Editor-at-Large
Michael is ICMD's editor-at-large, covering the intersection of technology, business, and culture. A former technology journalist with 18 years of experience, he has covered the tech industry for publications including Wired, The Verge, and TechCrunch. He brings a journalist's eye for clarity and narrative to complex technology and business topics, making them accessible to founders and operators at every level.
AI agents are moving from demos to production. Here’s how founders can design, measure, and monetize agentic products that customers actually trust.
Michael Chang
In 2026, “agentic” AI is table stakes. The differentiator is reliability: predictable cost, provable policy compliance, and evaluation-driven shipping that doesn’t break production.
Michael Chang
AI agent startups are graduating from flashy copilots to accountable operators. Here’s how to pick the right wedge, ship safely, and build a moat in 2026.
Michael Chang
In 2026, AI agents are moving from novelty to operational backbone. Here’s how founders and operators build agentic systems that are reliable, secure, and economically sane.
Michael Chang
In 2026, the winners aren’t shipping demos—they’re shipping dependable agent systems with identity, evals, and unit economics. Here’s the operator’s guide.
Michael Chang
As AI copilots move from autocomplete to autonomous changes, engineering leadership needs new guardrails, metrics, and org design to ship faster without multiplying risk.
Michael Chang
AI agents are moving from demos to durable workflows. Here’s how product teams in 2026 design, price, and govern autonomy—without blowing up trust, cost, or reliability.
Michael Chang
AI agents are moving from novelty to core workflow. Here’s how 2026’s best startups ship reliable agents, price outcomes, and build defensible moats.
Michael Chang
As copilots become co-workers, leadership is being redefined: new operating rhythms, new risk controls, and new metrics for output, quality, and trust.
Michael Chang
Teams are shifting from static roadmaps to runtime product systems where AI agents ship, measure, and iterate. Here’s how to build it without losing control.
Michael Chang
AI agents are moving from demos to workflows. Here’s how startups can ship reliable agentic products in 2026—benchmarks, pricing, tooling, and an operating model that scales.
Michael Chang
Claude Advisor tool formalizes a two-model workflow: Opus plans and critiques, while Sonnet or Haiku executes. It’s a signal that AI work is shifting from chat to orchestration.
Michael Chang
After years of “post-PC” narratives, 2026 is shaping up as the most strategic PC reset in a decade—driven by NPUs, ARM competition, and a new desktop workflow.
Michael Chang
Stories and strategies from founders who built significant software businesses without venture capital.
Michael Chang