Services - AI web development

The business problem

A useful AI feature needs a clear job, trustworthy inputs and a way for people to review its output. I help teams connect AI capabilities to the interfaces and systems their users already rely on.

A good fit

A team with an existing application or defined business workflow, access to its source material, and an owner who can judge output quality.

Typical architecture

A React or Next.js interface connects to a server-side model integration. Typed contracts validate requests and responses. Retrieval is added when answers require current source material, with citations and an explicit fallback when evidence is missing.

Typical deliverables

• Workflow and data-flow design, including what the model may and may not do.
• An integrated application feature with typed outputs, review controls and a manual fallback.
• Evaluation examples, failure handling, usage monitoring and a handover guide.

Trade-offs to decide together

Model choice depends on task quality, latency, cost and data handling. Retrieval adds freshness and traceability, but also ingestion and maintenance work. A deterministic workflow can be the right choice when the task has fixed rules.

Reliability, security and accessibility

Keep secrets on the server, limit input and output size, validate structured responses, and require approval before external actions. Test unsupported claims, prompt injection, refusals, timeouts and provider failures.