Ep 66 - From Prompts To Process: Building Trustworthy AI Workflows w/ Tianzhen Lin скачать в хорошем качестве

Ep 66 - From Prompts To Process: Building Trustworthy AI Workflows w/ Tianzhen Lin

Send a text (https://www.buzzsprout.com/twilio/tex...) When intelligence is everywhere but correctness is scarce, how do we lead without cutting corners? We sit down with Tianzhen (Tangent) Lin—veteran engineer and systems thinker—to unpack a practical, durable approach to building AI‑assisted products that hold up under pressure. No hype, no shortcuts: just the patterns that make teams faster and safer at the same time. We start by reframing large language models as “eager interns”: fast, helpful, and prone to saying yes. That mental model shifts responsibility back where it belongs—on leaders who must design workflows that surface assumptions, constrain degrees of freedom, and verify outcomes. Tangent explains why context remains a finite resource even with giant windows and how the “lost in the middle” effect undermines long prompts. The fix isn’t more chat; it’s better scaffolding. Specs, plans, and documentation become the backbone for repeatable success because they compress what matters and travel across sessions and teammates. From there, we dig into decomposition as a risk strategy. Breaking work into small, testable steps gives you early checkpoints to catch hallucinated requirements, unsafe libraries, or performance traps—like UI freezes from naive million‑row operations. Tangent shares a late‑night pivot where a strong, technology‑agnostic spec let the team re‑architect in hours, not days, turning a potential rewrite into a near‑seamless transition. We dive into verification as a non‑negotiable, the value of documentation as compressed context, and how institutional knowledge prevents the “sandcastle effect” when requirements shift or the tide comes in. The result is a playbook for leaders navigating an AI‑accelerated world: treat context like budget, invest in durable artifacts, decompose to control risk, and verify relentlessly. Do that well and AI stops being a confident amateur and starts acting like a reliable teammate. If you’re serious about trust, safety, and scalable speed, this conversation will sharpen your judgment and strengthen your systems. Subscribe, share with a teammate who ships software, and leave a review with the one workflow change you’ll make this week. Want to join a community of AI learners and enthusiasts? AI Ready RVA (https://aireadyrva.com/) is leading the conversation and is rapidly rising as a hub for AI in the Richmond Region. Become a member (https://aireadyrva.com/membership-opt...) and support our AI literacy initiatives.