People in the Loop
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AI policy

AI policy

What is allowed, who decides, and what happens when it goes wrong.

13 entries

How to Disclose AI Content

Disclosure costs less than people expect. LinkedIn suggests it, YouTube requires it for real people. Say it before anyone asks.

Is AI Content Plagiarism?

Summarizing isn't stealing. Three things move a piece across the line: attribution, addition, and verification.

What Is AI Slop, Actually?

Slop is sameness, not volume. Fixable by deciding something different each time, not by posting less.

What AI Video Actually Costs

Nobody breaks out the real bill. Ours: 456 credits for a season, mistakes included. Making it was never the expensive part.

Why AI Channels Get Removed

In January, eleven AI channels were deleted from YouTube. None of them lost it for using AI. They lost it for five specific things, and the list is public.

Why AI Content Gets No Reach

A platform reads whether the writing sounds like you, not which app you used to write it.

Three Ways to Spot an AI Video

AI video and voice are good enough that guessing no longer works. Watch the mouth, listen for the breath, and check the hands.

UGC No Longer Proves a Human Made It

UGC used to mean a real customer posting a real review. Now it's a look anyone can produce, some of it AI end to end. Homemade stopped being evidence.

Human in the Loop vs On the Loop vs Out of the Loop

In the loop means a person approves every output. On the loop means a person watches it run. Out of the loop means unattended. How to pick the right one per workflow.

Claude Team vs Enterprise, for a 15-person team

Most teams under 20 to 30 people don't need Enterprise. The real difference isn't the price, it's what happens to your data and who controls it. Here's how to actually decide.

What Is Human-in-the-Loop (HITL) in AI?

Human-in-the-loop means AI systems always include checkpoints where people validate, adjust, or decide. Here's why that matters for governance, trust, and the jobs of the future.

What Is AI Governance, and Why Does It Matter?

AI governance is a framework of policies, oversight, and practices that ensure AI is ethical, compliant, and trustworthy. Learn how to build trust in regulated industries.

AI Transformation Strategy: From Pilots to Scale

Moving from pilots and experiments to enterprise-wide AI adoption with measurable outcomes. Strategy, governance, HITL, and change management.

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