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What I've Learned Testing 100+ AI Tools For Research

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Andy Stapleton


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Andy Stapleton's video "What I've Learned Testing 100+ AI Tools For Research" reveals that while no single AI tool suits all research needs, effectively using a personalized selection of tools requires clear, specific prompts and adapting to their evolving capabilities, all while managing AI fatigue by focusing on what benefits your research the most.

Favorite Quote from the Author

you need to create your own AI toolkit you need to sort of chain together different AI tools that allow you to get the most out of the vast array of tools that are right there

💨 tl;dr

To get the best from AI tools, prompt effectively with context and specifics. No single tool does it all; build a personalized toolkit and stay adaptable as the landscape changes. Be aware of publishing rules and manage AI fatigue by focusing on what works for you.

💡 Key Ideas

  • Proper prompting is key for getting the best results from AI tools; include context, constraints, format, and audience.
  • No single AI tool covers the entire research process—create a personalized toolkit by combining various tools for optimal outcomes.
  • The landscape of AI tools is rapidly evolving; stay flexible and ready to adapt your toolset as needed.
  • Be mindful of AI usage rules in publishing, as enforcement can be lax among major companies.
  • AI fatigue is real; stay informed about tools but don’t feel pressured to constantly try new ones.
  • Different AI tools have varying effectiveness in different research areas; use what works best for you instead of chasing trends.
  • Literature mapping and data analysis are similar processes; choose tools based on personal preference.

🎓 Lessons Learnt

  • Prompt Effectively: Provide clear context, specify your needs, and use the right format to get the best results from AI models.

  • Stay Specific: If the AI misses the mark, give more detailed prompts to refine the output based on what you want or dislike.

  • Be Adaptable: AI tools are constantly evolving; be ready to switch tools if they’re not meeting your needs anymore.

  • Know the Rules: Understand the publishing guidelines regarding AI use, as they can differ widely and change over time.

  • Manage AI Fatigue: It's normal to feel overwhelmed by the options; focus on what works for you and don’t chase every new tool.

  • Stick with What Works: Once you find a tool that fits your needs, don’t stress about constantly looking for new alternatives unless there's a major upgrade.

  • Create Your Own Toolkit: Tailor an AI toolkit that suits your personal workflow and preferences.

🌚 Conclusion

In the fast-evolving world of AI, the key is to tailor your approach. Use the right prompts, create a toolkit that fits your workflow, and don’t stress about trying every new tool. Stick with what works and stay informed.

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In-Depth

Worried about missing something? This section includes all the Key Ideas and Lessons Learnt from the Video. We've ensured nothing is skipped or missed.

All Key Ideas

Insights on AI Tools and Prompting

  • Large language models do a pretty good job at almost everything these tools do, but proper prompting is essential.
  • A perfect prompt includes context, what you want with constraints, format, and audience.
  • There is no one AI tool that can be used throughout the entire research process; each excels at particular tasks.
  • You need to create your own AI toolkit by chaining together different AI tools for optimal results.
  • The current stage of AI tools is likened to the 'wild west,' and collaborative effort between the user and AI is crucial.

Considerations for Using AI Tools

  • AI tools are constantly changing, affecting their usefulness, so users need to be flexible and ready to swap them out when necessary.
  • Users should be aware of the rules regarding AI use in publishing, as major companies cannot effectively enforce restrictions.
  • AI fatigue is common, but it’s important to stay informed about available tools without feeling pressured to constantly try new ones.
  • Different AI tools work better in different research fields, and users should stick with what works for them rather than chasing the latest trends.

Literature and Data Analysis

  • writing finding literature literature mapping doing AI um data analysis they're all pretty much the same
  • it's just about what ones you like to use and no one can decide that but you

All Lessons Learnt

Tips for Prompting Large Language Models

  • You need to prompt large language models properly.
  • Provide context in your prompts.
  • Specify what you want and any constraints.
  • Use the preferred format in your requests.
  • Consider your audience.
  • Create your own AI toolkit.
  • Iterate and collaborate with the AI.

Tips for Using AI Tools

  • Be specific with your prompts: If the AI doesn't give you what you want, provide extra information and be clear about what you like or dislike to refine the response.
  • Stay adaptable with AI tools: AI tools can change suddenly, so be open to swapping them out if they no longer serve your needs effectively.
  • Understand publishing rules around AI: Familiarize yourself with the specific rules of publishers regarding AI use, as these can vary and evolve over time.
  • Recognize AI fatigue is normal: It's common to feel overwhelmed by the number of AI tools available, but focus on what works for you and avoid feeling pressured to constantly seek the newest options.
  • Stick with what works: Once you find an AI tool that meets your needs, don’t stress about exploring every new option unless there’s a significant improvement in functionality.

Lesson Learnt

  • Choose the AI tools that you like.

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