293 stories
A practical buyer’s guide to evaluating AI agent development companies on production evidence, security, testing, integrations, operations, and total cost.
AI can write code quickly, but shipping reliable software remains a human endeavor. The operating model I've built at Ariso: sprint planning becomes a dashboard of to-dos, I rewrite each in my own words inside Ivan, Ivan opens draft PRs, and custom widgets surface the review queue.
Nathan Labenz and Prakash Narayanan review AI developments including evaluations of Astra and safety pacing. Joined by industry guests, they explore defensive cybersecurity, agent infrastructure, US-China competition, and human agency amid rapid technological growth.
GPT-6 Astra earns a clear verdict: if your work involves multi-step digital tasks, this is the most meaningful upgrade OpenAI […] The post GPT-6 Astra Review: Is It Worth the Upgrade in 2026? appeared first on AiZolo.
A practical guide to AI voice agent architecture, use cases, implementation, evaluation, cost, safety, and human handoff.
Build a daily briefing from meetings using Granola Recipes. Turn interview notes into structured summaries with citations in minutes.
Four agents, one Jira board, and a week’s worth of bugs nobody had noticed.
Discover what autonomous AI agents are and how they work. Learn different levels of autonomy, common use cases, and ways to mitigate risks.
An agentic OS is a real layer of responsibility, not a product you can buy. Here is where the operating system metaphor holds, the four places it breaks, and the seven questions to ask any vendor claiming to be one.
Testing out Meta's Muse AI, a task agent, for automating WordPress blogging. While the AI is powerful, it's not integrated like some AI blogging platforms, which means it requires some engineering workarounds.
Self-hosted AI agents take a weekend to stand up. Operating them takes a team. A day-2 cost breakdown of uptime, containers, scheduling, state, observability, secrets and approvals, plus the self-hosted vs managed vs hybrid decision table.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
2.8 million AI agent API calls a day across 4,892 storefronts. Building access control for a platform where most principals are machines.
When an AI agent causes harm, leaders must be able to defend why it was allowed to act. To a board, auditor, or regulator, they need to show that the agent’s permissions, controls, and approvals were matched to the consequences of failure.
An AI employee is an agent that owns a job, not a chatbot you prompt. What they are, the six runtime primitives they need, the eight roles they run today, what they cost, and how to deploy one this week.
LangGraph vs AutoGen in 2026 is not an even fight: AutoGen is in maintenance mode and LangGraph 1.0 is the live production choice. A straight build-vs-migrate guide.
How do you make an AI agent more reliable without changing the model or continuously modifying the prompt? In this practical demo, we start with a very basic banking AI agent and progressively build a Harness around it.
Enterprise AI agents fail on operations, not intelligence. A practical guide to what enterprise-grade requires, why 40% of projects get canceled, and how to deploy agents you can watch, govern, and trust.
Showing 180 of 293 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
