newsletterAugust 6, 2026·Towards Data Science

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

A minimal loop with real API calls, validation, compact outputs, and trace evidence before adding an agent framework The post I Built a Tool-Calling Agent in Python. Here’s How I Debugged It appeared first on Towards Data Science.

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•A minimal loop with real API calls, validation, compact outputs, and trace evidence before adding an agent framework The post I Built a Tool-Calling Agent in Python
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.

A step-by-step guide to building a data agent and conversational interface that let business users to explore data in natural language without SQL The post I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How. appeared first on Towards Data Science.

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Last Month’s Machine Learning Lessons Learned

The downside of conference travel The post Last Month’s Machine Learning Lessons Learned appeared first on Towards Data Science.

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Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer

Enterprise Document Intelligence [Vol.1 #11] - When the first answer points elsewhere in the document, the pipeline loops back to fetch the linked context The post Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer appeared first on Towards Data Sc

Towards Data Science

Introduction to Semi-Supervised Learning

A primer about Semi-Supervised Learning, the approaches taken with different algorithms and the limitations of using unlabelled data. The post Introduction to Semi-Supervised Learning appeared first on Towards Data Science.

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I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

Key Takeaways

Related Articles

I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.

Last Month’s Machine Learning Lessons Learned

Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer

Introduction to Semi-Supervised Learning

Discussion

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

Key Takeaways

Related Articles

I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.

Last Month’s Machine Learning Lessons Learned

Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer

Introduction to Semi-Supervised Learning

Discussion

Related Articles

Towards Data Science
I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.
A step-by-step guide to building a data agent and conversational interface that let business users to explore data in natural language without SQL The post I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How. appeared first on Towards Data Science.

Towards Data Science
Last Month’s Machine Learning Lessons Learned
The downside of conference travel The post Last Month’s Machine Learning Lessons Learned appeared first on Towards Data Science.

Towards Data Science
Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer
Enterprise Document Intelligence [Vol.1 #11] - When the first answer points elsewhere in the document, the pipeline loops back to fetch the linked context The post Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer appeared first on Towards Data Sc

Towards Data Science
Introduction to Semi-Supervised Learning
A primer about Semi-Supervised Learning, the approaches taken with different algorithms and the limitations of using unlabelled data. The post Introduction to Semi-Supervised Learning appeared first on Towards Data Science.