Blue Sky Insights
Ideas about building, leading and redesigning product organizations in the age of AI
Over the past few years, I've been exploring how AI changes the way we build products, organize Product & Engineering teams, and ultimately how we lead software companies.
These ideas combine lessons from years of building and scaling Product & Engineering organizations with hands-on experiments building AI-native products and new ways of working.
I share these ideas as LinkedIn posts, where they benefit from discussion and challenge. This page brings them together in one place - from first principles and operating models to practical field notes and leadership lessons.
First Principles
Foundational articles exploring why AI changes the economics and assumptions behind modern product organizations.
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AI Agents May Accelerate More Than AI Agents
04-Aug-2026: AI Agents may have an important second-order effect: accelerating democratized workflow automation by getting organizations to rethink work that has remained unchanged for years.
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From Personal AI to Organizational AI
28-Jul-2026: The bigger AI opportunity may be moving from personal AI that improves individual productivity to structural AI that redesigns how teams work together.
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AI may be accelerating confidence faster than
competence
09-Jun-2026: AI makes building easier than ever, but judgment has not become easier with it. Are we sometimes confusing reduced friction with reduced complexity?
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Reflections from SaaSiest 2026 Malmø about AI
adoption
12-May-2026: At SaaSiest, the AI conversation had shifted from why AI matters to how leading SaaS companies are redesigning their operating models - but the gap is widening.
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Why SaaS Isn't Going Anywhere
03-Mar-2026: My take: AI is changing the build-vs-buy equation, but building software isn’t the same as building enduring SaaS. The bar for SaaS isn’t disappearing - it is getting higher.
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The Difference Between AI Adoption and AI
Transformation
03-Feb-2026: Most organizations are good at evolutionary change. But realizing AI’s bigger potential requires something more revolutionary - redesigning work, not just optimizing it.
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Be a Scientist, Not a Magician
21-Oct-2025: Forget the magic prompt and the perfect incantation. Working well with AI is more science than wizardry - experiment, adjust, learn, and build the right system around it.
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Average AI Adoption May Already Mean Falling
Behind
09-Sep-2025: AI is evolving so fast that the “middle of the pack” may not be a safe place to be. With a technology this transformative, average adoption could quietly become falling behind.
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The Lean Startup, Reimagined for the AI Era
28-Aug-2025: AI is changing what “lean” can mean for startups - compressing the cost and speed of experimentation, and challenging old assumptions about how we build, fund and govern innovation.
AI-Native Product Organizations
Articles about operating models, organizational design and how Product & Engineering teams evolve in the age of AI.
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Why Product Organizations Look the Way They Do
01-Sep-2026: AI may be changing more than how we build software. It may be changing the very assumptions that shaped today's product organizations in the first place.
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The Rise of Smaller Teams per Outcome
23-Jun-2026: AI may do more than make individual roles more productive. As disciplinary boundaries become easier to cross, it could enable smaller, broader teams organized around outcomes rather than specialist handoffs.
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AI is changing what good leadership looks like
15-May-2026: As AI accelerates execution, leadership needs to shift from directing work to shaping the context, systems and judgment that keep teams focused on the right outcomes.
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If your product workflows are not data-driven soon,
you will be left behind
07-Oct-2025: AI can amplify product decision-making - but only if there is something solid to amplify. Opinion-driven workflows accelerate noise; data-driven ones accelerate learning.
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Agentic Coding Lets Engineers Focus on Engineering
16-Sep-2025: What if AI could take more of the routine complexity out of software development - and leave engineers more time to do the epic sh.t that actually needs them?
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TechBBQ 2025: AI Is Reshaping the Modern Product
Team
26-Aug-2025: Conversations with leading SaaS teams reinforced what I am seeing: AI may be shrinking the two-pizza team to 3–4 people - requiring broader skills, fewer handoffs and making every seat count.
Building AI-Native Products
Hands-on lessons from building AI-native products, tooling and engineering practices.
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How We Created Learning Loops Without User Data
24-Mar-2026: Early-stage AI products rarely have enough user data. The advantage comes from finding representative real-world scenarios and turning them into learning loops before the data arrives.
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Designing AI Systems in Layers
17-Mar-2026: Inconsistent LLM outputs are often an architecture problem, not a model problem. Designing instruction and context in layers makes AI features easier to debug, maintain and scale.
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Measuring the "Feel" of AI
25-Nov-2025: How do you build an AI that doesn’t just answer correctly, but feels right? A practical look at the two kinds of evaluation I used when testing Work2gether AI coaching models.
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Why AI Products Benefits From Model-Agnostic
Architecture
18-Nov-2025: Foundational models are evolving too fast to hardwire your product to one of them. A model-agnostic architecture makes it easier to experiment, switch models and keep pace as the landscape changes.
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Testing LLMs Means Thinking Differently
12-Aug-2025: LLMs aren’t deterministic software, so testing them needs a different playbook. Think acceptable ranges, golden sets, guardrails and iteration - not exact outputs.
Field Notes
Practical observations from building AI-native products, experimenting with new tools and workflows, and exploring how AI changes the way we create products.
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Formal Handoffs Can Scale a Team's Agentic Process.
