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AI engineering service

AI prototyping and workflow advisory

Find the useful AI opportunity, expose the risks early, and test it before committing to a larger build.

Discuss a project

A good fit for

  • Teams with an AI idea but no clear first implementation
  • Leaders comparing tools, models, and build-versus-buy options
  • Existing prototypes that look convincing but have not survived real inputs

What the engagement produces

  • Workflow audit and opportunity map
  • Build-versus-buy recommendation
  • Focused prototype or technical spike
  • Evidence, limitations, and a practical next-step plan

The working loop

A small system, verified end to end.

The first release should settle the riskiest question and leave a clear path to production—not hide uncertainty behind a polished interface.

  1. 01Interrogate the problem
  2. 02Test the riskiest assumption
  3. 03Make the next decision clear

Relevant evidence

Work that supports the offer.

Private work is labeled private. Public work links to something you can inspect.

ApplyMate

A public privacy-first browser experiment using on-device AI for repetitive job and lead workflows.

View public proof

Public and private prototypes

Applied work across browser AI, RAG, desktop workflows, and full-stack product systems, labeled by maturity and evidence.

Project inquiry

Start with the process you want to improve.

A rough description is enough. I can help turn it into a scoped, testable first release.

Email Joseph