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AI Resources

Here are the three best prompting guides:

  • Anthropic’s “Prompt Engineering Overview is a free masterclass that’s worth its weight in gold. Their “constitutional AI prompting” section helped us create a content filter that actually works—unlike the one that kept flagging our coffee bean reviews as “inappropriate.” Apparently “rich body” triggered something…

  • OpenAI’s “Cookbook is like having a Michelin-star chef explain cooking—simple for beginners, but packed with pro techniques. Their JSON formatting examples saved us 3 hours of debugging last week…

  • Google’s “Prompt Design Strategies breaks down complex concepts with clear examples. Their before/after gallery showing how slight prompt tweaks improve results made us rethink everything we knew about getting quality outputs.

And here’s how to build agents that actually work:

  • OpenAI’s “A Practical Guide to Building Agents” walks through creating AI systems that take meaningful actions. Their troubleshooting section saved us from throwing laptops out the window after an agent kept booking meetings at 3 AM. Turns out there’s a 2-minute fix for timezone handling.

  • Anthropic’s “Building Better Agents explains complex concepts simply. We used their framework to build a research assistant that actually cites sources correctly—unlike the one that confidently attributed Shakespeare quotes to Taylor Swift.

  • LangChain’s “Build an Agent” Tutorial is like training wheels for an expert-level project. Their walkthrough helped us create a functional data-processing agent in under an hour—compared to three days of piecing together random GitHub solutions.

What makes these guides special? They explain the reasoning behind different approaches so you can adapt techniques to your specific needs.

Pro tip: Save these guides as PDFs before they disappear behind paywalls. The best AI users keep libraries of these resources for quick reference.

Websites with AI

AI TRAINING

🖥️ Create websites using ChatGPT o3 and Canvas

Skivp

The Rundown: In this tutorial, you will learn how to create fully-functional web applications with database capabilities using ChatGPT o3 and Canvas, and then deploy them for free — no coding skills required.

Step-by-step:

  1. Head over to ChatGPT, select the “o3” model, and activate the ‘Canvas’ option.

  2. Prepare a detailed prompt describing your desired HTML web application, including purpose, features, design preferences, and functionality requirements.

  3. Test your application using the “Preview” button and request any necessary modifications.

  4. Save the code as an HTML file and deploy using Cloudflare by navigating to Workers & Pages, selecting “Create using direct upload,” and uploading the file.

Pro tip: Applications with local storage will maintain user data between sessions even when deployed, making them perfect for small applications

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