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What is agentic AI? (explained in 60 seconds)

Agentic AI is the next evolution of artificial intelligence. Unlike traditional AI, it can act autonomously and make decisions on its own. Here’s what that actually means, without the hype. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

How To Cut Your LLM Costs for Startups (Without Slowing Product)

In February 2026, most startups don't "adopt AI" in a neat, planned way. LLM usage spikes the week you ship a new feature, add an agent, or connect tools. Budgets don't spike with it. The good news is that the biggest savings usually come from smarter routing, caching, and workload design, not from ripping out your stack or rewriting everything.

CX Trends 2026: How AI Reads Emotions, and Why 92% Still Want Humans When Things Go Wrong

By 2029, AI will autonomously handle 80% of customer interactions. That leaves your human agents handling only the remaining 20% the complex, emotionally charged moments that determine whether customers stay or leave. You're building a Ferrari for highway driving while your emergency braking system still relies on hope and 2019 escalation protocols.

DraftOut: Bypassing AI Detection in Modern Academia

Students today often face the pressure of producing high-quality academic writing quickly. They want speed, efficiency, and clear results, but many AI-generated drafts are immediately flagged by detection tools like Turnitin safety or bypass GPTZero. These detectors are designed to identify repetitive patterns, formulaic phrasing, and lack of nuanced reasoning, common in generic AI outputs.

AI Search Technologies and the Future of Intelligent Information Retrieval

The transformative power of artificial intelligence (AI) is evident across a multitude of sectors, none more so than in AI search technologies, a pivotal advancement reshaping the future of internet navigation and information retrieval.

How we built Grafana Assistant - a conversation about AI development for observability

This conversation with Grafana Labs engineers, Mat Ryer, Cyril Tovena and Sven Großmann, dives deep into the engineering behind Grafana Assistant, exploring how agentic AI is transforming the observability landscape. From hackathon origins to sophisticated backend agents, the team shares candid lessons on building, scaling, and refining AI tools for engineers.