Specialized Track

AI Product Management Track: From Features to Proof Architectures

The operational playbook for product managers building AI systems that can be governed, audited, and trusted.

The $5,000 Click: Why AI 'Features' Are Becoming Legal Liabilities

Every AI chatbot carries a hidden $5,000-per-violation liability. Learn the architectural "Consent Capture Layer" required to de-risk your product.

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Cornerstone Brief

AI Product Management as Governance Design

How to shift from feature planning to behavior design. The operational framework for building governable, trustworthy AI systems.

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System Design Strategy

Control Planes: The Missing Layer in AI Product Strategy

Reliability is a system property, not a model property. A breakdown of the deterministic control plane required to turn probabilistic model outputs into verified production outcomes.

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Framework Deep Dive

The AI Product Risk Stack: Model vs. System vs. Workflow

Where does a model error become a business outcome? A practical framework for prioritizing AI risk across three distinct layers of the product stack.

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Economic Deep Dive

The First 5 Minutes: Why Your AI Product Is Already Leaking Value

Most AI products hit a break-even wall within five minutes. Learn to identify "Inference Slop" and calculate your Contribution Margin per Interaction (CMPI).

Diagnose the Leak →

Diagnostic Framework

Risk Allocation as a Product Responsibility: The Forensic Audit

How to diagnose systemic failure beyond the 'bad model' narrative. A practical guide to localizing root causes and deciding which layer of the stack should own the risk.

Run the Audit →

Ownership Strategy

The Accountability Gap: Why PMs Struggle to Own AI Outcomes

AI breaks the deterministic model of ownership. Learn how to redefine accountability by managing uncertainty and designing systems that absorb failure.

Close the Gap →

Management Playbook