The Death of AI Slop: Why Your Business Needs a Human Stamp | Lazy Leverage #94

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Jan 27, 2026

They debate where AI should end and human judgment must begin. They introduce an engineering-style “wet stamp” for accountability on load-bearing work. They argue for clear green/yellow/red rules so teams know what to automate and what needs review. They also cover media strategy for small businesses and practical steps to build authentic, opinionated content.

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ANECDOTE

The Wet Stamp Engineering Analogy

Peter Lohmann describes how engineering uses a licensed professional to "stamp the drawings" as final accountability.
The licensed engineer reviews work and applies a wet ink stamp attesting structural safety.

ADVICE

Require A Human Stamp On High-Stakes Outputs

Implement a human 'stamp' or certification step for AI-generated work that affects customers or decisions.
Hold a named person accountable so automation can't blame errors on the system.

ADVICE

Publish A One-Page AI Playbook

Create a simple company guide (green/yellow/red) that maps task types to allowed AI usage and review requirements.
Leaders must write and train teams on where AI is acceptable and where human oversight is mandatory.

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As a business operator in 2026, one of your top responsibilities is to ensure your team knows exactly when AI stops and human judgment starts.

Jon and Peter tackle the confusing middle ground between "use AI for everything" and "never let AI touch our work”.

Drawing from Peter's engineering background, they introduce the concept of "stamping the drawings". That’s a professional engineering practice where junior staff produces work, but a licensed engineer must review and approve anything load-bearing.

Applying that to business, certain outputs demand human oversight. For other outputs, it may not be necessary.

Jon’s hard line is, if you're manually transcribing meeting notes instead of using Claude, you're fired. That said, if you're sending AI-generated responses to your biggest customer without review, you're also fired.

They discuss why employees are confused when leadership says "use more AI" but punishes them for using it in high-stakes contexts.

They argue that, rather than simply enforcing a new set of rules, companies should create frameworks that identify which tasks are procedural (automate freely) versus which are strategic, customer-facing, or load-bearing (human review required).

Your competitive advantage isn't some unique AI strategy. It's knowing which decisions only human beings should be making.

KEY TOPICS
(03:15) The Golden Mean of AI: Why most businesses are either under-utilizing AI or using it so poorly it becomes a liability.
(05:50) When AI is Mandatory: Jon’s rule: Why failing to use AI for mechanical tasks like meeting summaries is a "fireable offense".
(08:20) Defining "AI Slop": The dangers of letting automated responses run wild in internal communications and high-stakes customer relationships.
(11:10) The "Professional Engineer" Analogy: Peter explains the concept of the "Wet Stamp" - why every AI output needs a human signature of accountability.
(15:30) System Design & Man-in-the-Loop: How to build a workflow where the buck stops with a human, even when AI does 98% of the work.
(19:45) Tool Spotlight: Granola & Claude: Why Jon prefers "invisible" AI tools that augment live conversations without intrusive bots.
(24:10) Navigating the AI Backlash: Understanding why the public is souring on AI and how to avoid the "low-level gimmicky" trap.
(27:30) Media as Leverage in 2026: Why business owners (from roofers to lawyers) must stop renting attention and start owning their own media channels.
(32:15) Permission-Based Marketing: Moving away from interruption and toward building a "tribe of affinity."
(37:00) The "Be Weird" Mandate: Why authentic, opinionated content beats "safe" AI-generated posts every time.
(47:00) Measuring Success: Why 100 loyal listeners are worth more than 10,000 random views for high-ticket businesses.
(50:15) Why there is "bitter triumph" in pushing boundaries.