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About

GTM Engineer at Magnetiz. I build production AI agents that run revenue operations for B2B SaaS revenue teams.

Every company wants to use AI. Very few know how to wire it into their go-to-market and make it produce revenue. The hard part is operational. Which processes become agents, how those agents interact, how you know they are working, and who is accountable when they are not. That is the gap I work in.

What I'm building

Maestro, a full agentic revenue system I architected end to end. Eval-gated agents implemented directly into a team's revenue processes and workflows, live on a multi-workflow engagement. There is a public demo at revwisely.com/maestro.

The delivery loop, an agent pod that runs client delivery. A weekly sync transcript goes in, executed and tested work comes out, and the next meeting's deck drafts itself, with human gates wherever the work carries risk.

Templatiz, an AI-powered content OS and my one personal project. 200 beta users, 700+ on the waitlist.

Everything points at the same goal. Productized agentic GTM. Build the system once, run it for every client.

How I work

Operator-framed. Open with the business outcome, build the system in the middle, close with the metric or principle that locks the lesson.

Eval-first. Every agent output passes a binary-per-axis check before autonomous status. 5+ consecutive passing runs across all axes is the gate. Autonomy is earned from evidence, never granted.

Capability over vendor. The pattern matters more than the tool.

What I'm exploring

Agent security beyond permission scoping. Ephemeral credentials, trust boundaries, and enforcement at the infrastructure layer. System prompts are advisory.

Self-learning agent systems. Feedback loops that promote patterns from episodic memory into standing lessons, so the system gets smarter with every run.

The longer arc

5+ years across GTM engineering and RevOps. Before that, 14 years operating a P&L as a founder, where the tech stack the business ran on, including customer-facing AI agents processing live orders, was mine to build and keep alive.

Off the clock I surf Huntington Beach and overland off Highway 395.

Selected builds
Maestro, an AI revenue platformthe Maestro AI Revenue System, architected end to endThe Delivery Loop, an agent pod for client deliveryan agent pod that runs client deliverySignal-based outbound rebuildsignal-based outbound rebuildProduction-ready AI agentsproduction-ready AI agentsHubSpot and Salesforce as one systemHubSpot and Salesforce as one systemDeal-risk surfacing across Salesforce, Gong, and emaildeal-risk surfacing across Salesforce, Gong, emailTemplatiz, llm-powered content OSpersonalllm-powered content OS
Elsewhere