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Standardize the Interface
Use a ticketing system like Linear as the control plane for your agents. When you move a ticket to a specific status, a background scheduler spins up an isolated workspace for the agent. This replaces the messy context switching of managing multiple browser tabs or IDE windows.
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Version Control Your Prompts
Keep agent instructions in a file called workflow.md inside your repository. Use YAML front matter for technical settings and Markdown for the standard operating procedures. This ensures your agent logic evolves alongside your codebase and passes through the same review process.
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Enforce Self-Verification
Require agents to provide proof of completion through automated tools. Using Playwright to record a video of a browser session allows the agent to show, not just tell, that a feature works. You can then review the video directly in the ticket tracker to confirm the result.
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Engineer the Agent Environment
Build a harness that includes bootstrapping scripts and indexed documentation. If an agent has to spend context window tokens figuring out how to start your server or find the API docs, it will fail more often. Predefined skills for logging and local setup make work atomic and reliable.
Why it matters
Small teams cannot afford to babysit AI as it works. By shifting the focus to ticket outcomes, you can direct multiple agents across different features while maintaining a single, durable source of truth for your project progress.