The Analog Advantage: Why Manual Experience Creates AI Mastery

Leverage analog foundations: use manual craft to judge quality, guide AI output, and know what should not be automated.

Sep 29, 2025 6m 25s

Gillian Salerno-Rebic and Maria Burke

Expert Insights

Gillian Salerno-Rebic and Maria Burke, co-founders of North + Form, profess a deep appreciation for the manual, analog experiences in their respective fields of visual and UX design. They argue that it is this very grounding in traditional practices that equips professionals to harness AI tools effectively.

Gillian and Maria suggest that while AI can speed up the process, it's the expertise of the professional that tells them what to automate and what warrants a hands-on approach.

Look at them illustrate:

Why mastering the craft manually before transitioning to AI-assisted workflows prevents falling into mediocrity.
How maintaining a certain level of skepticism while using AI tools helps in validating and refining one's own expertise.
The balance between leveraging AI for efficiency and retaining human judgment for quality.
Insights into a hybrid approach by using AI to accelerate tasks while relying on experience and intuition for core strategic decisions.
Why contextual understanding and relationship-building with clients continue to be integral to their work.

I feel so fortunate that... I was trained in a more analog time, um, without AI existing because I feel like I am just taking my skills and like letting them run faster in the AI. I have a decade of experience in this. I'm like, what you're gonna output for me is not as good as what I can do on my own. I found it very hard to get a truly like deep human feeling, emotion question out of AI that is gonna still, uh, elicit like a very, um, either long story or recollection that only I think a person could really ask of another person right now.

— Gillian Salerno-Rebic and Maria Burke, Founders, North + Form

THE NEW DEFAULT angle

Here are key recommendations for software development teams undergoing the AI transformation:

Preserve Expertise: Don't rush to automate every process. Recognize the areas that require human creativity and subjective judgment gained through years of experience.
Balance Efficiency with Quality: Use AI for speed, but do not compromise on outputs. Leverage your expertise to identify where AI can enhance results and where it may fall short.
Learn to Delegate to AI: Understand the nuances of when to delegate to AI and when human intervention is required to maintain the quality of output.
Harness AI for Validation: Use AI not just for automation but also as a tool to validate your own expertise. The combination of AI and human intuition can often produce superior results.
Maintain Contextual Understanding: While AI tools can provide efficiency, remember that they can't replace the contextual understanding or relationships that teams build with their clients over time.
Integrate Carefully: Introduce AI in phases, understanding where it adds value and where it falls short. Do not force AI integration where it fails to match human proficiency.
Educate and Experiment: Provide team members with opportunities to experiment with AI tools, understand their potentials and limits, and discern where human skills continue to be critical.