Build Beyond Belief
You already know how to ship software. The rules changed. In 8 weeks, ship real AI work you can point to: tools, judgment, and a workflow that compounds.
Production engineering at Microsoft and John Deere. Practical AI systems through Sagaciasoft. $500 assessment, credited if you enroll within 7 days.
Roughly 7 to 12 years in. Expensive enough to feel the squeeze. Senior enough to know autocomplete is not a career strategy.
You have shipped real software, but AI still feels bolted onto your workflow. You want to plan, build, test, document, and explain real work with AI without losing production judgment.
Your team does not need another vague AI presentation. They need practical patterns, clear guardrails, and examples that hold up for engineers who maintain what they ship.
The broader belief still applies: if you can describe the workflow, you can find the leverage. Start with the Builder’s Blueprint or the project questionnaire.
$500. Ninety minutes plus a written plan. We map leverage, rank projects, and pick the shortest useful 8-week path.
Most people join Refactor Lab. Private 1:1 is for urgent or sensitive work when that seat is open.
Weekly cadence. Real code. A useful AI-native artifact you can demo, document, and point to.
Paid entry is the Refactor Assessment. Most engineers then join Refactor Lab. Private 1:1 is reserved for urgent or sensitive work.
90 minutes plus written follow-up. We map where AI creates real leverage for your work, choose candidate projects, and define the shortest useful 8-week path.
A tight cohort of senior engineers. One weekly 90-minute build session, bounded async feedback, and a ship cadence that ends with a useful AI-native artifact.
Private coaching for urgent, sensitive, or high-value work. We pair on your actual project, workflow, and positioning until the artifact ships.
Ready to map the project? Book the Assessment. Already sure about the cohort? Apply to Lab.
Book a Refactor Assessment Apply to Refactor LabThese are early coaching wins with permission to share. The paid Refactor path is newer and engineer-first. The pattern is the same: pick a real project, ship something you can point to.
“Nathaniel always knows where I’m at. He never overwhelms me. He lets me discover things on my own, then has a tip for where to aim next. Thanks to him, my personal finance app went from janky and slow to super smooth and responsive.”
“I’m an electrician by trade, and while I worked 58 hours a week wiring AI data centers, Nathaniel taught me, in my off-time, how to use AI to launch two businesses. He knows the tech field, is flexible, and non-judgmental.”
“I came in with the game idea and he walked me through actually building it. He kept pointing out things the game needed that I would never have thought of.”
Engineer-specific Refactor Lab case studies land here after the first cohort ships. Until then, these are the clearest artifact stories I can put my name next to.
If you show up, do the weekly work, choose a realistic project by the end of week one, and do not ship a useful AI-native artifact by the end of 8 weeks, I keep working with you at no charge for up to 4 additional weeks until you do.
No income promises. No promotion promises. Just a concrete commitment to shipping something real.
A 20-minute self-check for experienced engineers who want to know whether they are becoming AI-native or just using better autocomplete.
For engineers who want a clearer AI workflow before they spend $500 on an Assessment.
Not an engineer? Start with the Builder’s Blueprint.
Most AI coaches have never shipped production software. I have. Production systems at Microsoft and John Deere. AI systems through Sagaciasoft and public builds. Coaching senior engineers on AI adoption inside a Fortune 500 engineering org.
Build Beyond Belief is the coaching arm of Sagaciasoft. For engineers, the goal is sharp: become AI-native without giving up the judgment that made you senior in the first place.
First paid step
Bring a real workflow or project. In one Assessment, we name the leverage, pick the 8-week build, and decide whether Lab or private pairing is the right container.
“He never overwhelms me. He lets me discover things on my own, then has a tip for where to aim next.” Isaac Young