To make company strategy more accessible, Zapier used Google's NotebookLM to create a central AI 'companion.' It ingests all strategy docs, meeting transcripts, and plans, allowing any employee to ask questions and understand how their work connects to the bigger picture.
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Use an AI assistant like Claude Code to create a persistent corporate memory. Instruct it to save valuable artifacts like customer quotes, analyses, and complex SQL queries into a dedicated Git repository. This makes critical, unstructured information easily searchable and reusable for future AI-driven tasks.
By creating a central repository infused with company strategy and market data, AI tools can help junior PMs produce assets with the same contextual depth as a 20-year veteran, democratizing product intuition and standardizing quality across the team.
Overwhelmed by Slack messages and internal documents? Build a Zapier agent connected to your company's knowledge base. Feed it your job description and current projects, and the agent can proactively scan all communications and deliver a weekly summary of only the updates relevant to your specific role.
Individual sellers can use free tools like Google's NotebookLM to build their own specialized AI agents now. By uploading books, articles, and podcasts on topics like prospecting or upselling, they create a personal knowledge base to get instant, tailored answers and stay ahead of the curve.
To create a reliable AI persona, use a two-step process. First, use a constrained tool like Google's NotebookLM, which only uses provided source documents, to distill research into a core prompt. Then, use that fact-based prompt in a general-purpose LLM like ChatGPT to build the final interactive persona.
Tools like Granola.ai offer a key advantage by recording locally without joining calls. This privacy, combined with the ability to search across all meeting transcripts for specific topics, turns meeting notes into a queryable knowledge base for the user, rather than just a simple record.
By connecting to services like G Suite, users can query their personal data (e.g., 'summarize my most important emails') directly within the LLM. This transforms the user interaction model from navigating individual apps to conversing with a centralized AI assistant that has access to siloed information.
To scale the CEO's feedback, his EA created a custom GPT trained on his feedback style, strategy docs, and company norms. Team members use this 'CEO clone' to stress-test their proposals before official review, improving document quality and saving executive time.
The ultimate value of AI will be its ability to act as a long-term corporate memory. By feeding it historical data—ICPs, past experiments, key decisions, and customer feedback—companies can create a queryable "brain" that dramatically accelerates onboarding and institutional knowledge transfer.
A custom AI system named Marilyn, built by the CMO and one engineer, has become the central nervous system for Wiz's GTM team. It answers complex questions on competition, product docs, and strategy, even translating content for global teams. This demonstrates the immense ROI of building custom internal AI tools.
