Meet the AI Framework That Turns LLMs Into Fully Transparent Machines

Most AI development tools hide what's happening under the hood. Scott Vance built the opposite. Convo Lang is a plain text framework that exposes every part of the AI interaction process, making context engineering precise and visible. In this episode of Lead with AI, host Dr. Tamara Nall speaks with Scott, a creator and developer from Cincinnati who spent nearly 20 years building software tools. Scott explains how Convo Lang started as a small library to eliminate repetition in his AI projects and evolved into a comprehensive framework for developing AI-native applications. He describes how every interaction with an LLM gets stored in local files you can review, helping developers understand how AI reached specific decisions. Scott shares how he used his new tool Convo Make to complete a week's worth of work in just a few hours, generating an entire application frontend and backend including security rules in one shot. He reveals his vision for language models that can interpret code written specifically for AI rather than forcing models to generate the same code humans have been writing for decades. For developers frustrated by tools that treat AI interactions like black boxes, Scott demonstrates what becomes possible when you expose the full context and make every message visible in plain text format you can read and organize. Follow or Subscribe to Lead with AI Podcast on your favorite platforms: Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | Email: Tamara@LeadwithAIPodcast.com Follow Dr. Tamara Nall: LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com Follow Scott Vance: LinkedIn: @scott-vance | Convo Lang AI: Learn.Convo-Lang.ai | Email: scott@convo-lang.ai