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.
On the product front, OpenAI launched ChatGPT Go in India, offering a more affordable plan and promising international expansion based on user feedback.
In related news, Google reported over 100 million videos created using Veo3 in the Flow tool, reminding AI Ultra subscribers of their 2× credit benefit.
In related developments, LlamaIndex demonstrated how to build data-aware AI applications on Heroku AI, enabling secure queries over private documents with managed infrastructure.
On the tools side, Harrison Chase unveiled a Deep Research layer for DeepAgents, complete with built-in planning, subagents, and file system access—code and demo available.
Meanwhile, Philipp Schmid open-sourced a Next.js template for a text-to-video studio powered by Veo3 and Imagen 4, giving teams a ready-made production environment.
Separately, LlamaIndex published detailed Model Context Protocol documentation to standardize connections between large language models and external databases, tools, and services.
Turning to product strategy, Lenny Rachitsky reminded us that AI products are inherently non-deterministic—requiring a balance between system agency and product control—and advised versioning should reflect shifts in agency versus control rather than traditional feature increments.
Shreyas Doshi observed a split among product managers, with some avoiding AI and others over-relying on it for proposals, highlighting AI’s current limits in strategic judgment.
In another perspective, Rachitsky suggested that ChatGPT’s memory and context capabilities could evolve it into the next major distribution platform, reshaping platform competition.
On the privacy front, Rowan Cheung noted that Claude does not train on user data and urged better marketing of this important data protection feature.
Switching to monetization strategies, Greg Isenberg shared six turnkey voice AI agent ideas, including an AI property manager line that transcribes tenant calls, flags issues, creates work tickets, dispatches vendors, and sends SMS updates for $500 to $1,500 per month.
He outlined a pipeline combining Deepgram or Whisper for speech-to-text, GPT-4 or Gemini for intent, 11 Labs or Coqui for speech, and CRM integrations, adding that founders can launch an MVP via Synthflow in 30 minutes or build a custom stack at about $0.50 per call.
On the analytics front, Lex Fridman walked through R’s ggplot2 to chart a parks and recreation budget—grouping data, crafting colored bar and line plots, embedding them in a scrollable flexdashboard, and publishing via rsconnect.
Finally, All About AI showcased Claude Code’s new status line for directory and context token tracking, plus Output Styles for instant switches between custom HTML and Markdown, automating research workflows.
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!