🧠 𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝗺𝗮𝗿𝘁 𝗳𝗮𝘀𝘁 𝗼𝗻 𝗮 𝗻𝗲𝘄 𝘁𝗼𝗽𝗶𝗰 𝗵𝗮𝘀 𝗻𝗲𝘃𝗲𝗿 𝗯𝗲𝗲𝗻 𝗲𝗮𝘀𝗶𝗲𝗿.

When you need to get up to speed quickly and it really matters, a standard ChatGPT search won't cut it. Sometimes the complexity of the subject matter, industry and factors at play demands something more robust.

Here’s the workflow I use for quickly getting up to speed fast without sacrificing depth.

𝗠𝘆 𝟱-𝗦𝘁𝗲𝗽 𝗥𝗮𝗽𝗶𝗱 𝗗𝗲𝗲𝗽 𝗗𝗶𝘃𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄:

1️⃣ 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗮 𝗴𝗿𝗲𝗮𝘁 𝗽𝗿𝗼𝗺𝗽𝘁 I use a custom Claude Project trained on the prompting documentation from OpenAI, Google, and Anthropic to create well-crafted research prompts. 𝘐𝘧 𝘺𝘰𝘶 𝘱𝘳𝘦𝘧𝘦𝘳 𝘖𝘱𝘦𝘯𝘈𝘐, 𝘺𝘰𝘶 𝘤𝘢𝘯 𝘢𝘭𝘴𝘰 𝘶𝘴𝘦 𝘢 𝘊𝘶𝘴𝘵𝘰𝘮 𝘎𝘗𝘛 𝘧𝘰𝘳 𝘵𝘩𝘪𝘴.

2️⃣ 𝗗𝗲𝗽𝗹𝗼𝘆 𝗗𝗲𝗲𝗽 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗰𝗿𝗼𝘀𝘀 𝟱 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀 𝘀𝗶𝗺𝘂𝗹𝘁𝗮𝗻𝗲𝗼𝘂𝘀𝗹𝘆 I then use that prompt with five Deep Research tools — Perplexity, ChatGPT, Claude, Gemini, and Grok. Each one approaches research and output differently, giving a broader perspective. 𝘐𝘧 𝘺𝘰𝘶 𝘸𝘢𝘯𝘵 𝘵𝘰 𝘫𝘶𝘴𝘵 𝘱𝘪𝘤𝘬 𝘰𝘯𝘦, 𝘊𝘩𝘢𝘵𝘎𝘗𝘛'𝘴 𝘋𝘦𝘦𝘱 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘪𝘴 𝘴𝘭𝘪𝘨𝘩𝘵𝘭𝘺 𝘣𝘦𝘵𝘵𝘦𝘳 𝘳𝘪𝘨𝘩𝘵 𝘯𝘰𝘸 𝘣𝘶𝘵 𝘵𝘩𝘦𝘺'𝘳𝘦 𝘢𝘭𝘭 𝘦𝘹𝘤𝘦𝘭𝘭𝘦𝘯𝘵.

3️⃣ 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗹𝘆 𝗲𝘅𝘁𝗿𝗮𝗰𝘁 𝗮𝗻𝗱 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲 I scan the reports and copy the most compelling bits into my personal note-taking app so I can reference them later.

4️⃣ 𝗖𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲 𝗶𝗻 𝗚𝗼𝗼𝗴𝗹𝗲 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 I export those research reports as PDFs and import them into NotebookLM along with any relevant URLs. This is my research hub. NotebookLM allows me to "chat" with the documents, returning footnoted and referenced answers. It can also generate a well-organized summary of all the research reports.

But here's where it gets interesting...

5️⃣ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗮 𝗿𝗲𝗮𝗹𝗶𝘀𝘁𝗶𝗰 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 🎧 I use NotebookLM to generate a realistic audio podcast from the material: two hosts discussing the research, sounding remarkably like a professional show. They debate points and explore nuances just like real hosts. It's amazing.

💡 The podcast element is what really blows me away, even months after release. It’s the perfect complement to reading the material. Plus, I can keep learning while driving around town, significantly expanding my window to absorb new information.