Startup Use Cases

Introduction

Startups build AI products faster than ever using prompts as the MVP. Patterns that win: focus, RAG, clear UX, fast iteration.

Beginner analogy: Like building a SaaS in 2010 — many will try, few will win; the patterns are repeatable.

Understanding the topic

Core concepts to understand:

• Pick one painful workflow; nail it.
• RAG over user data for instant 'wow'.
• Streaming UX feels magical.
• Iterate prompts daily; measure weekly.
• Cost discipline from day one — AI bills surprise founders.

Syntax reference

Visual workflow / architecture:

Painful workflow → RAG over user data → streaming UX → daily prompt iteration → product/market fit

Real-world use

Cursor, Perplexity, Glean, Cognition (Devin) — all started this way.

Best practices

• One workflow, not ten.
• RAG over user data wins fast.
• Track cost per user from day one.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. AI startup MVP patterns?
• Q2. RAG vs fine-tune for startups?
• Q3. Cost surprises — how avoid?
• Q4. Iteration cadence?