Reforge

Back in 2015 I attended the first Reforge growth series (called SVBR at the time) where I got to meet Brian Balfour. That experience shaped how I thought about growth and product for years. Fast forward to today and I couldn't be more excited to share that Sandhya Hegde and I are teaching the newest Reforge course: AI Evals 201. Join us on Feb 26th to get a sneak peek into the course where we’ll be covering: ⁉️ What exactly is a trace 🧐 How to do trace analysis with no 3P apps 🛣️ How to convert trace codes into an eval-driven roadmap Most AI PMs still aren't looking at their trace data. That's a problem: traces are the only source of truth for how your AI product actually works. Sign up to learn more: https://luma.com/0hi3gwh2

𝘐𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘪𝘯𝘨 𝘾𝙤𝙣𝙩𝙚𝙭𝙩 𝙀𝙣𝙜𝙞𝙣𝙚: 𝘕𝘰𝘸 𝘺𝘰𝘶 𝘤𝘢𝘯 𝘣𝘶𝘪𝘭𝘥 𝘈𝘐 𝘱𝘳𝘰𝘵𝘰𝘵𝘺𝘱𝘦𝘴 𝘵𝘩𝘢𝘵 𝘮𝘢𝘵𝘤𝘩 𝘺𝘰𝘶𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘧𝘳𝘰𝘮 𝘥𝘢𝘺 𝘰𝘯𝘦. Stop tweaking colors, spacing, and components to make AI prototypes look like yours. Context Engine brings your design system, components, and product context directly into Reforge Build. It comes with three core features: 🎨 𝗗𝗲𝘀𝗶𝗴𝗻 𝗦𝘆𝘀𝘁𝗲𝗺: Paste your URL and Build captures your colors, typography, and layouts automatically ⚒️ 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗖𝗮𝗽𝘁𝘂𝗿𝗲: Capture UI elements from your product with our Chrome extension 🌎 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Upload docs and Build synthesizes them into context that informs every prototype Set it up once, then everyone on your team starts from the same foundation. Every component you capture and every doc you upload makes the tool smarter about your product. Context Engine is available in Reforge Build now. Link to try it free in the comments 👇

𝗢𝘂𝗿 𝗦𝗽𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲 𝗹𝗶𝘃𝗲 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝗳𝗼𝗿 𝗲𝗻𝗿𝗼𝗹𝗹𝗺𝗲𝗻𝘁. If you've been meaning to level up this year, this is the moment to actually do it. We've built courses specifically for the environment product teams are operating in right now. It's easier than ever to build something. It's harder than ever to build the right thing. These courses are designed to close that gap. This cohort includes live instruction from experts at 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗦𝗹𝗮𝗰𝗸, 𝗔𝗺𝗽𝗹𝗶𝘁𝘂𝗱𝗲, 𝗔𝘁𝗹𝗮𝘀𝘀𝗶𝗮𝗻, 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻, 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲. You're not just watching videos. You're learning alongside peers who are facing the exact same problems you are. A few courses worth highlighting: 🎓 𝗔𝗜 𝗘𝘃𝗮𝗹𝘀 teaches you how to define, measure, and improve the quality of AI agents. This is the skill most AI-focused teams are missing right now. 📊 𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 helps you rethink how you compete in one of the most intense strategic environments product leaders have ever seen. 📈 𝗔𝗜 𝗚𝗿𝗼𝘄𝘁𝗵 makes sure you understand what is changing, what isn't, and how to build a sustainable growth system that still wins. 👥 𝗔𝗜 ��𝗿𝗼𝗱𝘂𝗰𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 is all about learning how to lead effectively in the AI era, balancing an evolving strategy, tooling, team structure, and go-to-market motion. There are 13 courses in total across AI, product, growth, and core PM skills. Whether you're trying to break into AI or just sharpen the fundamentals, there's something here for you. Enrollment is open now. Link in the comments.

