Quality is a system.
Not a final inspection.
Clear requirements, sound architecture, controlled changes, and visible delivery. The development ecosystem is the foundation of my work. Prototyping and owner's rep support are independent offers, not steps in a funnel.
Put every change through one pipeline.
Code and declarative changes belong in the same controlled delivery process. People should be able to contribute without knowing an IDE or version control inside out, but their changes should still be versioned, tested, and released through the same gates.
I've designed an ecosystem around Salesforce base packages, GitHub Actions, agent skills and prompts, and automated testing. Architecture, coding practice, DevOps, and governance are designed to work together.
- Requirements and specifications that preserve business intent
- Version control for code and configuration
- Automated tests and quality gates before production
- Change management and a shared CI/CD pathway
- Observability and DORA metrics to make delivery visible
Agent-driven actuation depends on the quality gates and test automation being in place. Generating a change and safely releasing it are different capabilities.
The aim: software you can keep changing, trusting, and growing.
Prototype the requirement.
Business users know what they need to accomplish. Translating that into a specification is where expensive back-and-forth and rework often begin.
My AI-driven prototyper builds in a Salesforce scratch org. A business user can describe the idea, see a working version, and refine it. The result includes structured requirements and specifications, so the prototype becomes a shared reference rather than a vague handoff.
A prototype makes the conversation concrete. It does not replace the engineering and testing required for production.
Level the playing field.
You should not have to take the seller's word for the quality of the work. Yet Salesforce customers often lack the technical information needed to evaluate a firm, contractor, or employee, or to turn a business objective into a clear requirement.
AI can make the supplier faster and cheaper to operate without making the client's outcome better. Savings may stay with the supplier, while the client inherits the code, the maintenance, and the risk.
As your owner's rep, I bring independent engineering and business judgment to your side of that conversation: what to build, how it connects to the objective, who can deliver it, and how to evaluate the result.
Fixed-scope support includes project readiness assessments, RFP writing, evaluation rubrics, and technical scoring. The aim is to replace information asymmetry with decisions you can understand and defend.
The fundamentals work
with or without AI.
Human developers can produce fragile systems too. The controls belong around the work, not around a particular kind of worker.