AI consulting in Canada, focused on building
Work with an engineer who helps turn a defined need into a system your team can use and maintain. We agree the scope and fixed price before work starts, then build in your environment.
Discuss your projectI’m Jay Rodrigues. I lead AI LuaHaus and do the implementation myself, working alongside your team or existing provider. Based in Ontario, I work with Canadian organisations remotely or on site, with location and sector requirements confirmed during scoping.
About JayChoose the starting point that matches your situation
You do not need to arrive with a technical specification. Bring the task, what you have tried and the systems involved. These are the five existing engagements we can scope together.
| Your situation | Engagement |
|---|---|
| You need to find out whether a use case works on your data. | AI proof of concept Build and test one use case on your data in up to six weeks. Get the code, the evaluation results, and a recommendation on taking it to production. |
| The use case has been tested and needs to become a production application. | Production AI application Take a proven use case to production: build the application, set up the infrastructure, deploy it, instrument it, and hand it over to a named owner. |
| An existing workflow needs an AI capability connected to named systems. | AI integration Connect an AI capability to one workflow your team already runs, with agreed permissions, tests, and human checks. |
| Your team needs environments, access and a deployment foundation to build on. | AI platform setup Set up the foundation your team builds AI on: model access, environments, secrets, a deployment pipeline, logging, evaluation, and cost controls. |
| An assistant or agent already runs and needs specific testing or operational improvements. | Production hardening Add tests, access controls, monitoring, and deployment checks to an existing assistant or agent. Document what was tested, its limitations, and the work that remains. |
From a first conversation to a paid scope
Describe the work
Tell us the task, who owns it, the systems involved and any timing or budget constraints. The introductory call helps establish whether there is a suitable engagement.
Agree the engagement
We define deliverables, access, acceptance checks, price, release responsibilities and a maintenance owner before paid implementation starts. Any further consulting work has its own agreed scope.
Build and hand over
The work and evidence follow the selected engagement. A proof of concept ends with a prototype and evaluation; a production build includes deployment. Your team receives the agreed code, notes and remaining limitations.
Questions worth answering before commissioning a build
A useful first message
Describe one task and what you want to change. Name the systems and the person who would own the result. Mention timing or budget constraints if you have them. Keep confidential documents, customer data and credentials out of email.
Discuss your project