Prepare your product for an agent-first world. This workflow explains how to build a Command Line Interface (CLI) that AI agents can use autonomously, even for complex flows that require human interaction like email verification.
The workflow begins when a user gives an AI agent a high-level goal that requires using your product, such as installing it on their website.
Install Intercom on my website.Develop a Command Line Interface (CLI) for your product that the agent can invoke to perform core actions like signing up or installing.
At steps requiring human interaction (e.g., email verification), program the CLI's help text or output to include a 'hint' suggesting the next action for the agent.
well, maybe you could check email...Ensure the agent has access to the necessary tools (e.g., an email API client) to act on the hint, read the required information (like a verification code), and pass it back to the CLI to complete the workflow.
Shift from writing implementation code to writing human-readable specifications. Write a detailed spec in a markdown file, and let an AI agent handle the entire process of coding, testing, and verification, using the spec as the single source of truth.
Implement bug fixes and small features rapidly by creating a detailed task in Notion and @mentioning a coding agent. The agent reads the task, writes the code, and submits a complete pull request with a live preview link, drastically reducing friction.
Save 20+ minutes daily by creating a custom Notion agent that automatically gathers updates from Slack, GitHub, and Honeycomb to generate a comprehensive standup pre-read document. This keeps your team aligned and focused on problem-solving, not reporting.
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