The world is becoming more agentic. Learn next

✅ SearchGPT saves you massive time. (10X Google)
✅ Writer for swift app development
✅ Which coding language is most succinct
✅ GitHub’s Spark, a productivity masterpiece for app development
✅ Workshop: I’ll teach f2f - Build your own agent and enjoy working with it

SearchGPT is Perplexity AI’s main rival in search. I haven't used Google in ages—traditional Google Search is fading, though Google still holds ground with Gemini.

Don’t waste time with old research methods—use these advancements by being another 30+% more efficient. I’ll happily keep you posted with this newsletter. 🤎

SearchGPT has a conversational interface, cites its answers, and has reliably up-to-date information.

The advantage it has over Perplexity AI (that I am very fond of) is that ChatGPT knows you and can tailor your information!

RAG in just a few lines of code? We’ve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.

Integrated into Writer’s full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.

Learn more about our production ready RAG tooling here.

If you look at character counts of 10 basic programs in each, Java has 2x higher entropy than Python. Java is thus called more verbose.

See here the character count for the five coding examples: Factorial, Quick Sort, Hello World, and Setting up a Web Server. Python consistently has the least characters it uses.

But it is not only how succinct a programming language is but also how readable. Too little is bad, and too much is bad, too.

I choose Python when I can because I think it is in the sweet spot between readability and concise code.

Can you succinctly and coherently describe your idea? Then, you can build products, apps, and other programs.

Throughout this episode alone, you can see the development of agentic workflows.

GitHub Spark is another stab at it. This video shows how intuitive app development with GitHub Spark can be.

As tools grow, their complexity grows. GitHub Spark has an answer for that: NL-based toolchain.

Start with your basic concept and grow complexity naturally through assisted exploration. Interactive previews, revision variants, automatic history, and model selection.

Read the blogpost here.

⚠ I am on the waitlist. If you want me to demo how to implement it, let me know in the comments or reply to this email.

The AI Summit Seoul has been at the forefront of tech for years.

Only signal, no noise.

This year, I am happy to share GenerativeAI.net's self-developed framework for using current AI tools most effectively in product development.

Additionally, I'll host a hands-on workshop this year. Participate, learn frameworks, build your agent, and enjoy working with an agent at your hand.

That’s a wrap! I hope you enjoyed it.

Martin