8 July 2026 Pro Mastermind Presentation

If your AI software project keeps stalling after completing only a handful of tasks, the problem probably isn't your token budget.

In this Mastermind session, Kent Langley explains why complex AI-assisted builds grind to a halt—and how to fix the real bottlenecks. Learn why project scope, model selection, orchestration, and iterative loops matter far more than simply increasing context windows or buying more tokens.

You'll discover:

Why "it's out of tokens" is usually the wrong diagnosis. How to break large, ambiguous projects into buildable software. The difference between using a single model and an orchestrated team of AI agents. How self-running loops enable AI to work autonomously until success criteria are met. Why your proprietary context is your greatest competitive advantage—and how to package it for AI.

Whether you're building software, automating workflows, or creating AI-native products, this session provides a practical framework for moving from stalled conversations to continuous execution.

Ideal for: Founders, builders, developers, and AI practitioners creating complex products with large language models.