diff --git a/README.md b/README.md
index 64942c615..c1e84a053 100644
--- a/README.md
+++ b/README.md
@@ -41,27 +41,24 @@ runtime:
 python -m pip install --upgrade openadapt
 ```
 
-Run the bundled synthetic workflow. It needs no account, target application,
-API key, or operating-system automation permissions:
+Run the complete bundled tutorial with one command. It needs no account,
+target application, API key, or operating-system automation permissions:
 
 ```bash
-openadapt flow demo-record --out rec
-openadapt flow compile rec --out bundle --name mockmed-triage
-openadapt flow certify bundle --policy permissive
-openadapt flow replay bundle --run-dir run
+openadapt quickstart
 ```
 
 You now have:
 
-- `rec/`: the demonstrated interaction and retained target evidence
-- `bundle/`: the inspectable compiled workflow
-- `run/REPORT.md`: the ordered actions, evidence, outcome, and any halt reason
+- `openadapt-quickstart/recording/`: the demonstrated interaction and retained target evidence
+- `openadapt-quickstart/bundle/`: the inspectable compiled workflow
+- `openadapt-quickstart/run/REPORT.md`: the ordered actions, evidence, outcome, and any halt reason
 
 Inspect the program and its deployment gaps:
 
 ```bash
-openadapt flow visualize bundle --out graph.html
-openadapt flow lint bundle
+openadapt flow visualize openadapt-quickstart/bundle --out graph.html
+openadapt flow lint openadapt-quickstart/bundle
 ```
 
 The bundled workflow is a tutorial, not a production certification. Qualifying
diff --git a/openadapt/cli.py b/openadapt/cli.py
index 2de09a4a0..c3b24b5f0 100644
--- a/openadapt/cli.py
+++ b/openadapt/cli.py
@@ -25,7 +25,9 @@
     openadapt doctor
 """
 
+import os
 import sys
+from pathlib import Path
 from typing import Optional
 
 import click
@@ -133,6 +135,19 @@ def main():
 # =============================================================================
 
 
+def _invoke_flow(argv: list[str]) -> int:
+    """Invoke the canonical engine once and return its exit code."""
+    try:
+        from openadapt_flow.__main__ import main as flow_main
+    except ImportError:
+        click.echo("Error: openadapt-flow not installed.", err=True)
+        click.echo("Reinstall with: pip install --upgrade openadapt", err=True)
+        click.echo("Engine only: pip install openadapt-flow", err=True)
+        return 1
+
+    return int(flow_main(argv))
+
+
 def _run_flow(argv: list[str]) -> None:
     """Delegate to the openadapt-flow CLI, preserving its exit code.
 
@@ -142,15 +157,95 @@ def _run_flow(argv: list[str]) -> None:
     Imported lazily so ``openadapt`` (and ``openadapt flow --help``) work
     even when openadapt-flow isn't installed.
     """
-    try:
-        from openadapt_flow.__main__ import main as flow_main
-    except ImportError:
-        click.echo("Error: openadapt-flow not installed.", err=True)
-        click.echo("Reinstall with: pip install --upgrade openadapt", err=True)
-        click.echo("Engine only: pip install openadapt-flow", err=True)
-        sys.exit(1)
+    sys.exit(_invoke_flow(argv))
+
+
+@main.command("quickstart")
+@click.option(
+    "--out",
+    type=click.Path(path_type=Path),
+    default=Path("openadapt-quickstart"),
+    show_default=True,
+    help="New directory for the recording, bundle, and run report.",
+)
+@click.option(
+    "--headed", is_flag=True, help="Show the browser while the tutorial runs."
+)
+def quickstart(out: Path, headed: bool) -> None:
+    """Run the complete local tutorial: record, compile, check, and replay.
+
+    This is the shortest path to a real OpenAdapt run. It uses the bundled
+    synthetic tutorial, keeps every artifact on this computer, and enables no
+    model or Cloud call. The output directory is never overwritten.
+    """
+    root = out.expanduser().resolve()
+    if root.exists():
+        raise click.UsageError(
+            f"Output already exists: {root}. Pass --out with a new directory."
+        )
+
+    recording = root / "recording"
+    bundle = root / "bundle"
+    run_dir = root / "run"
+    steps = [
+        ("Record the tutorial", ["demo-record", "--out", str(recording)]),
+        (
+            "Compile the recording",
+            [
+                "compile",
+                str(recording),
+                "--out",
+                str(bundle),
+                "--name",
+                "local-quickstart",
+            ],
+        ),
+        (
+            "Certify the tutorial",
+            ["certify", str(bundle), "--policy", "permissive"],
+        ),
+        (
+            "Replay locally",
+            ["replay", str(bundle), "--run-dir", str(run_dir)],
+        ),
+    ]
+    if headed:
+        steps[0][1].append("--headed")
+        steps[-1][1].append("--headed")
+
+    for index, (label, argv) in enumerate(steps, start=1):
+        click.echo(f"\n[{index}/{len(steps)}] {label}")
+        # The bundled tutorial contains synthetic identity-like strings. Keep
+        # the ordinary report warning meaningful for real workflows by making
+        # this one known-safe fixture explicit, then restore the operator's
+        # environment immediately after replay.
