Start Simple

User query → AI model → response. No frills. Just working code.

Build this first. Add complexity later.

🏗️ Basic Architecture

imple flow:

• User sends query

• App forwards to AI model

• Model responds

• User gets response

Use third-party APIs (OpenAI, Google, Anthropic) or self-hosted models. No context, guardrails, or optimisation yet.

🤔 Why Start Simple?

Easy Entry

APIs make AI accessible. Anyone can start. No code sometimes.

Validate Problems

Ask these first:

• Is this app needed?

• Does this need AI?

• Must I build this?

• Am I forcing AI where it doesn't fit?

Fast Iteration

Quick demos. Fast feedback. Real usage data.

Avoid Waste

Cool demos ≠ profitable products. Simple prevents:

• Complex architecture costs

• Premature model development

• Wasted resources

‼️ Invest in data and models after proving value.

🔧 Initial Steps

Start with Prompts

Prompt engineering = easiest adaptation. Write instructions. No model changes. Success examples:

• Jasper AI - Content platform via prompts

• Copy.ai - Marketing copy via GPT wrappers

• Notion AI - Productivity via prompt integration

Prompts alone build profitable businesses.

Test and Improve

• Test different prompts

• Improve results

• Fix bad processes

Add Examples

If prompts fail, add few-shot examples:

• Show desired behaviour

• Watch context limits

• Mind the costs

💰 Cost Benefits

Simple = cheap:

• Use existing models (no training)

• Pay per API call

• No infrastructure

• No premature scaling

Focus on product validation first.