Trendkill Systems
AI made your team faster at writing code. Not better at shipping software. We embed with your org for a month, write the action plan it actually needs, and implement it with you until the quality holds on its own.
01 · Services
A VP of Engineering in the room when it matters. Hiring plans that survive contact with reality. A roadmap your investors and team actually believe.
Most teams bought the tools and skipped the operating model. That's backwards. We install the standards that make LLMs and coding agents compound instead of corrode: review gates that hold, guardrails that mean something, and adoption you can measure in shipped work. Not tokens spent and LOC.
02 · Domain
Healthtech, where AI adoption collides with HIPAA. Plenty of consultants will hand you a compliance binder. Compliance should be an engineering constraint and built into your tooling, because a policy document nobody reads has never protected a single patient record.
Clear rules for what LLMs and agents can touch. Which repos, which datasets, which environments and company applications.
Audit trails, access boundaries, and review gates that keep your auditors happy without strangling delivery. Yes, you can have both.
Straight answers about AI vendors. Who signs a BAA. Where your data actually goes. Which tools have no business being anywhere near patient records.
03 · Process
A month embedded in your team. Code, process, people. You get a blunt, written action plan for what's actually slowing you down and what's getting ready to bite you.
Execute the action plan with your team. Standards, rituals, tooling, all held to one bar: solid, compliant engineering that accelerate. Everything is documented, owned by your people, and built to outlive our time together.
An ongoing fractional cadence keeps the bar where we set it. Leadership in your weekly rhythm while the team grows. As your own leaders step up, we step back.
04 · Principal
Trendkill Systems is Terry Harmon. Hi! I have over twenty years building tech companies, from back-of-the-napkin ideas to exit. Most recently I led engineering at Kismet Health from early stage to exit, which is why healthtech is home turf here. Hard problems are fun.
My range runs wide. Eye tracking. Vocal Biomarkers and Live Vital Signs. Ecommerce. Enterprise software Fortune 100 companies rely on. CTO of a venture studio that launched over 70 start ups. Early engineer at an AI audio company building state-of-the-art text-to-speech tools for enterprise. Built one of the first AI Gateways for scaling LLMs in production. Engineering teams scaled from 2 to 30. I've been around the block.
The name is a promise. We kill the trend-chasing so your team can do the work that actually moves the business.
05 · Writing
Every engineering org has an AI strategy deck. Almost none have working agreements for how AI-written code gets reviewed, tested, and owned. Guess where the value leaks out.
Maybe you need senior engineering leadership. Maybe you need an AI operating model that isn't theater. Either way, let's talk.
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