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In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably computes distances, ETAs, and optimal routes rather than guessing, and we enforce structured outputs to make the results directly usable in downstream systems. We […]
The balance of power in the digital age is shifting. While governments and large corporations have long used data to track individuals, a new open-source project called OpenPlanter is giving that power back to the public. Created by a developer ‘Shin Megami Boson‘, OpenPlanter is a recursive-language-model investigation agent. Its goal is simple: help you
In this tutorial, we build a “Swiss Army Knife” research agent that goes far beyond simple chat interactions and actively solves multi-step research problems end-to-end. We combine a tool-using agent architecture with live web search, local PDF ingestion, vision-based chart analysis, and automated report generation to demonstrate how modern agents can reason, verify, and produce
Building simulators for robots has been a long term challenge. Traditional engines require manual coding of physics and perfect 3D models. NVIDIA is changing this with DreamDojo, a fully open-source, generalizable robot world model. Instead of using a physics engine, DreamDojo ‘dreams’ the results of robot actions directly in pixels. https://arxiv.org/pdf/2602.06949 Scaling Robotics with 44k+
AI in the APAC retail sector is transitioning from analytics and pilots into workflows and daily operations. Dense urban stores, high labour churn, and competitive quick-commerce ecosystems are driving the uptake. A Q4 2025 survey by GlobalData found that 45 percent of consumers in Asia and Australasia are very or quite likely to purchase a
Amazon’s cloud unit has suffered at least two outages due to errors involving its own AI tools, leading some employees to raise doubts about the US tech giant’s push to roll out these coding assistants. Amazon Web Services experienced a 13-hour interruption to one system used by its customers in mid-December after engineers allowed its
In this tutorial, we build a glass-box agentic workflow that makes every decision traceable, auditable, and explicitly governed by human approval. We design the system to log each thought, action, and observation into a tamper-evident audit ledger while enforcing dynamic permissioning for high-risk operations. By combining LangGraph’s interrupt-driven human-in-the-loop control with a hash-chained database, we
Google has officially shifted the Gemini era into high gear with the release of Gemini 3.1 Pro, the first version update in the Gemini 3 series. This release is not just a minor patch; it is a targeted strike at the ‘agentic’ AI market, focusing on reasoning stability, software engineering, and tool-use reliability. For devs,
In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define clear response schemas, wire in tools via dependency injection, and ensure the agent can safely interact with external systems, such as a database, without breaking execution. By
Artificial intelligence is moving closer to the point where it can act, not advise. A new pilot by DBS Bank shows how that change may soon affect everyday payments, as financial institutions begin testing systems that allow AI agents to complete purchases on behalf of customers. DBS is working with Visa to trial Visa Intelligent
DBS pilots system that lets AI agents make payments for customers Read More »
