You don't need to rebuild your app to add AI. You need someone who knows how to integrate LLMs, automation, and intelligent features into an existing codebase without breaking what already works.

I embed AI capabilities directly into your live product: smart search, content generation, automated workflows, chatbots, document processing, and recommendation engines. Your users get AI-powered features. Your engineering team gets clean, maintainable code they can extend.

AI-powered search — replace keyword search with semantic search that understands user intent

Content generation — automated copywriting, summaries, descriptions, or reports powered by LLMs

Intelligent chatbots — customer support bots grounded in your product docs and knowledge base

Document processing — extract structured data from PDFs, invoices, contracts, or forms using AI

Smart recommendations — personalized content, product, or action recommendations based on user behavior

Workflow automation — AI-driven triggers that automate repetitive tasks your team does manually

Natural language interfaces — let users query data, generate reports, or control features using plain English

Assess — I review your codebase and identify where AI adds real value vs. where it's just a gimmick

Prototype — build a working proof of concept against your actual data so you can evaluate quality

Integrate — production implementation with proper error handling, rate limiting, cost controls, and fallbacks

Ship — deployed, monitored, and documented so your team can maintain and extend it

OpenAI API, Anthropic Claude, Google Gemini, LangChain, Pinecone, Supabase pgvector, Next.js, Node.js, Python.

SaaS founders who want AI features without a full rebuild

Product teams that tried integrating AI themselves and got unreliable results

Companies seeing competitors add AI and needing to catch up fast