7. Presentation Prompt 🎨
“Present the logo like a $500,000 branding campaign.
Show it on premium mockups like business cards, packaging, websites, and billboards. Add a short explanation of the design and how it fits the brand.” ✨
🚨 BREAKING: Claude can now create logos that look like they cost $10,000. 🤯
I tested it myself.
The final result? $0. 💸
Here are the 7 prompts I used 👇
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6. Competitive Edge Prompt
“Analyze top brands in [industry] and create a logo for [brand name] that feels unique, trustworthy, and professional.
Avoid common trends, clichés, and designs used by competitors.”
🚨 BREAKING: Claude can now create logos that look like they cost $10,000. 🤯
I tested it myself.
The final result? $0. 💸
Here are the 7 prompts I used 👇
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Most people use NotebookLM to summarize PDFs.
That’s barely the beginning.
With the right prompts, NotebookLM can become your research assistant, study partner, content strategist, and knowledge engine—turning hours of manual work into minutes.
Here are 9 powerful prompts to unlock what NotebookLM can really do 👇
🚨 𝟭𝟮 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗔𝗜 𝗧𝗘𝗥𝗠𝗦 𝗬𝗢𝗨 𝗡𝗘𝗘𝗗 𝗧𝗢 𝗞𝗡𝗢𝗪
AI agents are moving from “cool demos” to real-world systems.
And if you’re building, using, or investing in AI in 2026, these 12 terms will show up everywhere. 👇
❶ 𝗠𝗖𝗣 — 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹
A standard that lets AI agents connect with tools, APIs, and data through one interface.
❷ 𝗔𝗴𝗲𝗻𝘁 𝗟𝗼𝗼𝗽
𝗣𝗘𝗥𝗖𝗘𝗜𝗩𝗘 → 𝗣𝗟𝗔𝗡 → 𝗔𝗖𝗧 → 𝗢𝗕𝗦𝗘𝗥𝗩𝗘
The cycle agents use to reason, act, check results, and continue.
❸ 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲
The ability to call external tools like APIs, browsers, databases, and code runners.
❹ 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗼𝗿
The “manager” that breaks a big goal into smaller tasks and assigns them to specialized agents.
❺ 𝗦𝘂𝗯𝗮𝗴𝗲𝗻𝘁
A specialized AI worker focused on one specific task inside a larger workflow.
❻ 𝗠𝗲𝗺𝗼𝗿𝘆
How an agent stores and retrieves information across a task or even across sessions.
❼ 𝗚𝗿𝗼𝘂𝗻𝗱𝗶𝗻𝗴
Connecting AI responses to trusted, external data so answers are more accurate and less likely to hallucinate.
❽ 𝗚𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀
Rules that stop agents from taking dangerous, unauthorized, or out-of-scope actions.
❾ 𝗦𝗮𝗻𝗱𝗯𝗼𝘅𝗶𝗻𝗴
Running agent-generated code inside an isolated environment before it can affect real systems.
❿ 𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽
The agent pauses and asks a human for approval before taking high-stakes actions.
⓫ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗪𝗶𝗻𝗱𝗼𝘄
The amount of information an AI can process and reason over in a single interaction.
⓬ 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁
Multiple specialized agents working together—researcher, writer, coder, fact-checker, etc.—to solve a complex goal.
🔥 The big picture:
MCP connects the tools.
Tool use lets agents act.
Memory helps them remember.
Grounding keeps them accurate.
Guardrails keep them safe.
Orchestration makes them work together.
Learn these 12 terms and you’ll understand a huge part of the agentic AI conversation happening right now.
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❤️ Like if you want more practical AI breakdowns.
Follow @David_TornAI for more AI insights.
Summary of the "5-Year" Strategy:
1. Don't obsess over job titles.
2. Focus on growth, impact, and learning.
3. Align your goals with the company's success.
4. Show ambition without sounding entitled.
5. Make them believe you're someone worth investing in.
They aren't asking you to predict the future.
They're asking whether you're someone they can build the future with.
20. The "Company Growth"
"My ideal future is one where my career growth and the company's growth happen together. If the business succeeds because of my work, I'll know I'm on the right path."
Why it works:
It aligns your success with theirs.
It sounds loyal.
It ends on a strong note.