Tech

Google just put 'agent' on every slide at I/O 2026. Google DeepMind's CTO says agents are finally 'really in our lives.' I've been shipping production agents for two years. The gap between what big labs announce and what actually works is your business opportunity, but only if you can actually deliver.

Linara Bozieva got laid off from eBay, knew nothing about marketing, and built a three-layer AI workflow with 27 custom agents that runs an entire agency — for under $1,000 a month. That is the architecture of what comes next. I have been building exactly this way with Virgent AI, and here is what most people are still missing about it.

Coinbase killed the pure manager role. If your strategist cannot build, they are a liability — not an asset. This is not a crisis. It is a correction.

Call it validation: models alone are not enough. You need people who can deploy them.

Most companies do not have an AI adoption problem. They have an accountability problem dressed up as innovation. If the agent cannot show the number, shut it down.

The cloud AI honeymoon is ending. Once agents carry credentials, touch customer data, and make decisions, inference stops being a feature and becomes infrastructure.

If your AI modernization "expert" is pushing Loveable on your business, this is a major red flag. Buyer beware.

Edge computing, serverless, WebLLM, MCP, A2A, AG-UI. What they are, why they matter, and what your org can do with them right now.

Advice for founders who are starting an AI Native Agency, from the first to do it in the DMV.

Angel capital is the fuel that gets companies across the valley between research and real business. Unlocking more pathways for AI integration in government services.

How we are scaling the human side of our AI Native Services business, and automating the work that makes delivery take longer.

AI accelerates execution, but experienced humans preserve coherence and manage risk. Agentic systems are agent-like, and thrive when you keep your best people in the loop.

Recent market turmoil, and an unending amount of headlines all boil down to this. The market is changing, and the biggest winners are going to be the folks who get hands on, champion user experience, and communicate effectively.

Every week I take a tool I'm sick of paying for and, I replace it with something custom in house. I own all my code I can make any customizations and I can talk to my AI developers any time of day. There's a reason the market took a tumble today. Most SaaS is dying.

When you screen calls with AI, you may be sending the wrong message. That message is "You are not important enough for my direct attention."

If you want to go fast, go alone. If you want to go far, go alone. Frankly, Collaboration is often just Lip Service.

Tired of your electric bill? Here comes Nuclear Fusion. But there might be some scandal along the way...

The barrier to building a testable MVP has never been lower. Here is how I go from zero to shipping—and how you can too. No excuses. No gatekeeping. Just outcomes.

Four years with AI. Thirteen months building Cadderly, peake.ai, jessealton.com, virgent.ai, and dozens of customer agents. All as an army of one. This is what happens when the tools finally catch up to the vision.

Sick of overpaying for clunky VoIP services, we coded our own AI-enhanced phone system. V1 was live in 60 minutes. LangChain automations followed an hour later. Today it powers our outbound calling.

Case study: Production AI agent deployed in 2 weeks, replacing failing chatbot. $10,000+ monthly savings, 50% ticket reduction, ROI in under 60 days.

Seems simple does it not? Up is up. However, if you are one class of creator, you operate in a XYZ world.

In the swiftly evolving landscape of the digital world, terms such as Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Extended...