AI integration for existing web apps and SaaS products

Who this is for

You already have a product with users, and you want AI to do a specific job inside it: summarize long records, draft replies, classify incoming requests, answer questions from your documentation, or turn raw data into explanations people can read. You don't need a chatbot bolted onto the homepage. You need a feature that gives correct, useful output on real data, costs a predictable amount per user, and keeps working when a provider changes a model.

That is the work I do. I'm a senior full-stack developer with 15+ years of shipping web products, and I add AI features to existing Nuxt, Vue, Laravel, Next.js and Node.js apps. If your product is still a prototype built with an AI tool, start with AI prototype to production instead.

How I approach an AI feature

• One feature, one measurable job. We agree on what a good output looks like before I write a single prompt.
• Your data, not a demo. I test against real examples from your product and keep them as an evaluation set, so every later prompt or model change is checked against the same cases.
• Structured outputs. Responses are validated against a schema before they touch your database or your users.
• Provider choice stays open. OpenAI, Claude and Gemini sit behind one interface, so switching models is a configuration change.
• Costs you can see. Token usage is logged per feature, repeat requests are cached, and per-user limits prevent surprises.
• Retrieval where it helps. For answers grounded in your own content, I add embeddings and search in PostgreSQL with pgvector, without a separate vector database to run.

Proof

On WithMaslow, a personality assessment platform, I rebuilt the API in Laravel 13 and added AI-generated insights with Laravel AI and Gemini, shown to users in the Nuxt 4 front end. The same product also has an MCP server so AI assistants can use it directly, which is a separate service: MCP server development.

I use AI coding tools such as Claude Code and Cursor every day, and I review and test every change myself. The same habit carries over to client work: AI output is material to check, never the final answer.

What affects the price

AI integration projects start from €2,400; you get a fixed quote after a short scoping call. The price mostly depends on:

• how many features or screens use AI
• whether answers must come from your own documents (RAG) or only from the model
• how clean and accessible your data is
• the review steps you need, such as human approval before anything is published

Get a quote

Tell me which job you want AI to do in your product and what data it would work from. I reply within one working day with questions or a first estimate. Get a quote for AI integration.