About
Rani Ifrah, AI Architect
I build custom AI systems for businesses and professionals. Agents that run real work, not demos. Systems that stay in production for years, not weeks.
Background
Six Years In Defense Engineering. It Still Shapes How I Build.
Before AI, I spent six years in Israeli defense engineering. Systems there run under extreme reliability requirements. Nothing ships until it holds under pressure.
That standard did not stay behind. It shows up every time I design a solution today. It shows up in how I work with coding agents too.
I do not accept a system that "mostly works." An agent gets an approval gate before it acts on anything real. Edge cases get mapped before code gets written, not after something breaks.
That discipline is the actual product. Not the AI buzzword. The engineering standard behind it.
Since 2016
Digimate. One Person. No Employees. No Turnover.
Since 2016 I have run Digimate as a lean, one-person operation. No team, no account handoffs, no junior developer learning on your project.
Average client relationship: 8-9 years. That number cannot be faked on a landing page.
Clients stay because the work stays reliable, year after year. That is the actual track record behind everything I build now.
Since 2023
Full-Time On AI. Building, Training, Deploying.
Since 2023 I have worked full-time building and deploying AI systems. 300+ professionals trained in that time, across companies and individual cohorts.
I built the internal systems I use to run my own business. Content, scheduling, client operations - an agent runs the operational load, not a spreadsheet.
I also run the AI Architects program. A cohort-based Lab where professionals learn to build their own agentic systems, not just prompt a chatbot.
The Toolbox
The Tools Are Not The Point. The Method Is.
I work in Claude Code and Antigravity, on Supabase for real databases. Any automation wirer can name tools like that.
What actually matters is the method underneath. A complete development method that the agent works within - spec, plan, build, verify - every time, on every project.
That method is what lets one person deliver at team level. It is not a pile of tools. It is a system for using them well.
DiGido Method
A Named Methodology. 50+ Practitioners Already Use It.
I built the DiGido Method to make AI-assisted development into real engineering. Spec first, then plan, then execute, then verify.
It is fully portable. It adapts to any team's existing tools and infrastructure, not just mine.
50+ practitioners already use it, including software engineers outside my own client work. It is the structure behind every system I ship.
See The Work, Or Start A Conversation.
Read what the systems actually do, browse the services I offer, or reach out directly.