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Generate and evaluate AI prompts with Gemini, OpenRouter, Groq, Cohere and Supabase

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Generate and evaluate AI prompts with Gemini, OpenRouter, Groq, Cohere and Supabase preview
Open on n8n.io

1. Workflow Overview

Quick overview This workflow receives a goal via webhook, generates three prompt candidates using Google Gemini, OpenRouter, and Groq, has Cohere evaluate and select the best prompt, then returns t...

Best for

  • Engineering automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.lmchatgroq, @n8n/n8n-nodes-langchain.lmchatcohere, n8n-nodes-base.supabase, n8n-nodes-base.merge, n8n-nodes-base.respondtowebhook

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Kanishka Shrivastava.

Original n8n.io source

1.1 Workflow description

Title
Generate and evaluate AI prompts with Gemini, OpenRouter, Groq, Cohere and Supabase
Workflow name
Generate and evaluate AI prompts with Gemini, OpenRouter, Groq, Cohere and Supabase

Quick overview

This workflow receives a goal via webhook, generates three prompt candidates using Google Gemini, OpenRouter, and Groq, has Cohere evaluate and select the best prompt, then returns the result to the caller and stores the goal and winning prompt in Supabase.

How it works

  1. Receives a POST webhook request containing a JSON body with a goal value.
  2. Sends the goal to three parallel prompt-engineering agents backed by Google Gemini, OpenRouter, and Groq to generate creative, marketing, and technical prompt candidates.
  3. Combines the three generated prompt candidates into a single structured payload.
  4. Uses a Cohere-powered evaluator to compare the candidates and return the best prompt (and a reason) as JSON.
  5. Responds to the webhook caller with the evaluator output.
  6. Creates a new row in a Supabase prompts table, saving the original goal and the selected best prompt.

Setup

  1. Add credentials for Google Gemini (PaLM), OpenRouter, Groq, and Cohere so the agents and evaluator can run.
  2. Add your Supabase API credentials and ensure a prompts table exists with fields/columns for goal and best_prompt.
  3. Copy the production webhook URL and send POST requests with { "goal": "..." } from your client or source app.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2.1

Block 2 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 3 - OpenRouter Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices
Version 1

Block 4 - Groq Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices
Version 1

Block 5 - Cohere Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatCohere - lmChatCohere
Config choices
Version 1

Block 6 - Create a row

Type / Role
n8n-nodes-base.supabase - supabase
Config choices
Version 1

Block 7 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.2

Block 8 - Respond to Webhook

Type / Role
n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices
Version 1.5

Block 9 - Creative Prompt Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 10 - Marketing Prompt Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 11 - Technical Prompt Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 12 - Best Prompt Evaluator

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 13 - Extract Goal

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 14 - Combine Agent Outputs

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 15 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Generate and evaluate AI prompts with Gemini, OpenRouter, Groq, Cohere and Supabase
Complexity advanced
Nodes 20
Categories Engineering, AI Summarization
Author Kanishka Shrivastava
Published 02 Jun 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/16063/16063.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate and evaluate AI prompts with Gemini, OpenRouter, Groq, Cohere and Supabase do?

Quick overview This workflow receives a goal via webhook, generates three prompt candidates using Google Gemini, OpenRouter, and Groq, has Cohere evaluate and select the best prompt, then returns t...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.