Prof by Lex AI Labs — home
Profby Lex AI
CurriculumPracticeFor OrganizationsPricing
Sign InStart Learning
FoundationsVisionSequencesTransformersAgentic AISystem DesignPracticeInterview

Agentic AI

Build a Multi-Agent Research Assistant0/12
  • The bare LLM loop
  • Give it a tool
  • ReAct: reason before you act
  • The Planner: decompose before you search
  • Parallel executors: run sub-questions concurrently
  • Shared memory: one source of truth
  • The Critic: validate before you deliver
  • Close the loop: the Orchestrator
  • Observability: see inside the machine
  • The whole system
  • Interview Readiness, Build a Multi-Agent Research Assistant