Mock AI Projects

Introduction

Bigger end-to-end mock projects to prove production AI skills on your portfolio. Each takes 1–2 weekends.

Understanding the topic

Core concepts to understand:

• Notion-style 'Q&A over my docs' app (RAG + auth + multi-doc).
• Customer-support AI agent with ticket integration.
• AI code reviewer that comments on GitHub PRs.
• Mini Perplexity (web search + cite + stream).
• Voice AI assistant with tool calling.
• Multi-agent research team using CrewAI / LangGraph.

Syntax reference

Visual workflow / architecture:

Pick → Plan → Build (RAG + UI + auth)
                  │
                  ▼
              Add evals + monitoring
                  │
                  ▼
              Deploy + open-source
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            Share on Twitter / LinkedIn

Real-world use

These exact projects landed many engineers their first AI job in 2023–2025.

Best practices

• Open-source everything.
• Write a blog post per project.
• Add evals and metrics — that's what differentiates.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Pick one and ship it in 14 days.
• Q2. Document trade-offs.
• Q3. Add evals before you call it done.