diff --git a/content/articles/2026-04-06-ai-native-team.md b/content/articles/2026-04-06-ai-native-team.md
new file mode 100644
index 0000000..d744e27
--- /dev/null
+++ b/content/articles/2026-04-06-ai-native-team.md
@@ -0,0 +1,80 @@
+---
+title: "The AI-Native Team: From Solo Pilots to Command Fleets"
+date: 2026-04-06
+coverImage:
+  author: Curated Lifestyle
+  authorUrl: https://unsplash.com/@curatedlifestyle
+  url: "https://images.unsplash.com/photo-1522071820081-009f0129c71c?q=80&w=1287&h=600&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D"
+---
+
+Moving from using AI as a personal "secret weapon" to integrating it as a core team asset is the most significant workflow shift since the adoption of Git. It's the transition from being a solo pilot to commanding a fleet.
+
+Here is how to structure your team's transition to an AI-native development cycle, utilizing the latest 2026 frontier models and automation-first strategies.
+
+---
+
+## 1. The Strategy: Multi-Model Tiering (The Agent Orchestra)
+
+In 2026, the most efficient teams don't use one model for everything. They use an **Orchestrator-Worker** pattern. This "Agent Orchestra" balances high-level reasoning with lightning-fast execution.
+
+### The 2026 Model Stack
+
+- **The Architect (Frontier Reasoning):** Models like **GPT-5.4 Pro** or **Claude 4.6 Opus** handle the "thinking." They analyze system architecture, plan multi-file refactors, and verify logic.
+- **The Workers (High-Velocity Execution):** Models like **Gemini 3.1 Flash** or **GPT-5.4 Standard** handle the "doing." They generate boilerplate, write unit tests, and handle routine styling.
+
+### The Cost-Reduction Edge
+
+By tiering models, teams slash API costs by **60–80%**. Instead of paying "Pro" prices for a simple CSS fix, your orchestrator delegates the grunt work to a "Flash" sub-agent. You only pay for high-tier reasoning when the complexity actually demands it.
+
+---
+
+## 2. From Prompts to Commands: Automating the Mundane
+
+The biggest mistake teams make is relying on "Shared Prompts." Prompts are inconsistent and prone to human error. Modern teams use **Commands**—the automation of repetitive tasks into repeatable, scripted actions.
+
+A command is an AI-powered macro that combines a specific model, a set of context rules, and a defined output.
+
+- **`/boilerplate-feature [name]`:** Instead of a prompt, this command triggers a sub-agent to create the directory, the component, the test file, and the Storybook entry, all following your team's exact specs.
+- **`/logic-audit`:** A command that runs a reasoning model (like Claude 4.6) over a PR to find edge cases, rather than just "reviewing" it.
+- **`/doc-sync`:** Automatically updates the `README.md` and internal Notion docs whenever a specific API folder changes.
+
+---
+
+## 3. Shared Skill Files: The Team's Collective Brain
+
+To make commands work, the AI needs to know *how* your team builds. This is where **Shared Skill Files** (e.g., `.cursorrules`, `.ai-skills`, or `.clinerules`) come in.
+
+These files are committed to your repository and act as the "instruction manual" for every AI agent that touches your code.
+
+### Benefits of Shared Skill Files:
+
+- **Governance at Scale:** "Always use TypeScript 5.4 features," or "Never use barrel imports." The AI learns these rules once and applies them to every command.
+- **Instant Onboarding:** A new hire doesn't need to learn your naming conventions through trial and error; the AI agents—guided by the skill files—enforce them automatically.
+- **Consistency as a Service:** The code stops looking like it was written by five different people and starts looking like it was written by one highly disciplined entity.
+
+---
+
+## 4. Workflow Evolution: The "Commander" Role
+
+The daily grind for a developer changes from "writing lines" to **orchestrating intent.**
+
+### The New Dev Loop:
+
+1.  **Plan:** Use an Architect model to map out a feature.
+2.  **Execute:** Run a custom **Command** (e.g., `/scaffold-api`) to spawn sub-agents.
+3.  **Review:** Use a secondary Reviewer agent to verify the Flash-model's output against your Skill Files.
+4.  **Final Polish:** The human dev handles the high-level edge cases and final integration.
+
+### Parallel Execution
+
+Because sub-agents are cheap and fast, a lead developer can manage three streams of work simultaneously: one agent refactoring the database layer, one building the UI, and one generating the integration suite.
+
+---
+
+## 5. Conclusion: The Competitive Advantage
+
+Moving to a team-based AI workflow isn't just about typing faster. It's about building a **predictable software factory.** By replacing flaky prompts with **automated commands** and leveraging **multi-model tiering**, you reduce costs, eliminate "review fatigue," and ship features at a velocity that solo AI usage simply cannot match.
+
+Is your team currently stuck in the "copy-paste prompt" phase, or have you started committing AI automation directly to your repo?
+
+How has the shift to specialized sub-agents changed your team's perspective on the role of a "Senior" developer?