Everyone’s Building AI Agents. Co-Founders Explain Why That’s a Mistake. скачать в хорошем качестве

Everyone’s Building AI Agents. Co-Founders Explain Why That’s a Mistake.

Agentech AI vs. AI Automation: Key Differences, Risks, and Benefits What’s the real difference between agentic AI and deterministic automation — and when should you use one over the other? In this episode, we break down the architecture-level distinctions between AI agents (LLMs connected to tools) and traditional automation workflows. We discuss determinism vs. non-determinism, hallucination risk, scoring protocols, guardrails, context window limits, and why architecture often matters more than the model itself. If you're an operator, engineer, or AI decision-maker trying to figure out whether you actually need agents — or just better automation — this conversation will help you avoid unnecessary complexity and focus on outcomes. ⏱ Timestamps 0:00 Introduction - Why Agentech vs Automation Matters 2:15 What Is Agentic AI (LLMs + Tools) 5:42 Determinism vs Non-Deterministic Systems 9:30 Hallucination Risk and Drift 13:10 Multi-Level Guardrails and Detection Agents 17:45 Scoring Protocols and Auto-Regeneration 21:05 Model Choice vs Architecture Design 24:18 Context Window Limits and Failure Mode Website: https://truehorizon.ai Get A Free AI Audit!: https://www.truehorizon.ai/assessment #aitransformation #aiautomation #digitaltransformation #enterpriseai #workflowautomation #changemanagement #aiadoption