> ## Documentation Index > Fetch the complete documentation index at: https://synthlabs.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Run your first task > Start with a complete example, or run a task and agent you already have. Run your first agent on a single task. The [complete example](/tutorials/first-review) supplies the task, agent profile, environment and assessment, along with a recorded result you can inspect before running it yourself. The tutorial uses code review as an example. You can use the same task, profile and assessment structure for other kinds of work. ## Use existing inputs Already have a task and compatible agent? Follow the path below. One execution does not establish that the agent is good at your broader workload. ## Before you start [Create a Synth account](https://app.synthlabs.ai), [install the CLI](/getting-started/install) and [sign in](/getting-started/authentication). ## Choose a task and agent Find tasks and agent profiles available to your account: ```bash theme={null} synth task list synth agent list ``` Choose a small task with a verifier and an actor profile appropriate for its work. If you are starting from scratch, use the [supplied example](/tutorials/first-review), or create your own [task](/concepts/tasks-and-versions) and [agent profile](/concepts/profiles-and-candidates). Replace the placeholders below with your resource references. Replace `` with the selected task reference and `` with the selected `agent://` reference: ```bash theme={null} synth task show synth agent show ``` Keep the exact version references returned by these lookups for the launch below. Read the task's instructions and required output, and check the profile's model and execution recipe. Listing or resolving a profile does not prove that it is compatible with every task or that its model is available to your account. ## Inspect, then launch one trial ```bash theme={null} synth run start --task --actor --dry-run ``` Check that the request selects your exact task and profile. The dry run does not execute the agent or prove the task will succeed. Remove `--dry-run` when you intend to start one real managed trial: ```bash theme={null} synth run start --task --actor ``` The default is one trial with the task's verifier. This submission uses compute. Submit once and save the returned run ID. If the response is uncertain, inspect the existing run before retrying. ## Read the result ```bash theme={null} synth run show synth run events --follow --timeout 10m ``` If the watch ends while the run is still active, inspect `synth run show ` again; ending the local watch does not cancel the run. After it reaches a terminal state: ```bash theme={null} synth run result synth run trials synth run export --output ./-evidence ``` Export after the run is terminal, into a new directory, replacing both occurrences of `` with the same ID. Check the manifest and inspect the agent's work and verifier result in the retained artifacts. A nonzero process exit or missing output is not the same as an assessed incorrect answer. If execution fails or stops progressing, use the [troubleshooting guide](/operations/troubleshooting) before submitting another run. You have completed the path when you can identify the selected task and agent, explain the terminal outcome and locate the evidence. A poor score is still a result to investigate, not a reason to claim execution failed. ## Take the next useful step * [Understand assessment](/guides/judging), including its limits. * [Bring your own task](/concepts/tasks-and-versions). * [Repeat and compare](/guides/evaluate-and-compare) before choosing an improvement. * [Train and test a checkpoint](/guides/managed-training) once the task and scoring are useful. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.