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Add practical AI capabilities to your product

I help companies integrate AI features that work inside real products and workflows — not demos that never ship. From RAG-powered search to intelligent assistants, the focus is always on reliability and business value.

Common challenges

  • You want to add AI to your product but aren't sure where to start
  • Your team built a prototype but can't get it to production quality
  • You need AI features that work reliably with your existing data
  • You're evaluating build vs. buy for AI capabilities

What you get

  • AI feature architecture and implementation plan
  • RAG pipeline design and deployment
  • AI assistant or agent integration
  • Evaluation framework and quality guardrails
  • Production deployment and monitoring setup

Examples

AI-powered search

Semantic search across product data, documentation, or knowledge bases.

Document intelligence

Extract, classify, and summarize information from unstructured documents.

AI assistants

Context-aware assistants embedded in your product workflow.

AI agents

Autonomous agents that complete multi-step tasks with human oversight.

How I approach it

  1. 01Start with the business problem, not the technology
  2. 02Design for reliability with evaluation and guardrails from day one
  3. 03Build incrementally — ship a useful v1, then iterate
  4. 04Integrate with existing systems rather than replacing them

Ready to discuss your project?

Tell me about your ai applications needs and I'll respond within 1–2 business days.

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