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Big Ideas
AI-native product teams are redesigning the artifact around shared context, not document volume. Together AI’s CPO says long AI-written documents now consume coworkers’ context rather than signal work. His team replaced 20-page PRFAQs with two pages plus a prototype, built a hierarchical shared-context repository, and keeps the PM accountable for the quality of anything AI produces. Their supporting tools synthesize support tickets and Gong calls daily so leaders can skim broadly and go deep selectively. Apply: make the prototype the primary alignment object, keep the decision brief short, and make context discoverable in layers; use AI to question and synthesize, not to own the decision.
More people can build, so product selection and coherence become the scarcer work. USV made Scott Belsky its first Product Advisory Partner to help portfolio companies with product, positioning, and experiences; the announcement argues that AI accelerates building while uncertainty about moats and consumer preferences makes resilient products harder. Hiten Shah’s parallel framing is blunt: every idea can now become a demo, so the PM must decide which ideas deserve to enter the product and make the whole experience coherent. A polished demo is therefore a weaker filter; the bar moves toward evidence, a clear product story, and disciplined inclusion.
Tactical Playbook
Map the operating system before accepting the feature request. When a business asks for a new website, first map Customer → Lead → Sales → Operations → Delivery → Reporting; classify each step as automate, integrate, custom-build, or leave alone. Prioritize the points where the business loses time, money, or information—not the visible software request.
Triangulate competitive intelligence, and separate discovery from validation. Competitor pages describe the narrative a company wants prospects to believe; reviews and communities can reveal customer language and failure modes, but may be biased and should not establish prevalence on their own. For a lean team, maintain a source registry spanning release notes, pricing, reviews, job posts, and sales-call mentions; normalize changes into a weekly digest tagged by segment and strategic impact, with confidence labels and source citations. Also watch quiet changes—removed features, softened claims, or new pricing footnotes—as possible signals.
Give AI a risk budget rather than a binary trust decision. One GTM practitioner is comfortable letting AI inspect performance data, flag falling activation, propose onboarding campaigns, and draft emails, but warns that reviewing every customer-facing change can become an approval queue. Define tiers: AI-only analysis and drafts; bounded actions under pre-approved rules; and human approval for new claims, audiences, or high-consequence sends.
Case Studies & Lessons
A deliberately strange B2B experiment converted attention into pipeline. A cloud-security startup built a fake toy store for CISOs, selling joke products such as a “CISO panic button.” The article reports that it cost almost nothing, drew 46,000 visitors in 24 hours, and produced hundreds of qualified leads. The lesson is not “be quirky”; it is to design a low-cost artifact around a recognizable customer identity, then measure qualified downstream behavior rather than reach alone.
Career Corner
B2B-to-B2C interview prep needs an evidence chain. One PM’s B2B habits—workflows, business rules, feasibility, and operational efficiency—were judged weaker on intuitive interface interactions. The practical adjustment is to start with the consumer problem and persona, then show key-flow events and KPIs, the hypothesis behind a change, and the experiment suited to the question—A/B, fake-door, Wizard-of-Oz, or another method.
Replace indiscriminate job-application volume with targeted outreach. A single current anecdote—not a market statistic—describes 6,000 applications over 12 months without a PM role. A career coach’s counterstrategy is to choose 20–30 companies where the candidate’s background is unusually relevant, contact employees with a tailored reason, and prioritize warm introductions over generic posts.
Tools & Resources
A structured growth-ideation bank. Lenny’s current collection contains 64 creative ideas organized by outcome—buzz, launches, word-of-mouth, leads, competitive moves, willingness to pay, and retention—and is explicitly designed to be fed into an agent for product-specific brainstorming. Use one target outcome to constrain the brainstorm, then test the cheapest credible idea.