Insights
Field notes from the front line of AI-first product coaching — observations from the field, transformations in progress, and the frameworks I install in scale-up teams.
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Are you sprinkling “AI dust” on your product?
monday.com coined the term for their own miss: AI features sprinkled on unchanged workflows. What AI dust is, why most companies are buying it, and the question to ask before your next token invoice.
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You are not prioritizing. You are planning.
When the debate is all effort and capacity, you are planning, not prioritizing. A 2-step approach: qualify impact in the problem space, plan effort in the solution space.
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90% of your AI rules are forgotten after 5 memory compressions
A University of Passau study measured what survives AI context compaction: 53% of rules after one round, 10% after five. Why rules die first, how to save them today — and why AI memory is a company-level asset.
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Two tips for Product teams that deliver impact, proactively
Let the Product team speak with clients. Lead with context, not solutions. Two simple changes that give your teams a mandate to own outcomes — and set you up for the AI era.
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AI agents are not the majority of internet traffic. Well, not yet.
Bots did cross 60% of web page traffic — but identified AI crawlers and agents are ~4-5% of it. The real numbers behind the viral claim, from Cloudflare and Imperva.
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The SDLC is now codified. Your PMLC is your competitive advantage.
Anthropic just published its codified version of the SDLC: six stages, a new artifact chain, human gates. What it covers of the Product Management Life Cycle — and what it leaves to you.
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The last 3 years of AI progress didn't come from the models
A review by 24 researchers shows every leap in working AI systems came from what was moved out of the model: memory, skills, protocols. What that means for your company.
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Your AI won't differentiate you from your competitors
Your competitors run the exact same model as you. What will make the difference: the harness you build around it — your context, your skills, your tools, your guardrails, your gates. Its 6 components, and the meta-harness that continuously improves them.
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Only 6% of organizations get real ROI from AI
And these are the ones who are redesigning their workflows around it. This simple 6-step workflow makes your AI the catalyst for greater value creation, not just faster delivery.
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Value gets lost along the way
AI accelerates your teams in silos, but the value created at each step doesn't survive the handoffs between them. Encode those handoffs and turn your AI into the guardian of your value path.
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Transformation isn't failure — it's the system catching up inside and out
If the old way doesn't work anymore, does that mean we did something wrong? Transformation isn't a sign of failure — it's an unavoidable shift in dynamics.
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The 10x AI is selling you isn't the one your growth needs
AI doesn't invent an organization's strengths or weaknesses — it reveals and amplifies them. The first weaknesses it exposes: fuzzy ownership and a lack of coordination between departments.
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AI executes, the human copy-pastes
AI eats execution. The human copy-pastes. What's left for the job description to describe? Notes on resetting expectations for 2026.
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5 engagements, 4 transformations: what I took away
24 months of back-to-back transformations across 4 French scale-ups. Four lessons that show up in every engagement — and one principle that ties them together.
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