In this tutorial, we create an advance grip tape-based customer support automation system that combines deterministic tooling with agentic logic to process real-world support tickets from start to finish. We …
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Author(s): Ritesh Meena Originally published on Towards AI. Part 2: Drop the theory. Here’s what we actually created. A technical deep dive into the architecture made our development workflow 10x …
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Image by author # Introduction agent ai systems that use large language model (LLM) to reason, plan, and execute multi-step tasks, promising a new era of automation. However, their non-deterministic …
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Forget Keyword Mimicry: ByteDance AI Maps Molecular Bonds in AI Reasoning to Stabilize Long Chain-Thought Performance and Reinforcement Learning (RL) Training
ByteDance Seed recently released research that could change the way we build reasoning AI. For years, developers and AI researchers have struggled to ‘cold-start’ large language models (LLMs). Long Chain …
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Is there a community edition of Palantir? Meet OpenPlanter: An Open Source Recursive AI Agent for Your Micro-Surveillance Use Cases
The balance of power is changing in the digital age. While governments and large corporations have long used data to track individuals, a new open-source project called openplanter That power …
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How to design an agent workflow for tool-driven route optimization with deterministic computation and structured output
In this tutorial, we create a production-style route optimizer agent for a logistics dispatch center using the latest Langchain Agent API. We design a tool-driven workflow in which the agent …
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Last updated on February 21, 2026 by Editorial Team Author(s): know-island Originally published on Towards AI. Analyzing the agent framework that hit 100K GitHub stars in a week – and …
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Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini “Reference Window” Economy In the world of large language models (LLM), attention is a finite currency. While the …