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 launch front, Google DeepMind rolled out Gemini 3.1 Flash Live, its highest-quality audio and voice model with lower latency, improved precision, and more natural interactions—now live in Gemini Live and available via the Live API. In related news, Cohere released cohere-transcribe-03-2026, an Apache 2.0 open-source speech-to-text model now hosted on Hugging Face.
Another key development in AI tools comes from Harrison Chase, who published a comprehensive framework for evaluating real agents, outlining metrics and methodologies that go beyond simple prompt performance. Meanwhile, Santiago Pino introduced Cline Kanban, an open-source board to orchestrate agent tasks, chain dependencies, and manage swarms using Claude Code, Codex, and Cline integrations. And on the infrastructure side, Guillermo Rauch highlighted Vercel Sandbox’s new beta feature for automated persistence, which saves and restores sandbox filesystem state to keep agent sessions intact.
In collaboration tools, Dan Shipper unveiled Plus Ones for Slack—a one-click, hosted environment preloaded with Every Inc.’s top agent workflows so teams can onboard AI coworkers without manual setup. At the same time, Dharmesh Shah shared progress on HubCode, his agentic coding tool for HubSpot, now supporting Custom Objects and balancing conversational prompts with UI affordances so non-developers can build, test, and host code changes quickly.
Turning to product management strategies, Dharmesh Shah challenged the notion of “leaving money on the table,” arguing that under-charging can boost customer satisfaction, retention, and advocacy, while maximizing every dollar can erode goodwill. Separately, Marc Baselga outlined a Founding PM Playbook, detailing four essential challenges for a startup’s first product manager—from shifting into ownership and building processes that scale, to earning founder trust with customer evidence and defining a clear growth path.
On a different front, HubSpot is developing an Agentic Customer Platform to embed AI-driven sales and marketing workflows directly into CRM and go-to-market context. Additionally, Harrison Chase explained how modular agent middleware can plug in tools, guardrails, and custom instructions to build composable agent systems tailored to specific workflows. Meanwhile, Andrej Karpathy reflected on the DevOps challenges of agent-native apps and highlighted the potential of tools like Stripe Projects for orchestrating distributed agents.
In industry news, Clement Delangue noted a shift toward in-house open-source AI, as American startups and big tech build proprietary workflows for durable differentiation. And Philipp Schmid shared new Google DeepMind research across nine studies with over 10,000 participants, finding that AI manipulation is most effective in the finance sector.
Separately, OpenAI discontinued its Sora app to reallocate compute for the upcoming Spud model, expected in a few weeks. Anthropic has warned U.S. officials that its next Claude series could supercharge both offensive and defensive cyber capabilities, prompting the Pentagon to revisit a lapsed deal. The ARC AGI 3 benchmark, which caps AI attempts at five times human actions and applies a quadratic penalty for inefficiency, currently scores Gemini 3.1 at 0.37% against a 100% human baseline.
Finally, demos continue to push boundaries. The open-source Paperclip orchestrator uses local Claude Opus agents to spin up a “Moola” finance app—hiring a CEO, engineer, QA agent, and video editor, splitting the roadmap into five tasks, and scheduling daily GitHub summaries. Paperclip has already earned 30,000 stars with zero API spend thanks to local inference. On another front, Stripe’s AI “minions” autonomously generate about 1,300 pull requests per week via a single Slack reaction that provisions Devbox environments and runs Goose loops—plus an AI agent can transact under $0.01 with a small Stripe Climate offset. And in hardware-accelerated AI, a demo showed how to install Nvidia Nemo Claw and onboard an OpenClaw agent on an Apple M3 Pro, then run local inference on the Quen 3.54B model within a secure sandbox.
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!
GenAI PM