Personalization with privacy; multi-turn refinement
05Conversion north-star with guardrail metrics; no dark patterns

Rubric must-haves

0/3

Retrieves from a real product catalog
Has live inventory/price (external API)
Has a human gate at checkout/payment

These checks are the structure score, 30% of your total. They update as you draw.

Practise it like the real round

45-minute timer paced through requirements, design and deep dive. The follow-up questions stay hidden until the last phase, and solution hints are off.

AI Review

0/5

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