The 2026 Product Playbook for AI-Native Apps: Designing for Agents, Not Screens
AI features are no longer differentiators. In 2026, the winners ship agent-ready products with measurable autonomy, hard budgets, and enterprise-grade controls.
Product strategy, user research, pricing frameworks, growth loops, onboarding optimization, and the craft of building products people genuinely need.
21 articles
AI features are no longer differentiators. In 2026, the winners ship agent-ready products with measurable autonomy, hard budgets, and enterprise-grade controls.
Agents are leaving the demo stage. Here’s how modern product teams design, price, and operate AI-native workflows that ship outcomes—not prompts.
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.
In 2026, “agentic” products win by shipping guardrails, evaluations, and ROI instrumentation—not demos. Here’s how top teams build AI that actually does work.
As brands drown in content demand, Luma Agents bets that the next creative tool isn’t a template library—it’s an agent with full project memory and taste.
Agentic QA is turning test plans into living systems. Here’s how product teams in 2026 ship faster without drowning in flaky automation, policy risk, or regressions.
AI agents are moving beyond chat: they’re researching markets, drafting PRDs, and acting as copilots across the product lifecycle—with measurable gains and new governance risks.
The complete guide to PLG strategy in 2026, from activation metrics and freemium design to viral loops and expansion revenue.