diff --git a/README.md b/README.md
index d6db4d067..6ea5f9dd8 100644
--- a/README.md
+++ b/README.md
@@ -17,6 +17,21 @@ curl -fsSL https://fabro.sh/install.sh | bash
---
+## Use Cases
+
+- **Extend disengagement time** — Stop babysitting an agent REPL. Define a workflow with verification gates and walk away — Arc keeps the process on track without you.
+- **Leverage ensemble intelligence** — Seamlessly combine models from different vendors. Use one model to implement, another to cross-critique, and a third to summarize — all in a single workflow.
+- **Share best practices across your team** — Collaborate on version-controlled workflows that encode your software processes as code. Review, iterate, and reuse them like any other source file.
+- **Reduce token bills** — Route cheap tasks to fast, inexpensive models and reserve frontier models for the steps that need them. CSS-like stylesheets make this a one-line change.
+- **Improve agent security** — Run agents in cloud sandboxes with full network and filesystem isolation. Keep untrusted code off your laptop and out of your production environment.
+- **Run agents 24/7** — Arc's API server queues and executes runs continuously. Close your laptop — workflows keep running and results are waiting when you return.
+- **Scale infinitely** — Move execution off your laptop and into cloud sandboxes. Run as many concurrent workflows as your infrastructure allows.
+- **Guarantee code quality** — Layer deterministic verifications — test suites, linters, type checkers, LLM-as-judge — into your workflow graph. Failures trigger fix loops automatically.
+- **Achieve compounding engineering** — Automatic retrospectives after every run feed a continuous improvement loop. Your workflows get better over time, not just your code.
+- **Specify in natural language** — Define requirements as natural-language specs and let Arc generate — and regenerate — implementations that conform to them.
+
+---
+
## Key Features
| | Feature | Description |
diff --git a/docs/getting-started/introduction.mdx b/docs/getting-started/introduction.mdx
index 9188754a6..6e9e02adc 100644
--- a/docs/getting-started/introduction.mdx
+++ b/docs/getting-started/introduction.mdx
@@ -6,6 +6,20 @@ description: "Arc is the software factory for small teams of expert engineers"
Arc replaces the prompt-wait-review loop with version-controlled workflow graphs that orchestrate AI agents, shell commands, and human decisions into repeatable, long-horizon coding processes.
+
+## Use cases
+
+- **Extend disengagement time** — Stop babysitting an agent REPL. Define a workflow with verification gates and walk away — Arc keeps the process on track without you.
+- **Leverage ensemble intelligence** — Seamlessly combine models from different vendors. Use one model to implement, another to cross-critique, and a third to summarize — all in a single workflow.
+- **Share best practices across your team** — Collaborate on version-controlled workflows that encode your software processes as code. Review, iterate, and reuse them like any other source file.
+- **Reduce token bills** — Route cheap tasks to fast, inexpensive models and reserve frontier models for the steps that need them. CSS-like stylesheets make this a one-line change.
+- **Improve agent security** — Run agents in cloud sandboxes with full network and filesystem isolation. Keep untrusted code off your laptop and out of your production environment.
+- **Run agents 24/7** — Arc's API server queues and executes runs continuously. Close your laptop — workflows keep running and results are waiting when you return.
+- **Scale infinitely** — Move execution off your laptop and into cloud sandboxes. Run as many concurrent workflows as your infrastructure allows.
+- **Guarantee code quality** — Layer deterministic verifications — test suites, linters, type checkers, LLM-as-judge — into your workflow graph. Failures trigger fix loops automatically.
+- **Achieve compounding engineering** — Automatic retrospectives after every run feed a continuous improvement loop. Your workflows get better over time, not just your code.
+- **Specify in natural language** — Define requirements as natural-language specs and let Arc generate — and regenerate — implementations that conform to them.
+