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.

A custom AI tool offers more value than a generic one like ChatGPT because it can be trained on a brand's unique, paywalled intellectual property. This creates a curated experience that aligns perfectly with your teachings and provides answers that cannot be found for free on the web, solidifying your expertise.

The key for enterprises isn't integrating general AI like ChatGPT but creating "proprietary intelligence." This involves fine-tuning smaller, custom models on their unique internal data and workflows, creating a competitive moat that off-the-shelf solutions cannot replicate.

Instead of relying on one-off prompts, professionals can now rapidly build a collection of interconnected internal AI applications. This "personal software stack" can manage everything from investments and content creation to data analysis, creating a bespoke productivity system.

Instead of asking an AI to repurpose content ad-hoc, instruct it to build a persistent "content repurposing hub." This interactive artifact can take a single input (like a blog post URL) and automatically generate and organize assets for multiple channels (LinkedIn, Twitter, email) in one shareable location, creating a scalable content remixing system.

View AI less as a tool for discrete tasks and more as the foundation for a central marketing hub. This system uses AI to create and maintain branded playbooks for all marketing activities, ensuring consistency and quality regardless of who is executing the work.

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 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.

The primary value of AI app builders isn't just for MVPs, but for creating disposable, single-purpose internal tools. For example, automatically generating personalized client summary decks from intake forms, replacing the need for a full-time employee.