𝘠𝘰𝘶𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘩𝘢𝘴 𝘣𝘭𝘪𝘯𝘥 𝘴𝘱𝘰𝘵𝘴 𝘺𝘰𝘶'𝘭𝘭 𝘯𝘦𝘷𝘦𝘳 𝘧𝘪𝘯𝘥 𝘧𝘳𝘰𝘮 𝘵𝘩𝘦 𝘪𝘯𝘴𝘪𝘥𝘦. We launched Synthetic Users in Reforge Build to fix this. Create AI personas that match your real users and buyers, point them at any URL or prototype, and get a full usability study back in minutes. Not bug reports. Strategic product feedback. 💡 A 𝗙𝗶𝗿𝘀𝘁 𝗧𝗶𝗺𝗲𝗿 catches confusing onboarding language your team stopped seeing months ago 💡 A 𝗦𝗸𝗲𝗽𝘁𝗶𝗰𝗮𝗹 𝗕𝘂𝘆𝗲𝗿 questions whether your pricing page builds enough trust to convert 💡 A 𝗣𝗼𝘄𝗲𝗿 𝗨𝘀𝗲𝗿 finds friction in core workflows that slows down the people who matter most Every finding links to a session replay so you can see exactly where things broke down. This isn't a replacement for talking to real users. It's an acceleration layer that lets you catch issues early and save human research for the decisions that matter most. Your first test is free. Use code 𝗦𝗬𝗡𝗧𝗛𝗘𝗧𝗜𝗖 for a free month of premium. Link in the comments.

𝙎𝙥𝙚𝙚𝙙 𝙬𝙞𝙩𝙝𝙤𝙪𝙩 𝙚𝙭𝙥𝙡𝙤𝙧𝙖𝙩𝙞𝙤𝙣 𝙟𝙪𝙨𝙩 𝙝𝙚𝙡𝙥𝙨 𝙮𝙤𝙪 𝙗𝙪𝙞𝙡𝙙 𝙩𝙝𝙚 𝙬𝙧𝙤𝙣𝙜 𝙩𝙝𝙞𝙣𝙜 𝙛𝙖𝙨𝙩𝙚𝙧. We launched Reforge Build with a different belief. Better products come from exploring more options before you commit, not from committing faster. Speed helps you cover more surface area, not just move faster for the sake of it. Reforge Build, our AI prototyping tool, now offers two ways to explore: 1️⃣ Turn on 𝗩𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻𝘀 when starting a new prototype to brainstorm different directions. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦: 𝘊𝘰𝘮𝘱𝘢𝘳𝘦 𝘢 𝘒𝘢𝘯𝘣𝘢𝘯 𝘣𝘰𝘢𝘳𝘥 𝘵𝘰 𝘢 𝘴𝘮𝘢𝘳𝘵 𝘪𝘯𝘣𝘰𝘹 𝘧𝘰𝘳 𝘵𝘢𝘴𝘬𝘴. 2️⃣ Use 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗩𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻𝘀 to brainstorm smaller decisions like buttons, cards, modals, and forms. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦: 𝘊𝘰𝘮𝘱𝘢𝘳𝘦 𝘪𝘯𝘭𝘪𝘯𝘦 𝘧𝘪𝘭𝘵𝘦𝘳𝘴 𝘷𝘴 𝘥𝘳𝘰𝘱𝘥𝘰𝘸𝘯 𝘮𝘦𝘯𝘶𝘴 𝘧𝘰𝘳 𝘴𝘰𝘳𝘵𝘪𝘯𝘨 𝘵𝘢𝘴𝘬𝘴. This makes it easy to explore many possible solutions to any product decision. And exploring more options leads to better products. Your first idea is rarely your best one. And tiny decisions compound to become great products. You can see how it works, remix the prototype in the video and try it free. All three links in the comments.

One pattern I'm seeing repeatedly: teams don't struggle because they lack ideas or customer insight. They struggle because it takes too long to turn understanding into something real enough to align on and validate. That's what stood out working with Lewis Gavin and the team at easyfundraising. Their story covers what changed when insight became shared context, and when teams could move from a surfaced signal to a realistic prototype fast enough to learn before decisions hardened. The outcome was learning cycles compressing, earlier alignment, and better decisions under real constraints. Big credit to Lewis for pushing this forward, and to big homie Brian Balfour for consistently grounding our work at Reforge in how teams actually operate. If you're building AI‑native products and thinking about speed beyond shipping, this one's worth your time. 👉 Read full article in comment