Lucy: Morning Daily Reminder Assistant

AI-powered personal assistant workflow using Groq LLM and Slack to format and deliver daily morning briefings.

Download

#slack#groq#ai#langchain#reminders#assistant

ComplexityIntermediate

Total Nodes4

Target Version1.74.0

Author / TeamUzair Atiq

Integrated Service Nodes

webhookslack@n8n/n8n-nodes-langchain.chainLlm@n8n/n8n-nodes-langchain.lmChatGroq

Documentation & Blueprints

Lucy: Morning Daily Reminder Assistant

Overview

Lucy is an autonomous morning briefing workflow for n8n. It receives raw daily tasks via a webhook, instructs a Groq-hosted language model using LangChain to format the tasks as a cheerful and witty personal assistant named Lucy, and posts the resulting message directly into your #daily-reminder Slack channel.

What It Does

Webhook Ingestion: Listens for incoming POST payloads on the reminders endpoint containing raw tasks or bullet points for the day.
AI Formatting (LangChain + Groq): Feeds the task list into an LLM chain powered by Groq (openai/gpt-oss-20b). Lucy structures the tasks chronologically, adds a fresh morning greeting, and keeps the text concise.
Slack Delivery: Sends the formatted message directly into the designated Slack channel (#daily-reminder).

Credentials Required

Service	Credential Type	Reference ID in Template	Description
Groq Cloud	`groqApi`	`Y22P0ugDDZZnNpfn` (`Groq account`)	Required for LLM inference on the `openai/gpt-oss-20b` model.
Slack	`slackApi`	`CTorciADOe5rBM35` (`Slack account 3`)	Required to post messages to channel `C0C9LP8KQ1H` (`#daily-reminder`).

Architecture

[Webhook POST /reminders]
          |
          v
[Basic LLM Chain] <--- [Groq Chat Model (openai/gpt-oss-20b)]
          |
          v
[Send a message (Slack)] ---> [#daily-reminder]

Step-by-Step Setup in n8n

Follow these steps to deploy this blueprint to your personal n8n instance:

Step 1: Import Workflow

Download workflow.json from the OrbitFlow card.
In your n8n workspace, navigate to Workflows.
Click the menu in the top right corner and select Import from File.
Select the downloaded workflow.json.

Step 2: Configure Groq API Credential

Open Groq Console and generate an API key.
In n8n, navigate to Credentials > Add Credential and search for Groq API.
Paste your Groq API key and save the credential.
In the workflow canvas, double-click the Groq Chat Model node and select your Groq credential from the dropdown.

Step 3: Configure Slack Credential and Channel

In n8n, navigate to Credentials > Add Credential and search for Slack API (OAuth2 or Bot User Token).
Connect your Slack workspace and authorize the required scopes (chat:write).
In Slack, make sure the bot is invited to your target reminder channel by running /invite @YourBotName in #daily-reminder.
In the workflow canvas, double-click the Send a message node:
- Select your Slack credential.
- Select your target channel (e.g. daily-reminder).

Step 4: Configure Webhook Trigger

Double-click the Webhook node.
Note the Test URL and Production URL.

The expected input payload format is JSON:

{
  "text": "5:00 PM - Gym session\nTeam standup at 10:00 AM\nFinish project documentation"
}

Step 5: Test and Activate

Click Listen for test event on the Webhook node.
Send a test HTTP POST request to the Webhook URL using curl, Postman, or a webhook tester.
Confirm that Lucy generates the morning greeting and delivers it to your Slack channel.
Toggle the workflow to Active in the top navigation bar.

Overview

What It Does

Webhook Ingestion: Listens for incoming POST payloads on the reminders endpoint containing raw tasks or bullet points for the day.

AI Formatting (LangChain + Groq): Feeds the task list into an LLM chain powered by Groq (openai/gpt-oss-20b). Lucy structures the tasks chronologically, adds a fresh morning greeting, and keeps the text concise.

Slack Delivery: Sends the formatted message directly into the designated Slack channel (#daily-reminder).

Service

Credential Type

Reference ID in Template

Description

Groq Cloud

groqApi

Y22P0ugDDZZnNpfn (Groq account)

Required for LLM inference on the openai/gpt-oss-20b model.

Slack

slackApi

CTorciADOe5rBM35 (Slack account 3)

Required to post messages to channel C0C9LP8KQ1H (#daily-reminder).

Step-by-Step Setup in n8n

Follow these steps to deploy this blueprint to your personal n8n instance:

Step 1: Import Workflow

Download workflow.json from the OrbitFlow card.

In your n8n workspace, navigate to Workflows.

Click the menu in the top right corner and select Import from File.

Select the downloaded workflow.json.

Step 2: Configure Groq API Credential

Open Groq Console and generate an API key.

In n8n, navigate to Credentials > Add Credential and search for Groq API.

Paste your Groq API key and save the credential.

In the workflow canvas, double-click the Groq Chat Model node and select your Groq credential from the dropdown.

Step 3: Configure Slack Credential and Channel

In n8n, navigate to Credentials > Add Credential and search for Slack API (OAuth2 or Bot User Token).

Connect your Slack workspace and authorize the required scopes (chat:write).

In Slack, make sure the bot is invited to your target reminder channel by running /invite @YourBotName in #daily-reminder.

In the workflow canvas, double-click the Send a message node:

Select your Slack credential.
Select your target channel (e.g. daily-reminder).

Step 4: Configure Webhook Trigger

Double-click the Webhook node.

Note the Test URL and Production URL.

The expected input payload format is JSON:

{
  "text": "5:00 PM - Gym session\nTeam standup at 10:00 AM\nFinish project documentation"
}

Step 5: Test and Activate

Click Listen for test event on the Webhook node.

Send a test HTTP POST request to the Webhook URL using curl, Postman, or a webhook tester.

Confirm that Lucy generates the morning greeting and delivers it to your Slack channel.

Toggle the workflow to Active in the top navigation bar.

OrbitFlow

Production n8n Blueprints