Duncan Rogoff | AI Automation Trust Score

Nutrition Label

Duncan Rogoff provides a mix of practical technical walkthroughs for AI agents and high-hype content promising rapid financial returns. While his step-by-step tutorials for tools like OpenClaw and Claude Code are grounded and useful, his videos focusing on income generation often lack the same level of rigor and evidence.

Strengths

+Accessible guides for complex agent frameworks
+Hands-on demonstrations of coding workflows
+Clear step-by-step setup instructions

Notes

!Technical walkthroughs offer reliable value, while revenue-focused videos often lack verifiable proof.
!Verify tool capabilities independently when titles use sensational terms like "unstoppable" or "destroys."

Why this score

Experience Authenticity · 15:35

“The creator includes a specific section titled 'How to Debug API Errors', demonstrating the friction points and troubleshooting required in the development process rather than just a polished success path.”

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Trust Breakdown

Evidence Quality

6.4

Firsthand Access

7.1

Analysis Quality

6.2

Depth & Nuance

6.3

Disclosure Clarity

7.1

Framing Integrity

7.0

Mixed / General Lens: Scored with the default trust weighting.

Confidence pending. Based on 10 long-form videos.

These six Trust Core outputs drive the public creator rating. Communication affects discovery ranking separately. Methodology →

Duncan Rogoff | AI Automation

Nutrition Label

Strengths

Notes

Why this score

Trust Breakdown

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