Lesson 1: Your First Machine

You get 150 emails a day. What if you could describe your triage decision once and have it happen automatically?

Build It

Here is a machine that classifies an email:

machine classify_email

implements
  ask classify, using: "anthropic:claude-haiku-4"
    with task "Is this email urgent, routine, or ignorable?\n\nSubject: ${input.subject}\nFrom: ${input.sender}"
    returns
      priority as text
      reason as text

That is the whole thing. Six lines.

machine classify_email names it.

ask classify produces an intent to call an AI model. The runtime mediates this intent (checking governance, recording the decision) before execution. using: "anthropic:claude-haiku-4" picks a fast, cheap model (good for classification).

with task is the instruction. ${input.subject} and ${input.sender} are placeholders that get filled in with the actual email when it runs.

returns says what comes back: a priority and a reason.

Run It

In Koda, type:

/run classify_email

Give it a subject like “URGENT: Server is down” from “[email protected]”.

You will see something like:

priority: "urgent"
reason: "Server outage reported by operations team, requires immediate attention"

Try a few more. “Weekly newsletter” from “[email protected]”. “Quick question about the project” from a colleague. Watch how the classification changes.

What Just Happened

You described what you wanted (classify email priority), pointed it at an AI model, and ran it. No Python. No API keys to manage. No HTTP requests to write.

Behind the scenes, mashin:

• Called the Claude API with your email data
• Parsed the structured response
• Tracked the cost ($0.0003 for this run)
• Logged every step with timing and token counts
• Created a tamper-proof audit record

You did not ask for any of that. It is built in.

What This Costs

Haiku is the cheapest model. At 150 emails per day, this machine costs about $0.05/day. Less than a dollar a month.

You will see the exact cost after every run. No surprises.

What Comes Next

This machine works, but it accepts any input and returns loose text. In the next lesson, you will add a proper contract: what goes in, what comes out, and what types those values have. That turns a prototype into something you can rely on.

Next: Inputs, Outputs, and Structure →