# Concrete Product Bets, Agentic PM Workflows, and the Leadership Loop *By PM Daily Digest • May 17, 2026* This brief highlights a sharper way to frame product strategy, a practical path from AI assistant to agent-orchestrated PM work, and a leadership model for scaling product teams. It also includes a vertical SaaS case study and a few tools and patterns worth testing. ## Big Ideas ### 1) Strategy gets better when you kill `wide vs. deep` Abstract binaries such as `wide vs. deep`, `platform vs. point solution`, or `CAC vs. LTV` can create the feeling of strategic discussion while avoiding the harder question: which specific feature or capability will make a real customer buy and stay [^1]. If you truly understand customer needs and differentiation, the product’s shape follows from those bets; if you do not, no framework will rescue you [^1]. > “The real question is: *what is going to work?*” [^1] - **Why it matters:** Strategy discussions become more testable and less theatrical [^1]. - **How to apply:** Ask teams to name the customer, the pain, the feature, and the reason that customer will buy or stay. ### 2) The PM role is moving toward agent orchestration Most PMs still use AI as a writing assistant, but the emerging path is broader: assistant → mini-workflows → end-to-end workflow automation, with as much as 70% of some workflows eventually running without human intervention [^2]. The goal is not to remove PM judgment; it is to automate routine work so PMs can spend more time on product taste, intuition, and shaping harder problems [^2]. - **Why it matters:** The job shifts from doing every task to deciding what should be automated and what should stay human-guided [^2]. - **How to apply:** Start with repeatable, low-risk workflows before touching judgment-heavy work. ### 3) Strong product orgs need three motions in balance A useful leadership frame is the triad of **exception-based management** (systems that flag deviations), **presence-based management** (`go see` the work), and **delegation-based management** (push authority to the people closest to the work) [^3]. When balanced, they reinforce each other; common failure modes are mistaking dashboards for understanding, confusing involvement with value, or declaring autonomy without building context [^3]. - **Why it matters:** It gives PM leaders a clearer way to diagnose scaling problems than generic empowerment language. - **How to apply:** Build exception dashboards, keep direct exposure to users and teams, and delegate decisions only after shared context is in place. ## Tactical Playbook ### 1) A four-step discovery filter before you build 1. Talk to real customers before building many features [^4]. 2. Try to pre-sell, not just collect positive feedback [^4]. 3. Treat 3-5 early paying customers as a stronger signal than abstract enthusiasm [^4]. 4. Prioritize the feature most likely to make those customers buy and stay [^1]. **Why it matters:** This filters out ideas that only `sound useful` and sharpens prioritization around proven pain [^4]. ### 2) Start a `product brain` without over-automating Feed AI ongoing context from customer and team conversations, strategy, product/marketing, and competitors [^2]. Use it first for writing and synthesis, then expand into mini-workflows like user stories or feedback synthesis [^2]. Put the agent in a channel you already use, such as Slack, so it asks permission before acting and learns from corrections [^2]. One practical use: during product discussions, use it to challenge weak reasoning if it has enough context on the product [^5]. ## Case Studies & Lessons ### 1) Klientys: a vertical product built from one concrete workflow pain Klientys started with a simple observation: an independent nurse in Brussels was spending **1-2 hours every evening** handling calls, SMS confirmations, and appointment admin with paper notes, a physical agenda, and an outdated Facebook page [^6]. The product response was an all-in-one tool: a guided **9-step** website wizard that sets up a professional site in **15 minutes**, online booking with reminders, a mini-CRM, an AI agent for common questions, and local analytics [^6]. The reported result: fewer evening calls, a self-filling agenda, and better local search visibility [^6]. **Lesson:** Clear customer pain plus simpler packaging can matter more than feature breadth, especially when incumbent tools feel too expensive or complex [^6]. ### 2) Three leadership patterns from Mulally, Chesky, and Huang Alan Mulally used hands-on presence at Ford to make exception systems work and then restore delegation [^3]. Brian Chesky, by contrast, used presence after Airbnb’s crisis to replace exception systems and delegation, making himself the coordination layer [^3]. Jensen Huang built flatter information flow and exception systems so Nvidia could move quickly without his constant involvement in every decision [^3]. **Lesson:** High presence is powerful in a crisis, but it scales better when it builds systems rather than permanent dependency [^3]. ## Career Corner PMs who adapt well to AI may look less like document owners and more like workflow architects: they decide what gets automated, where human taste still matters, and where a bit of friction is useful [^2]. At the same time, `glue` work still matters. AI may reproduce artifacts, but not the judgment, legitimacy, and social bridging that improve decisions across teams [^3]. **Practical takeaway:** Build two muscles now—automation design for routine work, and context-building for high-stakes collaboration. ## Tools & Resources - [Rezonant](https://www.rezonant.app/) is cited as useful for AI-powered mini-workflows such as breaking work into user stories and turning feedback into research or strategy docs [^2]. - **Slack** is a practical pattern for the human-agent interface: permissioning, feedback, and learning loops in one place [^2]. --- ### Sources [^1]: [Get to the Core of the Thing](https://shreyasdoshi.substack.com/p/get-to-the-core-of-the-thing) [^2]: [Ex-Stripe CTO Is Running a Free PM Workshop: Build an AI Agent System for Your Team](https://productify.substack.com/p/ex-stripe-cto-is-running-a-free-pm) [^3]: [TBM 422: Exception, Presence, Delegation](https://cutlefish.substack.com/p/tbm-422-exception-presence-delegation) [^4]: [r/ProductMarketing comment by u/Acrobatic-Kitchen-37](https://www.reddit.com/r/ProductMarketing/comments/1tfe1yw/comment/om9a9wt/) [^5]: [𝕏 post by @shreyas](https://x.com/shreyas/status/2055698546981326848) [^6]: [r/ProductMgmt post by u/Superb-Hair1440](https://www.reddit.com/r/ProductMgmt/comments/1tfayc8/)