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The Agentic Mindset: From Scripting to Delegating

Stop Scripting, Start Delegating

Setting the Stage: Context is King

🎮 Crossword: Agentic Terminology

Planning and Execution Strategies

The Master Plan: Breaking It Down

State of the Union: Managing Context

Self-Correction and Verification

Trust, but Verify (Automated)

The Self-Healing Loop

Safety, Control, and Human Oversight

The Human Element: Pause and Confirm

Guardrails and Kill Switches

Knowledge Check

Quiz: Agentic Concepts

Quiz: Planning & Context

Quiz: Verification Logic

Quiz: Loops & Self-Correction

Quiz: Safety & Oversight

Feedback

Course Feedback Survey

Designing Trustable Agentic Workflows for Autonomous Execution is a practical, hands-on course for builders who want their AI agents to plan, act, verify, and recover—without babysitting. Instead of brittle, step-by-step scripts, you’ll learn to design goal-driven systems that reason through ambiguity, manage evolving context, and make safe, auditable decisions. Using the “Junior Engineer” mental model, you’ll frame problems so agents understand goals, constraints, and resources—then decompose work, execute in phases, and self-check results. You’ll architect robust state management, build verification and self-healing loops, and add human-in-the-loop controls for high-stakes steps. From planning strategies and context windows to guardrails, kill switches, and pause-and-confirm nodes in Antigravity, you’ll develop repeatable patterns for trustworthy autonomy. By the end, you’ll be able to transform If-This-Then-That scripts into resilient, agentic workflows that ship with confidence, reduce rework, and scale safely across real business use cases.

Course 5: Designing Trustable Agentic Workflows for Autonomous Execution

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            <p>Transitioning from rigid, deterministic scripts to fluid, agentic workflows requires a fundamental shift in how we approach automation. For years, we’ve relied on hard-coded "If This Then That" logic, but as we move toward autonomous execution, that linear mindset becomes a bottleneck. This course is designed to help you adopt a "Junior Engineer" mental model, where you stop micromanaging every line of code and start delegating complex goals. We will explore how to move beyond simple scripting to build systems that interpret intent, leverage deep context, and navigate probabilistic paths to reach a defined objective without needing a step-by-step manual for every possible edge case.</p>

<p>Building autonomy is only half the battle; the real challenge lies in making that autonomy trustable. We will dive into the mechanics of sophisticated planning, learning how to decompose massive objectives into discrete, manageable phases while maintaining a robust state across the entire execution. You’ll learn to implement self-healing loops and automated verification steps that allow agents to critique their own output and correct errors in real-time. Finally, we’ll tackle the critical safety layer, integrating human-in-the-loop oversight and hard guardrails to ensure your autonomous workflows remain secure, predictable, and aligned with your high-stakes requirements.</p>
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