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In this tutorial, Shaun Whynacht demonstrates how to use Google Gemini to create a custom "gem"—Gemini's equivalent of a custom GPT—that can generate authentic, first‑person LinkedIn content in his own voice for his agency, Blue Cow Marketing. He starts by launching a new Gemini chat and runs a deep‑research query that pulls publicly available information about himself and his business from web search, Gmail, and Drive. The results are exported as a PDF document, which serves as foundational knowledge for the gem. Shaun then creates a new gem, names it for the intended platform (e.g., "BCM26 LinkedIn"), and uploads the research PDF along with any other relevant files such as video or podcast transcripts. He crafts detailed instruction prompts that enforce style guidelines (first‑person, story‑based, no emojis or hashtags, natural language, LinkedIn best practices) and disables hallucination by requiring direct references to the supplied transcripts. He explains how to configure the gem’s default tool, save, pin, share, and edit it later. Finally, Shaun shows the gem generating eight story‑based LinkedIn posts from a podcast transcript, illustrating how the gem blends the deep‑research knowledge with the new transcript to produce personalized content. Throughout, he offers practical tips—reviewing AI‑generated research, using multiple AI platforms for optimal results, and continuously updating the gem’s knowledge base—to ensure the output remains authentic and useful.

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