Parse notes
Sponsored
A notetaker bot goes beyond transcription to generate summaries, action items, formatted notes – and (if implemented wisely) big revenue for your application. But try to create one yourself and you'll quickly find that building a bot to take the minutes can take… well, months.
AI is transforming product management by streamlining tedious tasks, but overreliance risks eroding the empathy, trust, and deep understanding needed to build great products. To use AI effectively, teams must automate selectively while maintaining direct user engagement, manual insight synthesis, and authentic stakeholder relationships.
AI is reshaping the definition of quality work, making style replication easy but true artistry rare. Navigating this new era demands deeper creativity, richer narratives, and constant exploration beyond the obvious.
Product discovery should be treated like a product - focused on reducing uncertainty, not rigid frameworks - with its intensity matching the team's level of uncertainty. Success is measured by evidence-based decisions that validate real problems, discard bad ideas early, and prioritize impactful work.
The true threat to product management isn't AI, but the feature factory mindset of mindless shipping. Defeating it requires radical focus, customer connection, and treating product development as a strategic investment.
Sponsored
Concierge is the first connected AI Assistant designed for Product Managers. It can read & write to your apps in real-time; simply connect in 2 clicks (Gmail, Slack, Notion, Linear, Jira, Confluence, Airtable, Asana, HubSpot, Attio, Salesforce, etc) and ask Concierge
Building strong AI evaluation systems enables rapid iteration, debugging, and fine-tuning by focusing on real-world performance, custom metrics, and continuous data review, not just picking models or frameworks.
In the era of "compound AI," most companies bolt AI onto products, creating flashy but shallow features, while companies like Attio succeed by deeply integrating AI to make workflows seamless and intuitive. By democratizing experimentation, focusing on user problems, building invisible infrastructure, and prioritizing human-centered evaluation, teams can create AI-driven products that solve real problems without forcing new user habits.
The advice to "prioritize based on value" is misleading, as "value" is meaningless without a clear strategy, making formulas like RICE ineffective. Instead, product leaders should align around OKRs or prioritize critical problems to maintain momentum even without a full strategy.
Ambient AI, which operates silently in the background, enhances user experiences by reducing friction, anticipating needs, and enabling more intuitive, personalized products. As generative AI excitement fades, ambient AI offers lasting, transformative value.
Tech advances rapidly, but adoption lags behind, shaped by trust and habits - bridging that gap faster creates a lasting competitive edge.
AI adoption in design is accelerating rapidly, shifting expectations from novelty to necessity. Designers who embrace AI for efficiency, creativity, and ethical practice will lead the next wave of innovation.