The future of productivity is not merely about generating text; it's about intelligent agents seamlessly integrating into daily workflows, transforming how professionals manage information and relationships. Olivia Moore, a Partner on a16z's AI investment team, recently unveiled her personal AI productivity stack, offering a rare glimpse into the tools that empower a venture capitalist navigating the rapidly evolving tech landscape. Moore's insights, shared directly from a16z's platform, highlight a critical shift from general-purpose AI to specialized, agentic solutions that actively triage, analyze, and connect across diverse digital ecosystems.
A cornerstone of Moore's stack is Comet, Perplexity's new AI browser, which has become her default not just for browsing but for managing her digital life. She utilizes it to "triage my email and my calendar," a capability that extends to scheduling meetings and sending emails directly from the browser, thanks to its deep integration with GSuite. Furthermore, Comet's ability to create and run custom shortcuts—essentially saved prompts—automates complex tasks, such as drafting personalized outreach messages or exporting LinkedIn profiles to spreadsheets for further processing. This exemplifies AI moving beyond simple queries to orchestrate multi-application workflows.
For data analysis, Moore champions Julius, an AI data analyst tool, as a superior alternative to generalist models like ChatGPT. She notes that while ChatGPT can process Excel files, "it's not always reliable. It can get confused or hallucinate, and it's not great at iterating on work over time." Julius, conversely, allows users to upload files and engage in natural language conversations to generate full analyses, including downloadable graphs and outputs. Its notebook feature supports repeatable processes, enabling daily analysis of recurring data sets with customized visual templates.
Happenstance tackles the limitations of traditional professional networking platforms like LinkedIn. While LinkedIn serves as a record, its search capabilities are often constrained. Happenstance integrates LinkedIn, Gmail, and Twitter connections, allowing users to query their network with natural language prompts, such as finding "engineers in SF with at least five years of experience who have worked in an early stage startup environment." The platform converts these into effective search terms, scores and ranks results, and even facilitates direct introduction requests, extending the reach of one's network dramatically.
Another game-changer for Moore is Granola, an AI meeting assistant that operates invisibly, without a visible bot in the meeting. Available as both a desktop and mobile application, it can be set to auto-record Zoom or Google Meet sessions. Granola combines manual notes with AI-generated transcripts, offering real-time suggestions for questions and providing post-meeting summaries in preferred formats. Its integration with Zapier enables advanced automations, such as using ChatGPT to summarize meeting notes and then appending them to a shared Google Doc. This dramatically reduces post-meeting administrative overhead.
Moore also leverages Gamma, an AI-powered design partner for presentations, documents, and websites. She describes its core function as helping "go from prompt to full creation... solve the blank page problem." Gamma acts as a creative co-pilot, not only generating initial content but also allowing users to refine it with natural language commands, such as "make this more concise" or "add another column." This tool emphasizes flexibility in output, moving beyond static slides to interactive elements.
These tools underscore a clear trend: AI's true power in productivity is unlocked through specialization, agentic capabilities that integrate across platforms, and the automation of complex, repetitive tasks. By embracing these AI-native solutions, professionals can offload significant cognitive and manual burdens, redirecting their focus toward higher-value strategic endeavors.
