Your Kanban Board Ends Too Early
Does your board stop at deliverable and output, or does it go towards outcome — the changed behavior for somebody? Most boards stop at deployed, and that is what teaches people deployment is success.
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Scaling AI
From Activity to Impact
Real lessons from the consulting floor on turning AI experiments into compounding capability. Practical insights on AI execution, portfolio agility, and modern product operating models.
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What You'll Get
Insights drawn from 17+ years of consulting work with 50+ organizations — the patterns that actually move the needle.
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Scaling AI Impact
Moving from isolated AI experiments to compounding business value
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Portfolio Agility
Funding, prioritizing, and governing across a portfolio of AI and product bets
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Product Operating Models
Evolving your operating model to support continuous AI and product execution
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AI Development Lifecycle
Bringing flow, safety, and rapid feedback to AI software engineering
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Outcome Focus
Connecting execution to strategy to ensure AI investments actually move the needle
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Delivery Flow
Finding and fixing the real bottlenecks in modern delivery systems
Who writes this
I'm Yuval Yeret — an Agility, Product, and Scaling Coach helping leaders improve focus, flow, and speed to impact. Whether you're launching products faster, delivering strategic initiatives, or operationalizing AI, I write from the consulting floor about what it actually takes to build an operating system that creates better outcomes without burnout or theater.
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View all posts »A sample of what lands in your inbox — practical, experience-based, no fluff.
Flow ·
Flow Metrics: The Problems They Help You See
Flow metrics aren't useful because metrics are good. They're useful when important work is slow, blockers show up late, and forecasts keep missing.
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How to Calculate Kanban WIP Limits in the AI Age
Starting numbers for active work and queues, covering solo and multiplayer spec-driven development, pod topology, flow buffers, and replenishment cadence.
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Flow ·
Outcome Framing Coach: From Output to Outcome
A new open-source AI agent skill to help teams rewrite their work items from output/activity language to outcome-oriented language using a simple taxonomy.
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