Real outcomes from AI systems I've built. No hypotheticals: actual savings, measurable output increases, and infrastructure that compounds every week.
A coach paying over $3,500 a month for generic agency content now runs three AI employees that research, write and improve themselves every week.
97% cost reduction compared to the agency
Read the case study → Insights & SimulatorA research agency wanted people to explore its survey results and ask questions in plain English. I built the system that makes sure the AI never gets a number wrong or gives away who said what.
0 numbers made up by the AI
Read the case study → AI Advisory BoardA consulting agency wanted real pushback on its big decisions. I built them a private board of expert AI advisors who debate, challenge each other and hand back a clear recommendation.
12 expert AI advisors, ready whenever a decision needs them
Read the case study → Gamified LearningA course creator wanted students to feel their progress. I built a system where they plug in any course and it builds the game: levels, badges, a boss to defeat and modules that light up as students learn.
Any course, turned into a game automatically
Read the case study → Verified ResearchA marketing company needed research it could put in front of clients. I built them an AI research team that tests, fact-checks and files every finding.
5 AI specialists, each checking the work before it
Read the case study → YouTube StudioA YouTuber was doing every job on their channel by hand. I built them a control room where AI agents find ideas, write outlines, make thumbnails and edit the footage.
4 AI agents, from first idea to finished edit
Read the case study → AI Ads SystemA Facebook ads agency was making client ads on gut feel. I built them a system that finds where sales are lost, creates new ads every week and learns from what actually sold.
Weekly new ads, built on what actually sold
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