1:1 mentoring with Big Tech AI engineers
Back
Core · AI System Designsenior

Deep Research Agent

Components

Drag onto the canvas, or click to add.Tap to add to the canvas.

Utilities

Text Box
Group / Container
Circle
Diamond
Divider Line
Heading

Recommended

Client / User
Orchestrator / Planner
Agent / Worker
LLM / Model
Retriever
Knowledge Source
Tool / Function
Cache (semantic/prompt)
Guardrail / Classifier
Observability / Tracing

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
Mini Map

Drag or click a component on the leftTap Components to add your first piece

connect · iterate · submit for review

// brief

Deep Research Agent

Design an agent that takes an open-ended query, plans sub-questions, searches and reads many web sources, and produces a faithfully cited synthesis.

Key Requirements

  • 01Decompose the query into a plan / sub-questions
  • 02Parallel search + page reading with dedup and source ranking
  • 03Citation grounding — every claim maps to a real source
  • 04Explicit stopping criterion plus a token/time/cost budget
  • 05Synthesizer that reconciles conflicting sources

Rubric must-haves

0/3
  • Has an orchestrator/planner to decompose the query
  • Has a web search/browse tool
  • Requests flow through the planner before tools

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

Review me as:

Build your design, then submit for an AI-powered review with dimension scores, strengths, gaps, and actionable suggestions.


Try designing your solution first before viewing hints.


Comments (0)

Sign in to leave a comment

Loading comments...