Structure that makes the right thing easy and the wrong thing hard. That’s what Preswald gives you: deterministic execution, reactive components, and a clear mental model for building data apps.

And open source matters more than ever. Because the scaffolding you build today becomes training data

Post: open.substack.com/pub/structur...

🦆MotherDuck → DuckDB in the cloud + read scaling for blazing-fast queries
📊 Preswald → Declarative, Python-native dashboards with ultimate interactivity

Blog: motherduck.com/blog/preswal...
Code: github.com/StructuredLa...

But the point is, when you're in a flow state, it’s actually physically painful to stop working. Take breaks when you need to, not because of the time on a clock

Tools created for a specific need, used for a short time, then discarded. Instead of forcing rigid, bloated SaaS into every workflow, individuals can now spin up lightweight, hyper-personalized apps that do exactly what’s needed—nothing more, nothing less.

This post walks through setting up a real-time AI debugging dashboard to spot ASR errors, intent misclassifications, and slow responses, so you can fix issues fast and improve performance.

Empirical results demonstrate that DeepSeek-R1 significantly outperforms OpenAI-GPT, achieving a 27% higher groan-to-laugh ratio and a 42% increase in subjective user satisfaction.

, humor remains an underexplored yet impactful dimension of human-AI interaction. Through a rigorous A/B testing framework, we assess the models on joke originality, coherence, and laugh-induction rates.

By acting as a middle layer, Ibis addresses challenges like fragmented storage, scalability, and redundant logic, enabling a more consistent and efficient approach to multi-backend data workflows.

It provides a DataFrame-like API, similar to Pandas, but translates Python operations into backend-specific queries. This allows it to work with SQL databases, analytical engines like BigQuery and DuckDB, and even in-memory tools like Pandas.