Case Studies

Built and Deployed.
Not Prototyped.

Real systems. Real clients. Numbers you can verify. Here's what the work actually looks like.

How It Works

92% API cost reduction

4x Speed increase on key workflows

<60 sec Replaced a 22-step manual process

97% Token reduction on repeated tasks

3+ Years deploying AI in production

Slash: A Business AI Partner for Lidor Levy

Lidor needed a system to run his entire business solo - content, research, strategy, calendar, and social media. We built Slash.

1 system Runs content pipeline, research, CRM, calendar, and social media

Why I stopped building custom API agents and built a local Agentic OS instead - and how it cut costs by 92%.

92% API cost reduction vs. custom agent approach

Schooler was holding the content back. We rebuilt the entire LMS from scratch - production-ready in 4 days.

4 days Full LMS migration to production

Responder.live had no automation API. We built a Playwright-based browser pipeline that gave us full API-level control anyway.

0 → full Newsletter pipeline automated - no API required

If something in these case studies looks like your situation - let's talk. A 60-minute mapping session is enough to know if there's a fit.