Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, and today we're diving into the most important developments shaping the future of AI product management.
First up, Perplexity has launched video generation with audio for Pro and Max subscribers. After updating their mobile apps, Pro users can create audio-visual clips, and Max customers enjoy higher rate limits for faster experimentation. In related toolkit news, AI SDK 5 now supports Google’s full Gemini 2.5 model family, complete with a configurable “thinking config” and native tools like Google Search to help developers build smarter applications.
Turning to enterprise AI tools, Amplitude rolled out an internal assistant named Moda. Built in just a few weeks using engineers’ spare time, Moda indexes over a dozen systems—Confluence, Jira, Salesforce, Zendesk, Slack, Google Drive, ProductBoard, Zoom transcripts, Outreach, Gmail, Asana, Dropbox, GitHub, and HubSpot—via Glean APIs. It’s delivered as both a Slack-native bot and a proprietary web interface, orchestrated by Amplitude’s Langley framework. The team sparked viral adoption by making queries public in Slack channels and managing prompt updates through GitHub-stored YAML.
On the training front, product manager Aakash Gupta has released AI 401: AI Building, a course teaching how to use ChatGPT to prototype and build AI-powered products.
Switching to strategy, a founder on a ComposioHQ×AI Plus panel revealed how obsessive data tracking and breakneck execution drove $35 million in ARR within just 45 days. Echoing that pace, OpenAI’s Head of ChatGPT recommends shipping quickly to uncover real AI use cases before polishing features. And in a practical playbook, product coach Teresa Torres advises linking discovery directly to decision-making to keep engineers invested in user-centered innovation.
In industry-wide shifts, Sam Altman noted an unprecedented emotional attachment to AI models like GPT-5, signaling a new level of user engagement. Meanwhile, Hugging Face’s CEO emphasized open source’s critical role in global AI competition, applauding both OpenAI and Meta for their contributions to the commons.
Finally, Greg Isenberg and Flo Crivello demonstrated Lindy AI’s Agent Builder and Computer Use features in a live demo. These tools let non-engineers describe entire workflows in plain English and automate any desktop action. In under three minutes, they built a LinkedIn outreach agent that detects profile URLs, logs in via Computer Use, and sends personalized DMs. They also showed how a swarm of twenty agents can parallelize tasks—finding, deduplicating, and emailing U.S.-based software engineers in minutes.
That’s a wrap on today’s GenAI PM Daily. Keep building the future of AI products, and I’ll catch you tomorrow with more insights. Until then, stay curious!