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Last October, I published a blog proposing a different mental model for AI agents: Treat them as cognitive skills and products, not as digital employees. That framing has since res...
Agentic SDLC, or agentic software development life cycle, is the next major shift in how I think about building and shipping software. It is not simply AI writing a few lines of co...
This article walks through and explains the five ideas that actually hold agentic systems together.
A minimal OpenAI Agents SDK implementation where retrieval becomes a search-read-decide loop The post Agentic RAG: Let the Agent Search appeared first on Towards Data Science.
LLM + Tools ≠ Agent I used to think an AI agent was simply: LLM + tools = Agent After exploring agentic system design, I’m starting to see it differently. The LLM is only one c...
Agentic AI for enterprise is no longer a future concept; it’s here and transforming how organizations operate. Unlike traditional AI tools that respond to prompts, agentic systems...
A framework for aligning agentic AI with enterprise intent to ensure consistent scenario‑wide autonomous behavior. The post The Three Dimensions of Custom Agentic Alignment: Purpos...
But because agents often require guidance or additional context as they move through their tasks, Sharma, 27, finds himself wanting to be available to them around the clock and for...
Agentic AI plans and acts autonomously to reach a goal. Learn how it works, how it differs from generative AI, real examples, and how to test agentic systems.
Deloitte's latest research serves as a timely reminder that the next phase of AI will be defined le
How agents discover tools, call services, and coordinate across systems is now standardizing. If you're building infrastructure that agents will use, it helps to know how the Model...
In this article, you will learn how agentic AI architecture has evolved by mid-2026, including the shift away from orchestrated reasoning loops, the rise of...
What our over-dependence on external consulting teaches us about delegating our minds to machines The post The Big Con of Agentic AI appeared first on Towards Data Science.
From a new paper by Shruti Rajagopalan: AI agents now transact, publish, and act on external systems without contemporaneous human approval, creating new regulatory challenges. A g...
PERSONAL agency is the ability to see choices and the belief in your ability to act on them. Agentic people take ownership of their own lives. You Can Just Do Things author Cate Ha...
As a founding partner to the new Agentic Resource Discovery specification, Salesforce is helping shape the open standard that gives AI agents a universal way to find, trust, and in...
More AI, fewer excuses for bad leadership.
That second question isn't a retrieval problem — it's a computation problem that depends on live, structured, user-specific data. This is exactly the gap agentic RAG closes: it kee...
Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology. The post Q&A: What Is...
Identity lifecycle management was architected around a person with an employment record, a manager, and a departure date. AI agents have none of those. As autonomous principals pro...
Agentic AI frameworks let LLMs plan, use tools, and act autonomously. Compare 7 leading frameworks, see how to choose one, and how to test the agents you build.
Artificial intelligence is evolving quickly. While earlier AI was mainly used for tasks like predicting trends or generating content, now there’s a new, more advanced version. This...
Agents that plan and act are real; hands-off autonomous DevOps is mostly hype. Where agentic AI fits, what Gartner found, and how to adopt it.
Building manager–specialist workflows with the OpenAI Agents SDK The post Using Agents as Tools appeared first on Towards Data Science.
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