Product Strategy
Thinking holistically about what to ship and why. Prioritization, positioning, pricing, and how AI changes what is possible at the product level.
Scale Your Expertise, Not Your Job Titles
Instead of using AI to perform roles you aren't trained for, use it to encode your unique professional expertise into systems, allowing your specific skills to scale across an entire project.
Singles Reject AI for Connection, Accept It for Utility
While 47% of U.S. singles hold negative views toward AI in dating, they remain open to using AI tools for profile optimization and conversation starters, provided the human connection remains authentic.
Consumer Skepticism Toward AI in Brand Messaging
A WordPress VIP survey reveals that 60% of U.S. consumers find 'AI' in brand messaging to be a turnoff, highlighting a growing demand for human-authored content and transparent source attribution.
Ron Goldin: Design Leadership in the Age of AI
Design leader Ron Goldin argues that AI has transformed design leadership from a management-heavy role into a 'player-coach' model, where leaders use rapid prototyping to win arguments and drive product strategy.
Dive ClubApple's Measured AI Strategy: Why Less Spending Might Win
Apple is bypassing the AI arms race by integrating AI features directly into its OS, focusing on utility rather than hype, and maintaining profitability while spending significantly less on capex than its competitors.
Apple's WWDC Strategy: Prioritizing Foundation Over AI Hype
Apple used its WWDC keynote to address long-standing user frustrations and performance issues before unveiling its AI roadmap, signaling a shift toward stabilizing its core software ecosystem.
Defensible SaaS Moats in the Age of AI-Generated Apps
As AI lowers the barrier to building software, traditional moats like features and switching costs are evaporating. Founders must pivot to structural advantages like human collaboration, regulatory compliance, and operational excellence.
The Shift to Enterprise AI, Agentic UI, and Rational AI Spending
OpenAI is positioning Codex as a standalone enterprise tool for non-developers, while companies like Uber and Pinterest are pivoting toward rational AI cost management and internalizing 'core' AI capabilities.
Department of ProductWhy 'Tokenmaxxing' is a Failed Corporate Strategy
Companies are abandoning 'tokenmaxxing'—the practice of incentivizing employees to burn AI tokens—because it fails to correlate with productivity and ignores the necessity of human oversight in software development.
Maximilian SchwarzmullerOvercoming Enterprise Friction in Agentic AI Projects
Enterprise agentic projects fail not due to code, but due to rigid, human-speed governance. Success requires shifting to hypothesis-driven delivery, VC-style portfolio funding, and building a 'living memory' moat.
AI EngineerUsing AI to Transform Sports Data into Fan Engagement
Scuderia Ferrari is partnering with IBM to overhaul its fan app, using AI to convert complex race-day telemetry into personalized, year-round storytelling experiences that have increased engagement by 62%.
Building AI Products: Lessons from Emergent and Whering
Founders from Emergent and Whering discuss how they leverage AI to move from ideation to production-ready applications, emphasizing the importance of rigorous evaluation, user-centric design, and strategic model selection.
Google Cloud TechPick UX Study Participants with Inclusion, Exclusion, Diversity Criteria
Define behavioral inclusion criteria, exclude bias sources like pros, and use a recruitment matrix for diversity to ensure external validity and avoid misrecruits costing time, incentives, and bad decisions.
Claude Handles PM Docs: Roadmap to 100 Tickets in Minutes
Solo GM runs full product by writing only the roadmap; Claude generates PRDs, tickets with context/data/AC/tech notes from GitHub README in minutes, fed by user feedback/usage data.
Win AI Tool Approval: Test Default vs Specialist in One Week
When your company's default AI tool underperforms, don't complain—run a simple one-week test on a recurring job comparing it to a specialist tool. Measure time saved and quality to reframe your ask as evidence, not preference.
AI News & Strategy Daily | Nate B JonesAI x Outcome = Strategy Beats Token Maxxing
Tie AI token spend to specific business outcomes using 'AI x Outcome = Strategy'—without a clear outcome sentence, it's just wasteful token burning subsidized by VCs today.
Marketing Against the GrainHire New Leaders in Late Hypergrowth, Expand in Early
Early hypergrowth solves specific problems serially by expanding proven leaders' scopes. Late hypergrowth demands parallel solutions for skeptics, requiring new specialized leaders instead of scope creep.
Dual AI Playbooks: Tech Depth, Non-Tech Rigor
Ditch uniform AI strategies—technical roles win with system design depth; non-technical roles preserve judgment via cognitive rigor and selective AI use on mechanical tasks only.
Shackleton Framework: Pivot Failing AI Plans in 4 Phases
When AI projects stall, diagnose with one binary question—'Would you rebuild it now?'—then use 4 phases to inventory survivors, uncover the real mission, and rebuild leaner from wreckage, as proven rebuilding GREENHOUSE agent in one evening.
AI Agents Flatten Hierarchies with World Models
AI replaces human info-routing in org charts via company/customer world models and intelligence layers, enabling edge-focused roles like ICs, DRIs, and player-coaches for faster coordination.
The AI Daily BriefClaude Builds Real Business Plans to Drive Products
Start with Claude-generated business plan including financials, 60-day POC, bilingual outreach, and revenue from grants/partnerships—then derive brand/product. Built full entry in 4 hours, placed 2nd solo in hackathon.
Master Restraint: Decide What NOT to Build
AI speeds execution, but restraint—deciding 'should we build this?'—prevents scope creep. Use a pre-planning framework to shape raw ideas into scoped PRDs before spec-driven tools like Cursor or Claude Code.
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