Posts tagged "Systems Thinking"

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Thinking Through Agentic Loops

Exploring how agentic loops extend feedback loops by adding autonomy, iteration, and goal-directed action in systems and AI.

I’ve long been fond of feedback loops. Systems thinking taught me to look for them everywhere: how a fitness tracker nudges you to walk more, how customer signals shape a product roadmap, how our habits form through repeated cues and responses. Feedback loops are elegant in their simplicity: an action produces an effect, which feeds back to influence the next action. Recently, I came across the phrase agentic loops. At first, it sounded like another...
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What Makes a Real Data Moat

Data moats are the key to AI defensibility. Tesla and Stripe show what makes them real and how product teams can build them.

The age of generative AI has created a strange paradox. On one hand, anyone can plug into models like GPT and build features quickly. On the other hand, defensibility has never been more elusive. If everyone has access to the same foundation models, what stops a competitor from copying your product? The strongest answer is the data moat. Done right, it’s the most durable form of AI advantage a company can build. Done wrong, it’s...
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Jobs-to-be-Done - Demand Reducers and Systems Thinking

Explore the demand reducers in Jobs-to-be-Done—Inertia and Anxiety—and how systems thinking helps overcome hidden barriers to product adoption.

In Part 1, we explored the forces that generate demand: the push of dissatisfaction with the status quo and the pull of a better future. Together, they explain why customers look for change and what attracts them to a solution. But even when push and pull are strong, adoption isn’t guaranteed. Hidden forces often prevent products from being hired. These are the demand reducers: Inertia and Anxiety. As Alan Klement describes, these forces are as...
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