Episode 3: AI Inhibition
- Jerry Overton
- 6 hours ago
- 1 min read
Overview
Safety can’t be layered on top—it has to run through the core. In this episode, we introduce the Inhibitor: a real-time, interruptible safety engine designed to evaluate an agent’s reasoning as it happens. It’s not a content filter. It’s a conscience—built to stop bad decisions before they’re made.
Developed by appliedAIstudio, the Inhibitor is open-source and built for integration. This is where ethical reasoning meets technical execution.
Key Takeaways
What It Is: The Inhibitor is a REST-based service that evaluates agent reasoning and outputs for ethical risk, bias, safety, and transparency.
What It Does: It flags, interrupts, and provides real-time corrective feedback to guide agents away from harmful or non-compliant actions.
Where It Lives: The Inhibitor runs alongside the agent—not inside the model—so it works with black-box systems and can be upgraded without retraining.
Who It’s For: Designed for developers and safety engineers building agents that need to be ethical, auditable, and legally compliant from day one.
Note: All voices in this podcast are AI-generated. No human actors were used.
🔗 Next: Episode 4 – AI You Can Trust
🔗 Explore the Tech: Inhibitor Lab on GitHub