diff --git a/README.md b/README.md
index bf87693af..6d8a41237 100644
--- a/README.md
+++ b/README.md
@@ -26,6 +26,8 @@ Deep Dive"></a>
 > Looking for Context Engineering? [Jump straight to factor 3](https://github.com/humanlayer/12-factor-agents/blob/main/content/factor-03-own-your-context-window.md)
 >
 > Want to contribute to `npx/uvx create-12-factor-agent` - check out [the discussion thread](https://github.com/humanlayer/12-factor-agents/discussions/61)
+>
+> Want a practical boilerplate to start from? See the [starter template](https://github.com/humanlayer/12-factor-agents/blob/main/content/starter-template.md)
 
 
 <img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=2acad99a-c2d9-48df-86f5-9ca8061b7bf9" />
diff --git a/content/starter-template.md b/content/starter-template.md
new file mode 100644
index 000000000..a71e9ff5c
--- /dev/null
+++ b/content/starter-template.md
@@ -0,0 +1,63 @@
+# Starter Template: Build a 12-Factor Agent
+
+This page is a practical boilerplate for starting a new 12-factor-style agent project.
+
+If you want a guided walkthrough, start with:
+- [Python workshop walkthrough](https://github.com/humanlayer/12-factor-agents/blob/main/workshops/2025-07-16/walkthrough_python_enhanced.yaml)
+
+## Suggested project layout
+
+```text
+my-agent/
+  README.md
+  pyproject.toml or package.json
+  src/
+    agent/
+      prompts/
+      tools/
+      workflow/
+      reducers/
+      context/
+      state/
+  tests/
+```
+
+## Minimal implementation checklist
+
+1. Define a small set of tool schemas (Factor 4).
+2. Put prompts in source control with tests/examples (Factor 2).
+3. Build context in code, not hidden framework magic (Factor 3).
+4. Keep control flow explicit in deterministic code (Factor 8).
+5. Persist execution + business state in one timeline (Factor 5).
+6. Treat the agent loop as a reducer over prior events (Factor 12).
+
+## Copy/paste starter loop (framework-agnostic pseudocode)
+
+```python
+events = load_events(thread_id)
+
+while True:
+    prompt = build_prompt(events)
+    tool_or_reply = llm_call(prompt, tools=tool_schemas)
+
+    if tool_or_reply.type == "final_reply":
+        events.append({"type": "assistant_reply", "text": tool_or_reply.text})
+        break
+
+    result = run_tool(tool_or_reply.name, tool_or_reply.args)
+    events.append({
+        "type": "tool_result",
+        "tool": tool_or_reply.name,
+        "args": tool_or_reply.args,
+        "result": result
+    })
+
+save_events(thread_id, events)
+```
+
+## "Done enough" criteria for v0
+
+- You can replay a thread from stored events and get the same next action.
+- All tool calls are schema-validated before execution.
+- The agent can be paused and resumed without hidden in-memory state.
+- Failures are compacted into context and retried with bounded attempts.