INTERVIEWX
interviewx
An interviewer that has already read your work. It questions graduates of the 31-day AI Cohort on the missions they actually shipped — then judges the answers and hands back a scorecard.
- 31
- day cohort
- 8
- modules
- 8+
- signals scored
A résumé says what they claim. The missions say what they built.
- 01Critical Thinking
- 02Problem Solving
- 03Systems Thinking
- 04Technical Depth
- 05Communication
- 06Adaptability
- 07Decision-Making Under Pressure
- 08Debugging & Root-Cause Analysis
31 days. 8 modules.
Every question the agent asks is anchored to one of these days.
Foundations
Program Kickoff
Python & Async Basics
Ingestion & ETL Foundations
Data Pipelines & Chunking
Embeddings & Vectors
Embeddings 101
Vector Databases
RAG Retrieval Loop
RAG Evaluation
Prompting & Tools
Prompt Engineering
Structured Outputs
Function Calling
Tool Routing
Fine-Tuning
Fine-Tuning Basics
Dataset Curation
Chatbot Systems
Chatbot Backend
Chatbot Frontend
Streaming & Latency
Agentic AI
Agentic AI with LangChain
CrewAI Multi-Agent
LangGraph State Machines
Model Context Protocol
MCP Servers in Practice
Memory & Long Context
Evaluation & Security
Evaluation Harness
Guardrails & Safety
Security & Secrets
Deploy & Capstone
Docker Packaging
Kubernetes Deploy
Monitoring & Tracing
Cost & Performance Tuning
Capstone: Ship the Agent
Sit the interview.
Pick a cohort graduate. The agent reads their mission history, asks grounded questions, follows up on weak answers, then issues a scorecard.
InterviewX AI assistant
Select a contestant above — the interview starts instantly.