Generate Personalized Email Sequences with Octave, LLM & External Data

Description

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Generate dynamic email sequences with runtime context and external data

Who is this for?
Growth teams, sales development reps, and outbound marketers who want to reference specific, real-time information about prospects in their email sequences. Built for teams that have access to external data sources and want to create truly contextualized outreach that feels impossibly relevant.

What problem does this solve?
Most outbound sequences are static - they use the same messaging for everyone regardless of what's actually happening at the prospect's company right now. You might know they're hiring, launched a product, got funding, or expanded to new markets, but your email sequences can't dynamically reference these timely events. This workflow shows how to inject real-time external context into Octave's sequence generation, creating outreach that feels like you're personally monitoring each prospect's company.

What this workflow does

Lead Data & Context Collection:
Receives lead information via webhook (firstName, companyName, companyDomain, profileURL, jobTitle)
Uses external data sources to gather timely context about the prospect's company
Example: AI agent researches current job postings to find roles they're actively hiring for
Processes this context into structured data for sequence generation

Runtime Context Integration:
Feeds external context into Octave's sequence generation as "runtime context"
Defines both WHAT the context is ("they are hiring a software engineer") and HOW to use it ("mention the role in the opening")
Allows Octave to weave timely, relevant details into each email naturally
Creates sequences that feel like personal research rather than mass outreach

Dynamic Sequence Generation:
Leverages Octave's context engine plus runtime data to create hyper-relevant sequences (1-7 emails)
Generates subject lines and email content that reference specific, current company context
Maintains your positioning and value prop while incorporating timely relevance
Creates messaging that feels unmistakably meant for that specific moment in the prospect's business

Campaign Integration:
Automatically adds leads with contextualized sequences to your email platform
Maps generated content to campaign variables for automated sending
Supports multiple email platforms with easy customization

Setup

Required Credentials:
Octave API key and workspace access
External data source API (job boards, news APIs, enrichment services, etc.)
Email platform API key (Instantly.ai configured, easily adaptable)
Optional: LLM credentials if using the example AI agent for testing

Step-by-Step Configuration:

Set up External Data Source:
Replace the AI Agent with your preferred data source (job board APIs, news APIs, company databases)
Configure data collection to find relevant, timely information about prospects
Structure the output to provide clean context for sequence generation

Set up Octave Sequence Agent:
Add your Octave API credentials in n8n
Replace your-octave-sequence-agent-id with your actual sequence agent ID
Configure runtime context parameters:
Runtime Context: Define WHAT the external data represents
Runtime Instructions: Specify HOW to use it in the messaging

Configure Email Platform:
Add your email platform API credentials
Replace your-campaign-id-here with your actual campaign ID
Ensure campaign supports custom variables for dynamic content

Set up Lead Source:
Replace your-webhook-path-here with a unique, secure path
Configure your lead source to send prospect data to the webhook
Test end-to-end flow with sample leads

Required Webhook Payload Format:
{
"body": {
"firstName": "Alex",
"lastName": "Chen",
"companyName": "InnovateTech",
"companyDomain": "innovatetech.com",
"profileURL": "https://linkedin.com/in/alexchen",
"email": "[email protected]",
"jobTitle": "VP of Engineering"
}
}

How to customize

External Data Sources: Replace the AI agent with your preferred context collection method:
Job Board APIs:** Reference current hiring needs and team expansion
News APIs:** Mention recent company announcements, funding, or product launches
Social Media Monitoring:** Reference recent LinkedIn posts, company updates, or industry discussions
Enrichment Services:** Pull real-time company data, technology stack changes, or market expansion

Runtime Context Configuration: Customize how external data integrates with sequences:
Context Definition:** Specify what the external data represents ("they just raised Series B funding")
Usage Instructions:** Define how to incorporate it ("mention the funding in the opening and tie it to growth challenges")
Email-Level Control:** Configure different context usage for different emails in the sequence
Global vs. Specific:** Apply context to all emails or target specific messages

Data Processing: Replace the example AI agent with your external data processing:
Modify data source connections to pull relevant context
Ensure consistent output formatting for runtime context integration
Add error handling for cases where external data isn't available
Implement fallback context for prospects without relevant external data

Sequence Customization: Configure Octave sequence generation:
Core Context (Library):** Define your personas, use cases, and offering definitions
Strategy (Playbooks):** Configure messaging frameworks and value proposition delivery
Writing Style (Agent):** Adjust tone, voice, and communication style

Email Platform Integration: Adapt for different email sequencing platforms:
Update API endpoints and authentication for your preferred platform
Modify variable mapping for platform-specific custom fields
Adjust sequence length and formatting requirements

Use Cases
Job posting-triggered outreach for hiring managers and HR teams
Funding announcement follow-ups for growth-stage companies
Product launch congratulations with relevant use case discussions
Market expansion outreach when companies enter new territories
Technology adoption sequences based on recent stack additions
Event attendance follow-ups with session-specific references