Generate Custom Text Content with IBM Granite 3.3 8B Instruct AI

This workflow connects to Replicate’s API and uses the ibm-granite/granite-3.3-8b-instruct model to generate text.

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✅ 🔵 SECTION 1: Trigger & Setup

⚙️ Nodes

1️⃣ On clicking 'execute'

• What it does: Starts the workflow manually when you hit Execute.
• Why it’s useful: Perfect for testing text generation on-demand.

2️⃣ Set API Key

• What it does: Stores your Replicate API key securely.
• Why it’s useful: You don’t hardcode credentials into HTTP nodes — just set them once here.
• Beginner tip: Replace YOUR_REPLICATE_API_KEY with your actual API key.

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💡 Beginner Benefit

✅ No coding needed to handle authentication. ✅ You can reuse the same setup for other Replicate models.

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✅ 🤖 SECTION 2: Model Request & Polling

⚙️ Nodes

3️⃣ Create Prediction (HTTP Request)

• What it does: Sends a POST request to Replicate’s API to start a text generation job.
• Parameters include: temperature, max_tokens, top_k, top_p.
• Why it’s useful: Controls how creative or focused the AI text output will be.

4️⃣ Extract Prediction ID (Code)

• What it does: Pulls the prediction ID and builds a URL for checking status.
• Why it’s useful: Replicate jobs run asynchronously, so you need the ID to track progress.

5️⃣ Wait

• What it does: Pauses for 2 seconds before checking the prediction again.
• Why it’s useful: Prevents spamming the API with too many requests.

6️⃣ Check Prediction Status (HTTP Request)

• What it does: Polls the Replicate API for the current status (e.g., starting, processing, succeeded).
• Why it’s useful: Lets you loop until the AI finishes generating text.

7️⃣ Check If Complete (IF Condition)

• What it does: If the status is succeeded, it goes to “Process Result.” Otherwise, it loops back to Wait and retries.
• Why it’s useful: Creates an automated polling loop without writing complex code.

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💡 Beginner Benefit

✅ No need to manually refresh or check job status. ✅ Workflow keeps retrying until text is ready. ✅ Smart looping built-in with Wait + If Condition.

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✅ 🟢 SECTION 3: Process & Output

⚙️ Nodes

8️⃣ Process Result (Code)

• What it does: Collects the final AI output, status, metrics, and timestamps.

• Adds info like:

  • ✅ output → Generated text
  • ✅ model → ibm-granite/granite-3.3-8b-instruct
  • ✅ metrics → Performance data

• Why it’s useful: Gives you a neat, structured JSON result that’s easy to send to Sheets, Notion, or any app.

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💡 Beginner Benefit

✅ Ready-to-use text output. ✅ Easy integration with any database or CRM. ✅ Transparent metrics (when it started, when it finished, etc.).

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✅✅✅ ✨ FULL FLOW OVERVIEW

| Section | What happens | | ------------------------------ | ---------------------------------------------------------------------------- | | ⚡ Trigger & Setup | Start workflow + set Replicate API key. | | 🤖 Model Request & Polling | Send request → get Prediction ID → loop until job completes. | | 🟢 Process & Output | Extract clean AI-generated text + metadata for storage or further workflows. |

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📌 How You Benefit Overall

✅ No coding needed — just configure your API key. ✅ Reliable polling — the workflow waits until results are ready. ✅ Flexible — you can extend output to Google Sheets, Slack, Notion, or email. ✅ Beginner-friendly — clean separation of input, process, and output.

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✨ With this workflow, you’ve turned Replicate’s IBM Granite LLM into a no-code text generator — running entirely inside n8n! ✨

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