Site description.
About 86% of kids aged 9–17 already use AI in their schoolwork — but no one is teaching them how. Why schools should make AI literacy a mandatory course: fact-checking AI's answers, knowing when a task deserves AI at all, and using it as a challenger instead of an answer machine.
AI does not only learn from what we do — it learns from what we ask. Why conversations with AI reveal intention, not just behavior, what happens when that intent data meets commercial interests, and the boundaries society will need as our thoughts become data.
Automation is faster, repeatable, and consistent — but not every test deserves to be automated. When automation pays off, when human judgment wins, what automation really costs, and why a QA engineer's value is measured in risk reduced, not tests automated.
Can AI accomplish a goal instead of just answering a question? A plain-language look at what makes an AI agent different from a chatbot — the think-act-observe-repeat loop, the receptionist analogy, and why agents are so useful for scheduling meetings.
An AI agent can pass every test in the suite and still get the outcome wrong. Why nondeterministic output, autonomous decisions, and context break traditional QA — and how AI-assisted evaluation, supervised by humans, is becoming a core part of testing AI agents.
A recruiter's firsthand look at AI in hiring — 1,000 applications in a day, three months to a hire. How applicant tracking systems quietly screen out millions of qualified candidates, how applicants are using AI to fight back, and why word-of-mouth hiring is making a comeback.
Igniter Silicon Valley presents AI Agent Arena on Thursday, October 22, 2026 at the Oshman Family JCC in Palo Alto. Ten teams, five minutes each, live demos only — no slides. The audience votes on Best AI Agent, Most Innovative, the "Holy Sh*t" Demo, Most Commercially Valuable, Best Early-Stage Team and AI Agent of the Night. Tickets from $5.
Twenty minutes of theory, sixty minutes of building. What a room of product managers, engineers and founders actually took home from the Igniter Silicon Valley no-code agentic AI bootcamp — the agent loop, five components, three architectures built live (parallel, router, dynamic), and the guardrails and triggers that decide whether any of it ships.
Not another beginner's guide. 50 real questions practitioners asked before the Advanced Agentic AI Workshop — tokens, context windows, guardrails, evals, production deployment — each answered individually.
Notes from Yossi Feinberg's "AI and the Nature of the Firm" at the Stanford Ignite 20th reunion — the production function, the three chairs, migration cost as the size of your head start, and why every agentic system is secretly an org chart. Read through the eyes of an agentic AI founder.