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Articles and notes.

Guardrails that Scale: A Practical Safety Layer for AI Automation

Mon Dec 15 2025

How to ship an AI assistant that stays helpful under pressure: hard constraints, grounding, verified tools, and monitoring—built as a system, not a prompt.

4 min read • Operations • Safety

The KPI Tree: From AI Activity to Margin

Mon Dec 08 2025

A measurement model for AI automation that ties quality and trust signals to revenue, cost-to-serve, and contribution margin—so weekly reporting drives decisions.

3 min read • Measurement • CX

AI ROI for SaaS: Build vs Buy vs Partner (and the Hidden Costs)

Mon Dec 01 2025

A practical decision framework for shipping AI with speed and accountability: total cost of ownership, differentiation, and the risks that kill payback.

2 min read • Strategy • SaaS

The Automation Flywheel: From Tasks to Workflows to Compounding Advantage

Mon Nov 24 2025

Where AI automation actually sticks: start with repeatable workflows, instrument outcomes, and let coverage compound over time.

2 min read • Automation • Operations

Productizing AI: From Feature Demos to a Reliable Platform

Mon Nov 17 2025

How to turn prototypes into durable value: evaluation gates, UX constraints, tooling, and a release cadence that doesn’t break trust.

2 min read • Product • Reliability

Pricing AI: Value Metrics, Packaging, and Avoiding Usage-Based Traps

Mon Nov 10 2025

A clear way to price AI without punishing adoption: align to outcomes, protect margin, and keep cost-to-serve predictable.

2 min read • Pricing • SaaS

Winning Go-To-Market with AI: Proof, Positioning, and Sales Enablement

Mon Nov 03 2025

In a crowded AI market, differentiation is proof. Build a claims stack, ship measurable wins, and arm sales with credible artifacts.

2 min read • GTM • Strategy

Evals as Release Discipline: How Reliable AI Teams Ship Every Week

Mon Oct 27 2025

A lightweight evaluation system that makes AI improvements safe: golden sets, regression checks, and monitoring that catches drift early.

2 min read • Reliability • Operations

Your Data Moat Isn’t Volume: It’s Instrumentation and Feedback Loops

Mon Oct 20 2025

How to build defensibility with tight loops: event design, error taxonomies, human review, and a learning backlog that compounds.

2 min read • Data • Operations

Agentic Workflows: Where They Work, Where They Fail, and How to Design for Control

Mon Oct 13 2025

Agents are powerful when tasks are bounded. Use permissions, tool contracts, and stop conditions to get leverage without chaos.

2 min read • Automation • Reliability

Token Economics: How to Cut AI Costs Without Cutting Quality

Mon Oct 06 2025

A cost playbook for SaaS: routing, caching, retrieval discipline, and when smaller models beat bigger ones for outcomes.

2 min read • Unit Economics • SaaS

Trust and Compliance for AI Automation: A Practical Path to Enterprise Readiness

Mon Sep 29 2025

Enterprise buyers want answers: data handling, auditability, and operational controls. Here’s how to build trust without slowing down.

2 min read • Security • Compliance

Retention with AI: Turning Product Usage Into Proactive Customer Outcomes

Mon Sep 22 2025

AI can reduce churn when it drives adoption and outcomes. Map signals to interventions and make retention a closed loop.

2 min read • Retention • SaaS

The Operating Model for AI: Runbooks, Ownership, and Weekly Cadence

Mon Sep 15 2025

AI systems degrade without an operating model. Define owners, review loops, and incident playbooks so performance compounds.

2 min read • Operations • Leadership

How to Win in Today’s Market: Speed, Focus, and Compounding Systems

Mon Sep 08 2025

A pragmatic playbook for competitive advantage: choose a wedge, ship weekly, prove value, and build compounding capabilities.

2 min read • Strategy • Execution