Trenton Johnson
Former Product Manager at PayPal. Yale Computer Science. I left PayPal to build AI systems that run in production. That's still the bar: systems a business can depend on from day one, built for real use, real data, and real teams.
We build the workflows you wish your AI tools did on their own.
We sit down with you, map your actual workflows, and hand you a prioritized plan for what's worth automating, whether you work with us or not.
We know the difference between what demos well
and what actually works.
The Problem
You're subscribed to the tools.
The manual work didn't stop.
Most small businesses and agencies are paying employees to do things that could run automatically: moving data between apps, following up on leads, summarizing reports, updating CRMs. Not because the solutions don't exist. Because nobody on your team has the time or background to connect the pieces. The AI tools are there. The workflow is still broken.
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Client reporting that takes hours to compile
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Follow-up emails that fall through the cracks
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Staff copy-pasting between tools every morning
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Proposals built from scratch every time
Step One · How It Works
The Audit
We sit down with you and go through your day-to-day: what tools you use, where time gets lost, what your team does that a system could handle instead. You leave with a written roadmap and a ranked list of what's worth building, scored by effort and impact. No vague findings.
Step Two · How It Works
After the Audit
If you decide to move forward, we build the automations the audit surfaced. We connect your tools, configure the logic, and test against real scenarios. You get working automations with documentation and a walkthrough video, so your team knows exactly what was built and how to use it. Stay on with us for maintenance and new builds as your needs change, or take it from here. Either way, you keep everything.
Who We Are
We live inside the AI stack
so your team doesn't have to.
Jahleel Heath
Los Angeles-based entrepreneur and product builder. Years of AI implementation and application development. I find where AI actually creates value inside a business, then build the systems that make it real.
If you're losing ten hours a week to work that shouldn't require a human, this is what the audit is for.
You get focused attention on your specific workflows, a written summary of what's worth automating, and a prioritized roadmap. If you decide not to move forward after that, you still have the roadmap. No follow-up pitch.
The audit has a clear deliverable. If we can't surface at least three concrete opportunities worth building, we tell you honestly. No pitch, no continued engagement.