I will build an ai powered web app or saas platform with nextjs and open ai


About this gig
Your competitors are building AI into their products. Your customers already expect it. The question isn't whether to add AI it's how to build it so it actually works in production.
I build AI-powered web applications and SaaS platforms using Next.js, Node.js, and OpenAI's API (or Anthropic, Gemini your choice). Not toy demos. Real products with real AI features that users actually come back for.
3 years of building production SaaS and web platforms means I know how to architect AI features that scale: proper prompt engineering, streaming responses, token management, error handling, and the UI that makes it feel seamless.
AI FEATURES I BUILD:
- AI Chat & Assistant
- AI Content Generation
- AI Document
- RAG (Retrieval-Augmented Generation)
- AI Image Generation
- AI Data Processing
- AI-Enhanced Search
MY TECH STACK:
- Frontend: Next.js 14+ · React · Tailwind CSS
- Backend: Node.js · Express.js
- AI: OpenAI API (GPT-4o, GPT-4, GPT-3.5) Anthropic API (Claude 3.5 Sonnet) Google Gemini API
- Embeddings: OpenAI Embeddings · Pinecone · pgvector Database: PostgreSQL · MongoDB Auth: JWT · NextAuth.js Payments: Stripe (for AI SaaS billing) Deploy: Vercel · Railway · DigitalOcean
Message me before ordering.
Get to know Mesum
Full Stack Developer, SaaS, ERP and Web App Expert
- FromPakistan
- Member sinceDec 2022
- Avg. response time1 hour
Languages
English, Urdu, Japanese, Spanish
My Portfolio
FAQ
Which AI model do you recommend — OpenAI GPT-4o or Anthropic Claude?
It depends on your use case. GPT-4o is excellent for general-purpose tasks, code generation, and multimodal features (text + images). Claude 3.5 Sonnet is exceptional for long document analysis, nuanced reasoning, and following complex instructions precisely. For most SaaS applications, GPT-4o is th
Do you build RAG (Retrieval-Augmented Generation) systems?
Yes. RAG lets your AI answer questions based on your own data — documents, knowledge bases, product catalogs, etc. — rather than just its training data. I build RAG pipelines using OpenAI Embeddings + Pinecone (vector database) or pgvector (PostgreSQL extension). This is included in Standard and Pre
Will my users need their own OpenAI API key, or does it go through mine?
That's your architectural choice and I'll build it either way. Most SaaS products use the owner's API key (you pay for API usage, build it into your pricing). Some tools let users bring their own key. I'll implement whichever model fits your business, with proper key security and usage tracking.
How do you handle AI streaming responses in the UI?
I use the OpenAI or Anthropic streaming API with Server-Sent Events (SSE) or the Vercel AI SDK, depending on your setup. This gives the real-time word-by-word appearance users expect from AI tools. It's fully implemented — not a workaround.
Can you add AI features to my existing web app instead of building from scratch?
Yes — the Basic package is specifically for adding one AI feature to an existing app. Share your codebase and describe the feature, and I'll integrate it cleanly without breaking your existing architecture.
What about AI usage costs — how do I manage that at scale?
I build usage tracking into every AI app: token counting per request, per-user usage limits (if needed), and cost estimation dashboards for the admin. This lets you control your OpenAI bill and build it into your pricing model. Cost management is part of the production-ready build, not an afterthou

