15 prompts

Automation AI Prompts

Every automation prompt in the library — tested, copy-ready, and tagged with the model it works best on. Free to use in personal or commercial work.

n8n + ChatGPTAutomation

Weekly Automation Digest

Automated weekly team update via n8n + Slack

Summarize this week's data into a short digest for the team. Input: {{$json.metrics}}. Output format: 3 bullet highlights, 1 conce…

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n8n + ClaudeAutomation

RSS-to-Social Repurposer

Auto-posting new articles to social channels

New RSS item: {{$json.title}} — {{$json.content}}. Turn this into: (1) one tweet under 280 characters with a link placeholder, (2)…

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ChatGPTAutomation

Critique-and-Revise Loops — ChatGPT

A loop is simply feeding a model's own output back to it (or to a second prompt) for review and improvement, repeated until a quality bar is met.

Step 1 — Draft: Write a 150-word product description for [product]. Step 2 — Critique: Now critique your own draft as a skeptical …

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ClaudeAutomation

Critique-and-Revise Loops — Claude

A loop is simply feeding a model's own output back to it (or to a second prompt) for review and improvement, repeated until a quality bar is met.

Write the function requested below. Then, in a second pass, review your own code for edge cases and bugs as if you were a strict s…

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ChatGPT / Agent toolsAutomation

The ReAct Pattern (Reason + Act)

ReAct loops interleave reasoning ("what should I do next?") with actions (calling a tool, searching, running code), then feed the result back in before reasoning again.

You have access to a "search" tool and a "calculator" tool. For the question below, reason about which tool (if any) you need, sta…

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ClaudeAutomation

For loops that run over many steps (research agents, multi-turn assistants), summarize prior steps into a short running memory instead of replaying the full history every time — this keeps context small and cheap..

Here is a running summary of research so far: [summary]. Here is the newest finding: [new info]. Update the summary to under 150 w…

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Any modelAutomation

Planner–Worker–Reviewer Teams

The most robust agent architecture is also the simplest: a Planner decomposes the goal into tasks, Workers execute one task each with narrow context, and a Reviewer checks results against acceptance criteria before anything ships.

PLANNER: Decompose this goal into 3-5 independent tasks with acceptance criteria each. Goal: [GOAL]. WORKER (per task): Complete e…

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Any modelAutomation

Loop Budgets and Failure Handling

Production loops need budgets (max iterations, max cost, max time) and explicit failure paths: what happens when the Reviewer fails a result three times? Options: escalate to a human, fall back to a simpler method, or return a partial result flagged as unverified.

Design the failure policy for this loop: [DESCRIBE LOOP]. Specify: max retries per step, what triggers human escalation, what a sa…

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Any modelAutomation

Project: Draft–Critique–Revise Content Machine

Deliverable: a working 3-role loop (writer, critic, editor) that produces a publishable piece of content on any topic you give it. Steps: 1.

CRITIC role for my loop: Score this draft 1-5 on: hook strength, specificity, structure, and CTA clarity. For any score under 4, g…

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n8n / HTTP Request nodeAutomation

Connecting an LLM to n8n

n8n connects to AI models either through dedicated nodes (OpenAI, Anthropic community nodes) or a generic HTTP Request node calling any model's API.

Method: POST. Body (JSON): { "model": "your-model", "messages": [{"role":"system","content":"You summarize support tickets in 1 se…

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ChatGPT (inside n8n)Automation

Auto Content Repurposing Pipeline

Trigger: new blog post published (RSS or webhook) -> AI node: generate a Twitter/X thread, LinkedIn post, and email blurb from the article -> Route each to the right channel.

Turn this blog post into 3 outputs: (1) a 5-tweet thread, (2) a 150-word LinkedIn post, (3) a 2-sentence email teaser with a link …

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Claude (inside n8n)Automation

AI Email Triage & Auto-Responder

Trigger: new email in inbox -> AI node classifies intent (support, sales, spam, urgent) -> conditional branches route to auto-reply, Slack alert, or human queue..

Classify this email into exactly one category: "support", "sales_lead", "spam", "urgent_escalation". Then draft a 2-sentence ackno…

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ChatGPT (inside n8n)Automation

Error Handling & Idempotency in n8n

Real automations fail: APIs time out, models return malformed JSON, webhooks fire twice.

Return ONLY valid JSON: {"category": string, "reply": string, "confidence": number 0-1}. If you cannot classify confidently, set c…

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Claude (inside n8n)Automation

Human-in-the-Loop Approval Gates

The highest-trust automations pause for approval at the moments that matter: before sending externally, before spending money, before deleting anything.

Draft the approval message for this automated action. Include: what will happen, to whom, the exact content being sent, and two op…

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Any modelAutomation