As an AI Coach, Advisor, and Agent Builder, I help organizations and business leaders harness the power of artificial intelligence to boost productivity and streamline operations. I enable organizations to navigate the transformative landscape of AI, educating teams, identifying operational and strategic opportunities with AI and creating a framework for safe and transparent use of data in the organization.
Day 4: Paste, save, and resist the urge to "understand" it all
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[This is Day 4 of 5.] Today you'll open a file called A note about safety here: the API key is visible here together with the URL. As a result, they are technically visible to people on the internet. As a result, do not put PII or sensitive info in your to do list as it may be visible to those who search (unlikely but safety first!). In a subsequent exercise another week, we'll work through building something where the API keys MUST remain hidden and how that works. Back to the building, you don't need to understand the code to use it. You drive a car without knowing how the engine fires. Same deal. Claude wrote this; your job is to drop your two keys in the right spots, which I've marked clearly. If you hit a snag (a quote in the wrong place, a line that looks off) don't spiral. Copy the file, paste it into Claude, and say "I pasted my keys here, something's wrong, what did I miss?" That's not cheating. That is the skill. Knowing how to ask the machine to debug itself is more valuable than memorizing syntax. Asking Claude is always the hack. You're one step from a working dashboard. You can feel it now. 👉 Today's steps: Step 4​ Tomorrow: we flip the switch and put it online. Alex |
AZAI Advisory
As an AI Coach, Advisor, and Agent Builder, I help organizations and business leaders harness the power of artificial intelligence to boost productivity and streamline operations. I enable organizations to navigate the transformative landscape of AI, educating teams, identifying operational and strategic opportunities with AI and creating a framework for safe and transparent use of data in the organization.
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