In a recent LinkedIn post, Teresa Torres shares a compelling personal narrative about her transformation from an AI skeptic to a builder of multiple AI products, despite a non-engineering background. Torres frames her journey as a testament to the power of continuous improvement and the compounding effect of small, consistent steps.
She highlights how an unexpected event—a broken ankle—became the catalyst for her exploration into artificial intelligence. This period of enforced downtime, coupled with a willingness to become curious, set her on a path that dramatically reshaped her professional work within a year.
“I’m going to tell you my story because I think it’s an amazing story of continuous improvement, of how teeny-tiny steps compound over time.”
The Power of Small Experiments and AI Evals
Torres emphasizes that significant product development can stem from seemingly minor experiments. She reveals that her first AI tool was launched just three weeks after she began experimenting, illustrating how initial curiosity can quickly snowball into tangible outcomes. This rapid prototyping was facilitated by what she identifies as a crucial missing discovery habit: AI evaluations.
According to Torres, AI evaluations provide a vital feedback loop that enables continuous product improvement. She elaborates on this in her post:
“Why AI evals became the missing discovery habit—a feedback loop that helped me continuously improve my products”
This iterative process, driven by consistent feedback and small adjustments, allowed her to refine her AI creations effectively. Torres suggests that these personal productivity experiments, centered around AI, ultimately equipped her with the necessary skills to build production-ready AI products, even without a traditional engineering foundation.
Bridging the Gap: Customer Talk and AI’s Role
While embracing new AI capabilities, Torres maintains a strong belief in the enduring importance of customer interaction. She asserts that AI should be viewed as an additive force, enhancing rather than replacing the need for direct customer engagement. In her view, AI offers new opportunities to augment existing processes and deepen understanding, working in tandem with traditional discovery methods.
The Hero’s Journey Framework
To contextualize her significant personal and professional evolution, Torres utilized the hero’s journey framework. This narrative structure helped her make sense of her transformation, mapping her progression from skepticism to active creation. This approach underscores her message that technical barriers can be overcome through curiosity and persistent effort.
Torres points out the accessibility of learning resources:
“You don’t have to be an engineer to figure this out. You have access to expert tutors 24/7, and teeny-tiny steps compound over time.”
She cites several examples of the AI products she developed, including an Interview Coach, a Business Fundamentals Coach, and AI-generated interview snapshots, showcasing the practical application of her insights. Her experience serves as an inspiring case study for professionals looking to leverage AI and embrace continuous improvement, regardless of their initial technical expertise.
📝 About This Content
This article is based on insights shared by Teresa Torres on LinkedIn.
📅 Originally posted on August 5, 2026 | View original post on LinkedIn →