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.
Leverage Claude Opus 5's powerful but verbose nature to create detailed front-end prototypes. This workflow focuses on asynchronous generation and blunt feedback to get high-quality outputs without getting bogged down in frustrating chat interactions.
Uncover the underlying personality and tuning of different AI models like Claude and GPT by asking a simple, three-part set of interview questions. This helps you choose the right model for your task based on its tone and directness.
Use an AI desktop app to automatically sort through your LinkedIn messages, draft replies to simple notes, and flag important conversations for your personal attention.
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