The rules that made you successful shipping traditional software will actively sabotage your AI product. Unlike deterministic code where you can predict outputs and write comprehensive tests, AI products live in a world of probabilistic outcomes, emergent behaviors, and user expectations that shift with every ChatGPT update.
123456789101112// pages/api/generate.ts - The entire backend you need to start import Anthropic from '@anthropic-ai/sdk'; const client = new Anthropic(); export default async function handler(req, res) { if (req.method !== 'POST') return res.status(405).end(); const { prompt } = req.body; // Start with the simplest possible prompt structure const systemPrompt = `You are a helpful assistant. Be concise.`;
123456789101112# prompt_lab.py - Simple prompt testing harness import anthropic import json from datetime import datetime client = anthropic.Anthropic() # Store prompts as versioned files PROMPT_VERSIONS = { "v1": "You are a helpful assistant.", "v2": "You are a helpful assistant. Be concise and specific.", "v3": "You are an expert assistant. Give actionable advice in 2-3 sentences."
123456789101112// lib/flags.ts - Dead simple feature flags const FLAGS = { newAIModel: { enabled: true, allowlist: ['user_123', 'user_456'], // Beta users percentage: 10 // 10% of other users }, streamingResponses: { enabled: true, allowlist: [], percentage: 100 // Fully rolled out }