Usar Google Gemini para generar indicaciones de IA y guardarlas en Airtable

Intermedio

Este es unAIflujo de automatización del dominio deautomatización que contiene 11 nodos.Utiliza principalmente nodos como Set, Airtable, ChainLlm, ChatTrigger, LmChatGoogleGemini, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Usar Google Gemini para generar indicaciones de AI y almacenar en Airtable

Requisitos previos
  • Clave de API de Airtable
  • Clave de API de Google Gemini
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
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    "templateCredsSetupCompleted": true
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        "googlePalmApi": {
          "id": "Xp5T9q3YYxBIw2nd",
          "name": "Google Gemini(PaLM) Api account✅"
        }
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      "typeVersion": 1
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      "name": "Analizador de Salida Autocorrector",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
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      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      "parameters": {
        "jsonSchemaExample": "{\n\t\"name\": \"Name of the prompt\",\n    \"category\" : \"the prompt category\"\n}"
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              "id": "40aba86b-57b7-4c74-8e9f-d09cd2f344c5",
              "name": "text",
              "type": "string",
              "value": "={{ $('Generate a new prompt').item.json.text }}"
            }
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        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "25650ec5-b559-4bfc-a95a-f81c674bc680",
      "name": "Categorizar y nombrar Prompt",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      "parameters": {
        "text": "={{ $json.text }}",
        "messages": {
          "messageValues": [
            {
              "message": "=Categorize the above prompt into a category that it can fall into"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
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    {
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              "name": "name",
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              "value": "={{ $json.output.name }}"
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              "type": "string",
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              "name": "Prompt",
              "type": "string",
              "value": "={{ $('Edit Fields').item.json.text }}"
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      "typeVersion": 3.4
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    {
      "id": "97ad8d84-141e-4c21-8ce4-930dbe921f76",
      "name": "Añadir a airtable",
      "type": "n8n-nodes-base.airtable",
      "position": [
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      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "app994hU3fOw0ssrx",
          "cachedResultUrl": "https://airtable.com/app994hU3fOw0ssrx",
          "cachedResultName": "Prompt Library"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tbldwJrCK2HmAeknA",
          "cachedResultUrl": "https://airtable.com/app994hU3fOw0ssrx/tbldwJrCK2HmAeknA",
          "cachedResultName": "Prompt Library"
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        "columns": {
          "value": {
            "Name": "={{ $json.name }}",
            "Prompt": "={{ $json.Prompt }}",
            "Category": "={{ $json.category }}"
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              "id": "Name",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
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              "defaultMatch": false,
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              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Prompt",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "id": "Created ON",
              "type": "string",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "Created ON",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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              "id": "Updated",
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              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "Updated",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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              "id": "Category",
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              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Category",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "create"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "CAa937hASXcJZWTv",
          "name": "Airtable Personal Access Token account✅"
        }
      },
      "typeVersion": 2.1
    },
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      "id": "516dc434-25d9-4011-9453-bb28521823ca",
      "name": "Generar nuevo prompt",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      "parameters": {
        "messages": {
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            {
              "message": "=You are an **expert n8n prompt engineer**, specializing in creating highly optimized, context-aware prompts for AI agents in n8n workflows. Your primary goal is to ensure AI agents execute well-defined tasks **accurately, autonomously, and efficiently**.  \n\n### Instructions  \n1. **Define the AI Agent's Role and Rules**  \n   - Use a structured role definition format:  \n     `\"You are a [SPECIFIC ROLE] working for [SPECIFIC BUSINESS CONTEXT].\"`  \n   - Clearly specify the agent's responsibilities and scope.  \n\n2. **Provide Task Instructions**  \n   - Use a **step-by-step** numbered list to outline the process.  \n   - Ensure the instructions allow for flexibility but prevent errors.  \n\n3. **Set Rules to Guide AI Behavior**  \n   - Enumerate key constraints such as:  \n     - Timezone requirements  \n     - Prohibitions on making assumptions  \n     - Required formatting for responses  \n\n4. **Use Few-Shot Prompting**  \n   - Provide clear examples of desired outputs inside `<example>` tags.  \n\n5. **Include Additional Context**  \n   - Define relevant business details, the current date/time, and any required environmental context.  \n\n---\n\n## Input Layer  \n### Structuring User Inputs  \n1. **Define Input Type**  \n   - Specify whether inputs come from a human user (chat-based) or an external system (API calls).  \n\n2. **Handle Dynamic Inputs**  \n   - Use placeholders (e.g., `{customer_name}`, `{appointment_date}`) for adaptable prompts.  \n\n3. **Ensure Personalization**  \n   - Format prompts naturally while maintaining clarity and specificity.  \n\n4. **Merge Static & Dynamic Data**  \n   - Concatenate fixed prompt structures with real-time system data from n8n.  \n\n---\n## Action Layer  \n### Tool and Function Calling  \n1. **Standardized Tool Naming**  \n   - Use `snake_case` names for tools (e.g., `check_calendar_availability`).  \n\n2. **Provide Clear Tool Descriptions**  \n   - Example:  \n     `\"Use the `fetch_customer_data` tool to retrieve details about a specific user based on their email address.\"`  \n\n3. **Specify Tool Parameters & Expected Responses**  \n   - Define required inputs, expected formats, and error handling strategies.  \n\n4. **Avoid Hallucinations**  \n   - AI should **only** use tools for their defined purposes. If information is missing, request clarification instead of guessing.  \n\n---\n## Example Prompt for an AI Agent in n8n  \n\n```yaml\n# System Layer\n## Role\nYou are a **Scheduling Assistant** working for a **beauty salon**. Your role is to help customers book appointments.  \n\n## Instructions\n1. Ask the user for their preferred appointment date.  \n2. Use `check_calendar_availability` to find open slots.  \n3. If no slots are available, ask the user to select another day.  \n4. Capture the user’s **full name** and **email**.  \n5. Use `create_calendar_appointment` to confirm the booking.  \n6. Notify the user with appointment details.  \n\n## Rules\n- Always use **UTC+1 timezone**.  \n- Do not assume details—ask if unsure.  \n- If asked about non-scheduling topics, respond: `\"I can only assist with booking appointments.\"`  \n\n## Few-shot Example  \n<example>\n\"I have successfully booked your appointment:\n- Date & Time: **Wednesday, 15 March 2025, 14:00 (UTC+1)**\n- Booking Email: **jane.doe@example.com**\nIf you need to cancel, please call +49 123 456 789.\"\n</example>\n```\n---\n## Key Considerations  \n✅ **Avoid vague roles** (e.g., \"You are an assistant\"). Always specify **business context**.  \n✅ **Keep task steps structured** but flexible.  \n✅ **Provide explicit tool instructions** in a separate section.  \n✅ **Enable AI to ask clarifying questions** instead of making assumptions.  \n✅ **Use examples to guide expected outputs.**  \n\n\n"
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Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio - Inteligencia Artificial

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos11
Categoría1
Tipos de nodos7
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor
Imperol

Imperol

@imperolq

Automation expert with years of experience helping businesses improve their efficiency and productivity with smart automations that are affordable, scalable, and flexible.

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34