Founders who made the switch saved an average of $106K last year — without losing engineering velocity. See exactly where your money is going.
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AI agents handle two-thirds of the routine work agencies staff junior engineers to do. They haven't passed the savings to you.
Hire at $X, bill at $3X. Your seed round subsidizes their overhead, their sales team, and their CEO's LinkedIn content.
Every handoff loses fidelity. Every misunderstanding is another sprint. The model punishes clarity and rewards confusion.
Startups need learning velocity. An agency has zero incentive to help you discover your spec is wrong. Discovery is a change order.
One person. Embedded in your context. Inside your decision loop. No translation layer. No hourly billing incentive to go slow.
"The industry's core metric shifted from 'how many engineers do you have?' to 'how much agentic leverage can you orchestrate?'"
We look at what you're paying, what you're getting, and where the leaks are. Most founders are shocked when they see the math.
We define the profile, the toolchain, and the operating rhythm for an embedded senior engineer who replaces the entire agency.
Code handoff, documentation, knowledge transfer. You own everything. No lock-in, no surprises, no rescue project.
Their incentives are backwards. The model rewards slow, not good. Here's the math they don't want you to see.
A practical step-by-step guide to extracting your codebase, knowledge, and momentum without a rescue project.
$8K/mo billed becomes $12K effective after scope creep. vs. $3,150 embedded. The numbers, side by side.
AI didn't create this problem. AI made the problem impossible to hide. The math stopped working.