Building AI Features Solo

123456789101112
import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';

interface ChunkMetadata {
  documentId: string;
  chunkIndex: number;
  pageNumber?: number;
  section?: string;
  totalChunks: number;
}

async function intelligentChunk(
  text: string,

123456789101112
import { z } from 'zod';
import { OpenAI } from 'openai';

const BlogPostSchema = z.object({
  title: z.string().min(10).max(100),
  excerpt: z.string().min(50).max(200),
  sections: z.array(z.object({
    heading: z.string(),
    content: z.string().min(100),
  })).min(3).max(7),
  tags: z.array(z.string()).min(2).max(5),
});

123456789101112
// app/api/chat/route.ts
import { OpenAI } from 'openai';
import { OpenAIStream, StreamingTextResponse } from 'ai';
import { Ratelimit } from '@upstash/ratelimit';
import { Redis } from '@upstash/redis';

const openai = new OpenAI();
const ratelimit = new Ratelimit({
  redis: Redis.fromEnv(),
  limiter: Ratelimit.slidingWindow(10, '1 m'),
});

123456789101112
// Simple, effective content generation
async function generateContent({
  type,
  context,
  tone,
  length
}: ContentRequest): Promise<ContentResult> {
  const prompts = {
    'blog-post': `Write a ${length} blog post about: ${context}\nTone: ${tone}\nInclude: compelling intro, 3 main points, conclusion with CTA`,
    'product-description': `Write a ${length} product description for: ${context}\nTone: ${tone}\nHighlight benefits, not just features`,
    'email': `Write a ${length} email about: ${context}\nTone: ${tone}\nInclude clear subject line and single CTA`,
  };

123456789101112
// lib/ai-cost-tracker.ts
const COSTS_PER_1K_TOKENS = {
  'gpt-4-turbo-preview': { input: 0.01, output: 0.03 },
  'gpt-3.5-turbo': { input: 0.0005, output: 0.0015 },
  'text-embedding-3-small': { input: 0.00002, output: 0 },
  'claude-3-sonnet': { input: 0.003, output: 0.015 },
};

export async function trackAICall<T>(
  feature: string,
  userId: string,
  model: keyof typeof COSTS_PER_1K_TOKENS,