#agentic-ai

#agentic-ai

It's a very broad question. But, to start, I think it's important to point out that this is in some respects an entirely new form of business logic and a new form of computing. And so, the first question becomes, if agentic systems are reasoning models coupled with agents that perform tasks by leveraging reasoning models, as well as different tools that have been allocated to them to help them accomplish their tasks ... these models need to run on very high-performance machinery.

We have now done about a million and a half conversations with our customers (through the agentic layer) and at the same time ... a million and half conversations also happened through our support agents during that same period. The SEASAT scores were about the same, which was stunning and also I was able to rebalance my headcount on my support - I've reduced it from 9,000 heads to about 5,000 because I need less heads.

Virginia Gov. Glenn Youngkin turned heads last month when he signed an executive order mandating that the commonwealth must use agentic artificial intelligence to further streamline its regulations. The Office of Regulatory Management has already achieved a 26.8% streamlining or reduction of the commonwealth's regulatory requirements, and Youngkin said in a statement that agentic AI "will push this effort further."

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define "agentic," then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics.

Supposedly, the word of the year in technology is "agentic." By the end of the year it'll probably be "bubble," but for now the world is meant to tremble before the awesome promise of agentic. It takes AI to a whole new level! It heralds the new human-free workforce! It keeps Woody Harrelson out of the rain! As the shiny object economy grows complacent with magic interactive chatbots, the agentic AI era to transform those humdrum chatbots into something... else.

To the surprise of no one in the security industry, processing untrusted, unvalidated input is a bad idea. Until about a week ago, Perplexity's AI-based Comet browser did just that - asked to summarize a web page, the AI-powered browser would ingest the text on the page, no questions asked, and process it. And if the page text - visible or hidden - happened to include malicious instructions, Comet would attempt to comply, carrying out what's known as an indirect prompt injection attack.

Alpha's suite of digital agents replaces traditional roles in the mortgage workflow, allowing brokers to streamline operations without relying on costly middleware SaaS products.

The final week delivered the advanced tools and mindsets needed to operationalize agentic AI at scale, focusing on evaluation, governance, and production environments.

"Agentic AI systems are designed to make decisions, take effective actions, and then adapt their behavior based on the environment, along with the types of goals that they are pursuing."

"It's about stitching capabilities together so that agents can act on behalf of users in increasingly sophisticated ways."

The rise of agentic AI - autonomous systems that understand, plan, and act using large language models (LLMs) - is rapidly reshaping how developers and data professionals think about automation.

Agentic AI represents a significant operational shift for enterprises as it moves beyond traditional automation to introduce autonomous, goal-oriented systems capable of making decisions.

To deploy agentic AI responsibly and effectively in the enterprise, organizations must progress through a three-tier architecture: Foundation Tier, Workflow Tier, and Autonomous Tier where trust, governance, and transparency precede autonomy.

The AI search startup Perplexity officially launched Comet, a web browser designed to feel more like a conversation than a scroll, aiming to replace traditional web browsing.

"Agentic AI is driving significant compute demands, and AI Runners provide a practical, secure solution for every developer," said Alfredo Ramos, Chief Product and Technology Officer at Clarifai. "It's essentially ngrok for AI models, letting you build on your current setup and keep your models exactly where you want them."

Creative Hub allows brands to analyze current ads to determine what is and isn't working and revise accordingly. For example, one client saw that ads set in daytime performed noticeably worse than ads in nighttime settings.

Agentic AI models, trained to use tools and access data, could redefine software, enhancing personalization through real-world actions and automation.

Many businesses have the availability to begin adoption and testing. For other use cases like healthcare, it's not complete or finished in a wrapped-up way businesses can adopt.

"Most agentic AI projects right now are early stage experiments or proof of concepts that are mostly driven by hype and are often misapplied," said Anushree Verma, Senior Director Analyst at Gartner.

Today's retail leaders are embracing the power of Agentic AI, allowing for smarter systems and achieving faster growth by relinquishing control in marketing strategies.

Agentic AI tools can go beyond the capability of chatbot by taking actions online, such as purchasing an item or booking a reservation.