How to Teach Your AI Agent What to Order You for Dinner

Decide tonight's dinner

Workflow

Hand off the weeknight dinner decision by building a standing brief of what you eat, avoid, and have on hand, then letting your agent make the call.

A Cookbook recipe run as a workflow. It hands the weeknight dinner decision to an agent that knows tonight's specifics, instead of leaving it to a 7pm brain that has already spent its judgment.

  • Starts with a standing dinner brief: your usual goal, your constraints and dislikes, your bedtime, and your fallbacks for a hard training day or a bad night's sleep.
  • Adds the three facts that change daily: last night's sleep, whether you trained, and what you have eaten so far.
  • Connected to Fulcra, your agent reads those signals itself instead of waiting for you to report them, so the context assembles without the nightly data entry.
  • Closes the loop with a two-week alternation: some nights the agent picks, some nights you do, judged on one metric you already capture.

Connect your agent first at fulcradynamics.com/connect/claude or fulcradynamics.com/connect/chatgpt, or point any MCP-capable agent at https://mcp.fulcradynamics.com. Then open the recipe and paste the prompt at the end of it.

Paste this to your agent

Help me hand off the weeknight dinner decision. Start now, with no setup: ask me what I'm optimizing for tonight, anything I avoid, and when I'll eat, then make the call. For the version that gets better over time, read https://docs.fulcradynamics.com/agent-get-started.txt and connect to Fulcra, so you can read my sleep and training instead of asking.

View the sourceAll skills and workflows