Product strategy, user research, pricing frameworks, growth loops, onboarding optimization, and the craft of building products people genuinely need.
35 articles
In 2026, “add an agent” is table stakes. The winners design agent experiences that are measurable, safe, and cost-disciplined—like any other core product.
James Okonkwo
Agentic features are moving from demos to defaults. Here’s how top product teams design, price, instrument, and govern AI “coworkers” in production.
James Okonkwo
Agent features are easy to demo and hard to operate. Here’s how product teams can build reliable, governable agentic workflows that actually move core metrics.
David Kim
In 2026, the winners won’t be the most “AI-enabled”—they’ll be the most auditable. A practical blueprint to ship agents that cut costs without creating risk.
Elena Rostova
In 2026, the winners won’t ship “AI features”—they’ll ship auditable agent workflows with clear unit economics. Here’s how product teams are doing it.
Priya Sharma
In 2026, “add AI” isn’t a product strategy. Here’s how leading teams design agentic workflows with predictable cost, measurable quality, and shippable safety.
Alex Dev
In 2026, “AI features” are table stakes. The winners are building AI-native product operating systems—instrumented, policy-driven, and measurable.
Tariq Hasan
In 2026, the winners won’t be the apps with the best prompts—they’ll be the products that safely own workflows end-to-end. Here’s how to build agentic AI customers trust.
Priya Sharma
Agentic features are moving from demos to durable product surfaces. Here’s how leading teams ship trustworthy automation—with margins, metrics, and guardrails.
Tariq Hasan
In 2026, “AI in the product” is table stakes. The winners are shipping agentic UX—delegation with guardrails, auditability, and measurable ROI.
James Okonkwo
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
In 2026, users expect software to execute, not just advise. Here’s how leading teams design AI agents that are reliable, safe, and measurably profitable.
Priya Sharma
In 2026, products aren’t adding “AI features”—they’re hiring agents. Here’s the practical stack, metrics, and playbook to ship reliable AI coworkers at scale.
Sarah Chen