Free prompt library

Make repeat tasks cost zero.

Use this prompt to find work that does not need a model every time, then turn the normal path into a validated command, rule or API route.

Important: using the prompt costs tokens. The finished route reaches zero model tokens only when it runs without calling a model.
01

Spot the repeat

Find a task with the same trigger, inputs, output and rules most of the time.

02

Build the route

Ask for a validation checklist and a command, webhook or API contract. Keep the model out of that normal path.

03

Prove it

Measure model calls and token usage on a fresh test. Zero means zero calls, not merely a cheaper model.

Copy and paste

Prompt 01: turn a repeat task into a zero-token route

Paste this into the AI tool you use to plan or build automation. Replace the bracketed fields. It should tell you when zero tokens are realistic, and when they are not.

Zero-token route planner
Act as an automation architect. I want to reduce the normal path of this recurring task to zero MODEL tokens:

TASK: [describe the task]
TRIGGER: [what starts it]
KNOWN INPUTS: [files, fields, event data, approved options]
EXPECTED OUTPUT: [what success looks like]
CURRENT TOOLS: [apps, APIs, printer, cloud storage, etc.]
EXCEPTIONS: [what can be unclear, missing, risky or require judgement]

First, be honest: say whether a zero-model-token normal path is feasible. A model can be removed only if the normal path has known, validated inputs and a predictable outcome.

Then give me:
1. A GO / NO-GO decision with the exact reason.
2. The deterministic route: command, webhook, scheduled rule or API contract.
3. Input validation rules and safe failure messages.
4. Pseudocode or implementation steps for my stack.
5. An exception path: exactly when to call a human or an AI model instead.
6. A test plan that proves zero model usage on the normal path, including the metric to record: model calls, input tokens and output tokens must all equal zero.
7. Security and permission risks I must check before I automate it.

Do not claim this is zero-token merely because the model is cheaper, cached or used less. The normal path is zero-token only if it makes no model call.

Example: “When a PDF arrives in this approved folder, validate it, print it double-sided to this printer, and report the job ID. If the file is not a PDF or the printer is offline, stop and ask a human.” The AI can help design that route once. The route itself should then run as software.

Before you automate

What belongs in the zero-token lane?

The prompt is most useful when the normal case is boring. That is a feature, not a limitation.

Good candidates

  • Print a validated file with preset options
  • Move or rename a file using a known rule
  • Check a service health endpoint and alert on failure
  • Create a report from fixed fields and a template
  • Retry a documented API failure once

Keep AI in the loop

  • The request is vague or changes every time
  • The output needs original writing, judgement or research
  • The action has legal, clinical, financial or safety consequences
  • The system sees data it cannot validate confidently
  • An exception needs a human decision

Want help mapping the whole workflow?

Ranklore’s AI Workflow Audit finds the repetitive work worth automating, the risky work that needs approval, and the places where an expensive AI loop should become a small piece of software.

Explore the audit