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Episodes


Using RL Agent to Detect and Remediate ETL Pipeline Failures - Anna Marie Benzon
Automating ETL failure remediation requires a hybrid architecture that balances autonomous decision-making with strict operational guardrails. By integrating deterministic anomaly detection, tabular Q-learning for action selection, and external safety overrides, systems can effectively compress incident response loops ...

Your Agent Failed in Prod. Good Luck Reproducing It. - Tisha Chawla & Susheem Koul, Microsoft
Debugging AI agents in production requires shifting the focus from achieving bitwise determinism to ensuring system replayability. Because LLM outputs are inherently non-deterministic due to hardware-level factors, request batching, and mixture-of-experts routing, attempting to force absolute consistency is a futile ef...

Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labs

AI-Driven Multi-Document Correlation for Financial Compliance - Varsha Shah, Independent

We Cut 94% of AI Coding Tokens With a Local Code Index - Rajkumar Sakthivel, Tesco

Your Agent Is Wasting Tokens and You Don't Know It - Erik Hanchett, AWS

OpenClaw in Your Hand: Building a Physical AI Terminal - Lech Kalinowski, Callstack

Bypassing the Multimodal Tax: Hybrid RAG, SQL RRF & UI Telemetry - Abed Matini, Ogilvy

AI System Design: From Idea to Production - Apoorva Joshi, MongoDB

When All Context Matters: Extended Cache Augmented Generation - Luis Romero-Sevilla, Orbis

Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc

Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundation

HTML is All You Need (for Agents to Make Graphics) - Amol Kapoor, Nori

Turbocharge Your Agent's Retrieval with TurboQuant - Shashi Jagtap, Superagentic AI

Using Spec-Driven Development for Production Workflows - Erik Hanchett, AWS

User Signal Dies at the Retrieval Boundary - Sonam Pankaj, StarlightSearch

Structuring the Unstructured - Cedric Clyburn, Red Hat

Agents Building Agents - Alfonso Graziano, Nearform

Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK
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