The future of PMs 🔮, designing for adoption 🐶🐱, sell where you're heading next ☝️

PMs are not “dying” but changing in scope depending on the organization. This article shares a framework for PMs’ past, present, and future ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 

Sign Up |Advertise|View Online TLDR Together With TLDR Product Management 2026-05-29 Cursor, Box, and United Airlines Talk AI-Powered Product Releases on One Virtual Stage (Sponsor) Product teams are shipping AI-powered features faster than ever. But how do you experiment, release, and optimize AI experiences without increasing risk? At Flagship: The Feature Management and Experimentation Summit hosted by Harness, leaders from Cursor, Box, United Airlines, JPMC, and more will share how modern product and engineering teams are adapting feature delivery for the AI era, including how to: ✅Release AI-powered features with confidence ✅Experiment safely before changes impact customers ✅Scale rollout strategies without sacrificing control Featuring sessions on feature flags, experimentation, and AI-driven product delivery. Join live on June 17 (10:00 AM PT / CET) Register now > 📱 News & Trends Past, present, and future of PMs (18 minute read) PMs are not “dying” but changing in scope depending on the organization. This article shares a framework for PMs' past, present, and future across several areas, with special emphasis on how AI and AGI pressure will reshape responsibilities. 4 new ways to go from idea to product with AI tools (4 minute read) AI tools are changing product development workflows. New approaches move teams from early ideas to building and production, showing what changes across the product lifecycle. 🚀 Opinions & Tutorials Why AI Products Lose Users After the First Try - How to Design for Adoption (7 minute read) AI products often lose users not because the model is weak, but because adoption design decisions are missing or wrong. There are four common failure modes: activation cliffs, a trust gap, broken correction loops, and an agent autonomy ceiling. I think Anthropic and OpenAI have found product-market fit (9 minute read) Anthropic and OpenAI have achieved PMF for enterprise coding/general-purpose agent tools. The shift is driven by real enterprise demand for products like Claude Code/Cowork and Codex, despite thin “AI cost failure” anecdotes. 🧑‍💻 Resources & Tools OpenProse: Give your agents SLAs that hold over time (Sponsor) Tired of babysitting agents? With OpenProse, you define your outcome ("Inbox at zero by 5pm") - the runtime executes, watches for drift, and pings you when it's done. Write your goal once in plain English, let the system keeps it true. To start, simply open terminal and type npx skills add openprose/prose To reach your big goal, you need to sell where you're heading next (4 minute read) To achieve a big long-term goal, teams must “sell Point C”- a concrete, vivid next destination they will reach in the next 12–24 months - rather than settling for “continue existing.” This should be a strategic, fundable milestone aligned with mission, vision, strategy, and anchored in the needs of the community the team serves. How user segmentation, rather than personas, helps you get design buy-in (7 minute read) User segmentation gets more design buy-in than relying on personas alone. Personas often get dismissed, and there are four segmentation elements to reinforce personas: total audience size, time period/seasonality, device/tech context, and new vs. returning customer. 🎁 Miscellaneous Slack AI: The Path to Multi-Cloud (17 minute read) Slack evolved its AI infrastructure from self-managed AWS SageMaker to managed Amazon Bedrock to solve scaling and latency issues. By moving to Bedrock, Slack reduced engineering overhead and improved efficiency through Provisioned Throughput and on-demand capacity. AI apps aren't dead, but thin wrappers are (11 minute read) AI labs will own many horizontal AI tools, but startups can still win in complex vertical workflows. The strongest AI app companies will own the system of work, including customer data, governance, integrations, and measurable business outcomes. ⚡ Quick Links How Much Can You Trust an LLM to Tell You What Your Customers Want? (3 minute read) Product leaders shouldn't outsource customer thinking to LLMs. How calibration sessions mess with your performance review (3 minute read) At senior levels, promotions depend on more than your manager's support. Love TLDR? Tell your friends and get rewards! Share your referral link below with friends to get free TLDR swag! https://refer.tldr.tech/b3142ada/9 Track your referrals here. Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of product management professionals and decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here, create your own role or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! TLDR is one of Inc.'s Best Bootstrapped businesses of 2025. If you have any comments or feedback, just respond to this email! Thanks for reading, Ellen Le Manage your subscriptions to our other newsletters on tech, startups, and programming. Or if TLDR Product Management isn't for you, please unsubscribe.