Automates the full outbound AI agent process from Airtable lead intake to HTML Gmail drafts and Airtable updates.
The AI agent pulls unprocessed company records from Airtable and enriches them with Jina AI to identify decision-makers and emails. It drafts personalized cold emails with OpenAI, then scores each draft. Finally, it formats polished emails as HTML drafts in Gmail and updates Airtable with lead data and outcomes.
Executes research, drafting, scoring, and delivery using your existing apps and services.
Pulls unprocessed company records from Airtable.
Uses Jina DeepSearch to locate decision-makers and emails.
Drafts personalized cold emails with OpenAI.
Scores emails 0-100 and routes below-threshold drafts to rewrite.
Rewrites emails via the AI Rewriter agent to improve quality.
Formats HTML drafts in Gmail and updates Airtable with results.
This AI agent replaces slow, manual prospecting with a structured, repeatable process that relies on your existing apps and services.
A simple 3-step flow that moves from data to a ready-to-send Gmail draft.
Pull unprocessed records from Airtable and assemble data for research.
Use Jina DeepSearch to locate decision-makers and emails; draft a personalized email with OpenAI.
Score drafts 0-100, rewrite if under the threshold, format HTML in Gmail, and update Airtable.
A realistic scenario showing task, time, and outcomes.
Scenario: A mid-market SaaS company has 120 unprocessed leads in Airtable. The AI agent processes 60 leads in 90 minutes, producing 22 HTML email drafts with scores above 80 and updates Airtable with lead outcomes and email summaries.
Roles that rely on scalable, personalized outbound outreach.
Need scalable, consistent outreach across teams.
Want faster lead qualification and outreach.
Require aligned messaging at scale.
Need to steadily grow the sales pipeline.
Maintain data hygiene across Airtable and email.
Coordinate multi-role campaigns with consistent results.
Built to work with your existing stack and automate data flow.
Reads unprocessed leads and writes outcomes back to records.
Performs deep search to locate decision-makers and emails for each company.
Creates HTML email drafts ready to send in Gmail.
Power AI agents for drafting, scoring, and rewriting emails.
Orchestrates the end-to-end workflow across apps.
Concrete scenarios where the AI agent adds value to outbound outreach.
Practical questions about setup, accuracy, and workflow.
Jina DeepSearch prioritizes public data and known patterns to identify decision-makers. It presents candidates with roles and company context, which the AI agents verify against your business assumptions. The system also logs confidence scores so you can review where data is uncertain. You can add a manual verification step if needed. Overall, accuracy improves with clean data and clear lead criteria.
The AI agent drafts compliant emails aligned with standard B2B outreach practices. If a recipient marks opt-out, the system can flag the lead in Airtable and stop further emails. You are responsible for your own list hygiene and consent policies. The workflow supports whitelisting and unsubscribes to maintain compliance. Always follow applicable laws and platform policies.
The current setup creates HTML drafts in Gmail for review before sending. This provides a human-in-the-loop to avoid accidental sends. You can modify the Gmail integration to send automatically, but you should assess deliverability and compliance risks first. The agent also records a log of drafts and outcomes for auditability. This balance keeps control while enabling speed.
The threshold is defined in the If node of the flow and defaults to 80. You can raise it to require higher-quality drafts or lower it to accelerate outreach. Any change affects only which drafts are rewritten and re-evaluated, not the drafting process itself. After adjusting, run a test cycle to observe the impact on volume and quality. Monitor results in Airtable to refine the setting.
All data flows through your own Airtable, Gmail, and OpenAI accounts with the appropriate API keys. Access is governed by your account permissions and the security of each service. The agent does not store data outside your apps unless you configure logging. You control data retention, sharing, and deletion policies in your workspace. If you need additional encryption, consider enterprise-grade configurations.
Yes. The flow is modular and can swap Airtable for a CRM or Google Sheets. You would replace the Airtable integrations with the corresponding connections and adjust field mappings. The rest of the process—decision-maker research, email drafting, scoring, and Gmail HTML draft creation—remains the same. This enables multi-system lead orchestration without changing core logic. Ensure data schemas align across systems.
You need an n8n account to orchestrate the flow, Airtable API keys and a base for lead data, a Jina AI API key for deep search, an OpenAI API key for the AI agents, and a connected Gmail account to generate HTML drafts. The setup includes configuring credentials and mapping fields between Airtable, Gmail, and the AI nodes. After setup, you can run test batches to validate data flow and email quality. Regular maintenance ensures API keys stay valid and data remains synchronized.
Automates the full outbound AI agent process from Airtable lead intake to HTML Gmail drafts and Airtable updates.
