11  Conclusion

In this guide, we’ve covered a lot of ground. Below are three main ideas that we hope you’ll take away:

1. Stop chasing AI tools and focus on process first
2. Look at your raw data - don’t trust metrics blindly
3. Build AI features that amplify your existing advantages through the right strategy

Now it’s time to put them into practice. Here are some resources you can use to learn more:

• Our free survey course on LLMs​, taught by practitioners. This is more technical than this series, but is a good resource for engineering teams to up-level on AI.
• The O’Reilly article ​What We Learned From A Year Building With LLMs​, written by Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Shreya Shankar, and Jason Liu.

If you would like more hands-on help, you can work with us directly through our paid ​consulting services​ (but our availability may be limited).

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