+        scrub = os.environ.get("OPENADAPT_FLOW_SCRUB")
+        if argv[0] == "replay" and scrub in (None, "auto"):
+            os.environ["OPENADAPT_FLOW_SCRUB"] = "off"
+        try:
+            code = _invoke_flow(argv)
+        finally:
+            if argv[0] == "replay" and scrub in (None, "auto"):
+                if scrub is None:
+                    os.environ.pop("OPENADAPT_FLOW_SCRUB", None)
+                else:
+                    os.environ["OPENADAPT_FLOW_SCRUB"] = scrub
+        if code:
+            raise click.ClickException(
+                f"{label} stopped with exit code {code}. "
+                f"Any completed artifacts remain in {root}."
+            )
 
-    sys.exit(flow_main(argv))
+    click.echo("\nLocal quickstart complete.")
+    click.echo(f"Bundle: {bundle}")
+    click.echo(f"Run evidence: {run_dir}")
+    click.echo("No model or Cloud call was enabled.")
+    click.echo(f"Inspect qualification gaps: openadapt flow lint {bundle}")
+    click.echo(
+        "Connect this computer when you want Cloud history and collaboration: "
+        "https://app.openadapt.ai/dashboard/settings/ingest"
+    )
+    click.echo("Qualify a consequential workflow: https://openadapt.ai/qualify")
 
 
 @main.group(cls=_FlowPassthroughGroup)
diff --git a/platform-manifest.json b/platform-manifest.json
index e282aa8e8..296126985 100644
--- a/platform-manifest.json
+++ b/platform-manifest.json
@@ -1,7 +1,7 @@
 {
   "manifest_kind": "openadapt-platform-release-manifest",
   "schema_version": "1.0.0",
-  "generated_at": "2026-07-26T20:55:04+00:00",
+  "generated_at": "2026-07-26T23:49:48+00:00",
   "release_channel": "beta",
   "components": {
     "launcher": {
@@ -46,21 +46,21 @@
     },
     "capture": {
       "package": "openadapt-capture",
-      "version": "1.1.1",
+      "version": "1.2.0",
       "source": "pypi",
       "requires_python": ">=3.10",
       "artifacts": [
         {
           "type": "bdist_wheel",
-          "filename": "openadapt_capture-1.1.1-py3-none-any.whl",
-          "url": "https://files.pythonhosted.org/packages/3b/66/f6ea4cb9a5e9515370e59574c7caf8f827807af877d251db17047010c871/openadapt_capture-1.1.1-py3-none-any.whl",
-          "sha256": "76f6fdc9bd81dd3a72445fd8ebd918654a732765d5aae848d5f56dc62d1bf97d"
+          "filename": "openadapt_capture-1.2.0-py3-none-any.whl",
+          "url": "https://files.pythonhosted.org/packages/ee/4c/6b5c0ab21b7300c03d22d8096b85e279def7ff7552b207ff4239e1af3108/openadapt_capture-1.2.0-py3-none-any.whl",
+          "sha256": "da3b2ef52b3eb24c0a565ec4c6f0eda1dcebf30be78a48b704a28d3e1316f053"
         },
         {
           "type": "sdist",
-          "filename": "openadapt_capture-1.1.1.tar.gz",
-          "url": "https://files.pythonhosted.org/packages/6f/65/11c5c49eeee83b10595c87269f83d1d1dbc6f4e2e04f51885441d064e295/openadapt_capture-1.1.1.tar.gz",
-          "sha256": "7022d41b37f3a8fbf30f5e89df2373d3bfacc0e13ab8c9b6c1770f76126fbd6b"
+          "filename": "openadapt_capture-1.2.0.tar.gz",
+          "url": "https://files.pythonhosted.org/packages/fe/98/ea22edf242430b9a15689d22c8608852db49265a356f603ec3d5bdd64595/openadapt_capture-1.2.0.tar.gz",
+          "sha256": "5eb5f7df329e58a15df27caba4cd3b76cf1d5779515c4c0f0cdd439631736390"
         }
       ]
     },
diff --git a/tests/test_cli_smoke.py b/tests/test_cli_smoke.py
index 5f1b46370..486732ffb 100644
--- a/tests/test_cli_smoke.py
+++ b/tests/test_cli_smoke.py
@@ -75,6 +75,43 @@ def test_version_command():
     assert result.exit_code == 0
 
 
+def test_quickstart_runs_one_local_lifecycle_without_overwriting(monkeypatch):
+    calls = []
+    monkeypatch.setattr(
+        "openadapt.cli._invoke_flow",
+        lambda argv: calls.append(list(argv)) or 0,
+    )
+
+    runner = CliRunner()
+    with runner.isolated_filesystem():
+        result = runner.invoke(cli_main, ["quickstart", "--out", "first-run"])
+        assert result.exit_code == 0, result.output
+
+    assert [call[0] for call in calls] == [
+        "demo-record",
+        "compile",
+        "certify",
+        "replay",
+    ]
+    assert calls[2][-1] == "permissive"
+    assert "No model or Cloud call was enabled" in result.output
+
+
+def test_quickstart_refuses_an_existing_output(monkeypatch):
+    monkeypatch.setattr(
+        "openadapt.cli._invoke_flow",
+        lambda _argv: pytest.fail("engine must not run before output refusal"),
+    )
+
+    runner = CliRunner()
+    with runner.isolated_filesystem():
+        Path("existing").mkdir()
+        result = runner.invoke(cli_main, ["quickstart", "--out", "existing"])
+
+    assert result.exit_code != 0
+    assert "Output already exists" in result.output
+
+
 def test_version_flag_matches_installed_metadata():
     """`openadapt --version` must print the real installed distribution
     version (importlib.metadata), never a hardcoded string that can drift