AI & software

AI & software projects

AI is most useful when it is connected to a real workflow, trustworthy information and a product people can actually use.

Useful applications

Search, assistance and automation that fit the way a team already works.

Responsible integration

Clear boundaries around data, sources, permissions and what a user still needs to verify.

Existing products

Add AI to a Laravel or PHP application without discarding the valuable parts of the current system.

From prototype to production

A working prototype is only the start. I help make the surrounding product reliable and maintainable.

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FAQ

Frequently asked questions about applied AI

When is RAG suitable for business documents?

RAG is useful when answers need to rely on a bounded, current knowledge source and users need to trace the supporting sources. Document quality, access controls and evaluation remain essential.

What can an AI agent execute safely?

An agent can use tools, APIs and data sources under controlled conditions. I use limited permissions, structured inputs and outputs, logging and human approval for consequential actions.

How does an AI prototype move into production?

Beyond the model, production requires evaluations, privacy controls, cost management, error handling, monitoring and a clear user flow. I include that product layer in the architecture from the start.