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.
They tried to sell 3.3 million acres of your land. Not Crown land. Not government land. Your land. The land where I hunt whitetail with a longbow. The land where ultralight backpackers disappear for weeks. The land that belongs to every American. And they will try again.
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.
We live in a microcosm of cozy convenience, preferring comfortable lies over disruptive truths. But the evidence keeps mounting. Recovered craft. Declassified footage. Bipartisan calls for transparency. Maybe it is time we stopped dismissing what we cannot explain.
I shot bows as a kid, then spent decades chasing tech success. This year I came back to traditional archery, learned to make my own arrows, and found a version of myself I like better. Time finally slowed back down.
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.
December 28, 2025·5 min·via Virgent AI Case Studies
Gartner predicts 40% of enterprise apps will have task-specific AI agents by 2026. Your competitors are deploying them now. Are you choosing to win or choosing to lose?
November 7, 2025·2 min·via Virgent AI Case Studies
Building intelligent multi-agent systems with WebLLM, democratic governance, and spatial coordination. A deep dive into agent orchestration platforms, custom solutions vs. walled gardens, and lessons from Magick ML.
Two out of three is not good enough. That is the challenge we face any time we combine a prompt (We Ask), a model (AI), and an objective (To Do Things).
Comprehensive AI readiness and process optimization discovery across four divisions of a publicly traded manufacturing company, leading to successful acquisition
How we delivered our signature 'We Ask AI to Do Things with Our Data' workshop series to diverse audiences, from high school students to business owners, with outstanding results
January 28, 2025·7 min·via Virgent AI Case Studies
In boardrooms across America, executives are racing to adopt artificial intelligence, often without asking the fundamental question: What business problem...
How we developed a comprehensive four-part AI lecture series for art students, introducing AI concepts safely and responsibly while providing practical learning opportunities
December 17, 2024·6 min·via Virgent AI Case Studies
A meta case study: How Virgent AI uses agents, embedded prompts, and agentic design principles on our own website to optimize inbound lead qualification and customer experience.
November 20, 2024·6 min·via Virgent AI Case Studies
You are probably already using Retrieval-Augmented Generation (RAG). As the pace of AI speeds up, it can be easy to take our upgraded capacity for granted.
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I always wanted to be an entrepreneur. I started my first venture, my first year of college. Needless to say, I learned a number of lessons in my early days,...
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Customer discovery is a powerful approach to building and refining a startup's offering. Honestly, too few business professionals utilize customer discovery. We...