Insights
Topic articles tied to the LinkedIn publishing cadence: the full-length landing page for each short-form post. New entries added as they publish.
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From Single Player to Multiplayer: How Team-Based AI Changes Program Delivery
AI is moving from a private assistant for one person to a shared assistant for the whole team. What multiplayer AI is, how it differs from single player AI, and how richer team context speeds requirements, design and code across project, program and portfolio management.
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Token Smart, Not Token Frugal: A Practical Guide to Cutting AI Waste
Token anxiety is showing up across every organization running AI at scale. The key ideas behind being token smart with AI spend, and a practical list of habits and checks that prevent token waste before it shows up as a surprise bill.
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Structuring Documentation So Claude Projects Can Use It
An AI knowledge base is not a storage closet. The Weekly Diary and Living Status Doc model, file-type rules, and how to handle conflicting sources so Claude Chat Projects and Cowork Projects give reliable answers instead of noise.
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What a Proof of Concept Taught Us About AI-Assisted Software Development
A practitioner's field report from an AI-assisted development proof of concept: why acceleration only pays off when it's paired with defined requirements, deliberate architecture, traceability, and disciplined human review.
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Claude Chat Projects vs. Cowork Projects
Two Claude features share the word "Projects" but solve different problems: persistent conversational context versus a real local execution environment. A side-by-side comparison and a practitioner's take on choosing between them.