Why Now You're Technical Exists
Technical used to mean you could write code. That definition is dead.
The New Definition of Technical
For decades, "technical" meant you could write code. It was a binary: you either had the skill or you didn't. That created a wall between the people who had ideas and the people who could build them.
AI changed that boundary. Today, being technical means you can identify the right problem, define the work clearly, set the human boundaries, and verify whether the result holds up.
Now You're Technical is the publication and learning community from Premise & Practice. It teaches that judgment through Intel, Career X-Ray, and practical ways to understand what is changing and act on it.
The Problem We Saw
Generic AI Training
Broad awareness with little connection to the recurring work you actually own.
Prompt Packs and Videos
Convenient tips with no diagnosis, evidence standard, or support for adoption.
Vibe-Coding Demos
Exciting output that often stops before testing, guardrails, ownership, and real use.
Our Approach
Diagnose the Work
Find the recurring work where AI can create leverage without erasing the human contribution.
Build a Bounded System
Define the outcome, inputs, quality bar, exceptions, and approval points before choosing the tool.
Prove Real Use
Test the result against representative examples, use it in real work, and improve what fails.
About Rusty
Rusty Walters
Rusty leads Data, Innovation & Intelligence at a global industrial technology leader, where he helps nontechnical people use AI in consequential work.
He works at the intersection of AI, work design, data, and adoption. His focus is turning clear thinking into systems people can test and use responsibly.
He created Now You're Technical because access to AI became common while the judgment to choose, verify, and adopt the right work remained scarce.
Intel explains what is changing. Career X-Ray shows what changes for you. Build Days turns one opportunity into a tested system. Executive Advisory helps leaders scale what works.
Who This Is (and Isn't) For
Perfect For
- Mid-career professionals adapting real work
- People who own recurring document, decision, research, or coordination workflows
- Leaders who need a practical answer to what AI changes
- People who want evidence, boundaries, and human accountability
- People who learn by doing and testing
Not For
- Experienced developers seeking advanced engineering instruction
- People looking to launch a startup product in one day
- Anyone wanting only a conceptual AI overview
- High-stakes workflows that are unsafe to prototype
Ready to Get Started?
Read Intel to understand what is changing. Use Career X-Ray to locate your opportunity. Join Build Days when you are ready to act.