Discipline Is a Separate Problem
08-Sep-2026: An experiment in formalizing discovery, design and build handoffs for multi-specialist teams - and an honest look at where the process held up, and where it didn't.
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Agentic AI Doesn't Fix an Immature Process or
Discipline Gaps. It Multiplies It
11-Aug-2026: Before adding agentic AI, most organizations should be asking a different question first - and it's not about the tooling.
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AI has collapsed the cost of learning - I built an
Obsidian plugin over the weekend
19-May-2026: Building an Obsidian AI plugin in a weekend made me realize just how dramatically AI has reduced the distance between curiosity, learning and a working result.
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Turning Conversations into Process Diagrams with
AI
16-Jun-2026: Using AI to turn process discussions into Mermaid diagrams makes them easier to review, refine and share - with a short video showing how.
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Practical Learning: Design the System Before Adding
AI Agents
28-Apr-2026: What happened when we added AI to an existing QA workflow? It reinforced why the best place to start may be deciding what should not be AI at all.
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AI Removes the Excuse for Poor Documentation
11-Nov-2025: Think it’s too late to start documenting? I experimented with using AI to reconstruct product documentation directly from source code - with surprisingly useful results.
Product Leadership & Operating Models
Timeless product leadership and SaaS operating model lessons.
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The Real Test for Forward Deployed Engineering
20-Aug-2026: Part two of the FDE thread: the simple test I would apply before scaling it, and why the test only passes if you build for it.
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Forward Deployed Engineers: Same Idea, or Something
Different?
18-Aug-2026: A closer look at where FDE actually diverges from the empowered engineering teams I've spent my career building - and what that reveals about ownership.
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Should Product be involved in go-to-market? - Only if
you want to succeed
02-Jun-2026: The strongest Product, Engineering and GTM organizations don’t just build faster - they operate as one learning system, turning insights into better decisions together.
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The Three Horizons of Product Investment
04-Nov-2025: Balancing today’s core, tomorrow’s growth and the longer-term future is one of product leadership’s hardest trade-offs. I find that The Three Horizons model helps make those choices visible.
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Clarity of Direction Doesn't Make Execution Simple
07-Apr-2026: Good product principles are often simple. Executing them in a real SaaS business means navigating customers, revenue, incentives and timing - and where the hard work really begins.
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Scaling SaaS Is Like Flying an Airplane
28-Oct-2025: Scaling SaaS can feel a lot like flying an airplane: takeoff, turbulence, then hopefully cruising altitude. The trick is knowing which stage you are in - before someone starts serving snacks during takeoff.
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The Fastest Way to Waste SaaS Runway
30-Sep-2025: When Product, Engineering and GTM pull in different directions, chaos compounds. Shared strategy, ruthless prioritization and a clear operating rhythm can make growth compound instead.
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De-risking B2B SaaS Growth
02-Sep-2025: Scaling B2B SaaS is not just about adding people and moving faster. It is about building the right disciplines to turn fragile growth - bigger teams, roadmaps and burn - into resilient growth.
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From Founder-Led to Founder-Inspired
19-Aug-2025: As SaaS companies scale, the founder can shift from greatest asset to biggest bottleneck. The challenge is moving from founder-led to founder-inspired - without losing the vision that got you there.
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Documentation Is an Accelerator, Not Overhead
23-Sep-2025: Agile was never an excuse for poor documentation. Done right, documentation helps decisions and knowledge scale - and becomes even more valuable when AI can act on it.
High-Performance Organizations
Broader reflections on leadership, execution and high-performing teams.
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Do AI Coding Agents Reward Collaborative Teams?
15-Sep-2026: A reflection inspired by Microsoft's Scott Hanselman's analogy between AI coding agents and open source collaboration - and what it might mean for collaborative product & engineering teams.
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Build Organizations Like Olympic Rings
14-Oct-2025: What if resilient organizations should look more like Olympic rings than dominoes? A simple metaphor for why overlapping skills and responsibilities may matter more than ever in the age of AI.
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Execution Debt: The Hidden Scaling Constraint
21-Apr-2026: Execution Debt builds quietly as friction accumulates in decisions, ownership and alignment. What looks like a normal scaling problem may actually be that debt starting to accrue interest.
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The Modern Manager Is Becoming an Integrator
17-Feb-2026: “Who do I refer to now?” is a common question after a re-org. But the real confusion may not be reporting lines - it is where ownership and decision authority actually live.
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Focus Is the Missing Half of Empowerment
27-Jan-2026: Empowered teams don’t just need autonomy and accountability - they need focus. Without clear priorities and trade-offs, ownership can easily turn into diffusion.
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Empowered teams need both autonomy and
accountability
17-Jun-2025: Giving teams more freedom is only half the equation. Without clear accountability, autonomy can quickly turn into friction, confusion and eroding trust.
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Your Team Doesn't Need a Hero
19-Jun-2025: High-performing teams aren’t built by hiring more heroes. They are built by creating the conditions where people can collaborate, perform and succeed together.
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Great collaboration doesn’t care where you sit
27-May-2025: Great collaboration doesn’t happen automatically when teams become distributed. Trust, engagement and performance across locations need to be designed for - and led differently.