Michael Chang

AI copilots didn’t just speed up coding—they changed the failure modes. In 2026, leadership means treating software like a safety-critical system, even if you’re “just” shipping SaaS.

Michael Chang

8 min read

Users don’t want more AI buttons. They want a different product state. Treat AI as a mode with explicit boundaries—or you’ll ship confusion, cost spikes, and trust debt.

Michael Chang

7 min read

AI didn’t kill product thinking. It moved it upstream. The new leadership bottleneck is the spec, not the code.

Michael Chang

8 min read

Agents don’t fail like chatbots—they fail like engineers with credentials. This is the 2026 stack that keeps tool use auditable, budgets bounded, and incidents explainable.

Michael Chang

10 min read

AI doesn’t just speed up work—it multiplies decisions and failure modes. Here’s how leaders are reshaping accountability, eval discipline, and metrics so teams can move fast without chaos.

Michael Chang

10 min read

Agents don’t fail because prompts are weak. They fail because pricing, permissions, and proof weren’t designed for production.

Michael Chang

9 min read

If agents can ship code, reply to customers, or move money, “trust” is a policy decision. Run agents like production systems—or accept production-grade failures.

Michael Chang

9 min read

Most agent startups don’t lose to hallucinations—they lose to permissions, audit trails, and unit economics. Build bounded autonomy that survives real systems and real buyers.

Michael Chang

10 min read

Agents fail in three boring ways: they overspend, they break policy, or they quietly get worse. The fix is an SRE-style stack: budgets, policy-as-code, eval gates, and replayable traces.

Michael Chang

9 min read

Buyers stopped asking which model you use. They ask what breaks, how you roll back, and what gets logged. This is the 2026 playbook for shipping agents that survive production.

Michael Chang

10 min read

If your “agent” can’t be replayed, scoped, and priced, it’s not a product. Here’s the 2026 enterprise standard: routing, contracts, SLOs, and audit trails.

Michael Chang

9 min read

Procurement stopped buying agent demos. If your system can’t show identity, traces, evals, and cost per outcome, you’re not selling software—you’re selling hope.

Michael Chang

11 min read

AI can flood your repo with “done-looking” code. The winning CTOs treat verification, provenance, and rollback as the real product—and measure that, not PR volume.

Michael Chang

9 min read

The agent products that win aren’t the smartest—they’re the easiest to control. Design autonomy like payments: scoped permissions, proofs, observability, and spend limits.

Michael Chang

10 min read

Most “agent” products still die in production for the same reason: nobody can explain, limit, or debug the actions. Here’s what serious teams build instead.

Michael Chang

9 min read

Agents can crank out PRs nonstop. Leadership’s job is to stop “more output” from turning into more incidents, more cost, and less trust.

Michael Chang

10 min read

Static roadmaps can’t keep up with AI-generated change. The new job is running a controlled runtime loop: flags, metrics, evals, and policies that stop dumb optimizations fast.

Michael Chang

8 min read

Agents aren’t a chat UX anymore. If you can’t measure cost per task, control permissions, and ship audit trails, you’re shipping a demo—not a product.

Michael Chang

9 min read

One smart model improvising and coding in the same breath is expensive. Claude Advisor puts planning in Opus and execution in Sonnet/Haiku—then makes the handoff visible.

Michael Chang

7 min read

Stop reading “PC rebound” headlines. 2026 is a platform reset: Windows 10’s deadline collides with on-device AI and real ARM laptops that finally fit enterprise work.

Michael Chang

10 min read

VC can buy speed. Bootstrapping buys discipline—and forces choices on pricing, focus, and distribution that many founders avoid until it’s too late.

Michael Chang

4 min read