How I Hire 10x Faster with AI Video (Free Template)
By Ben AI
Key Concepts
- Clay Automation Platform: A specialized automation platform primarily for sales and recruiting, featuring a built-in lead database and integrated enrichment APIs.
- AI Automation Engineers: The specific role used as a case study for the hiring automation.
- AI Agent (Clay's internal): An intelligent agent within Clay equipped with web research and LinkedIn scraping capabilities to evaluate candidate profiles against job descriptions.
- Fit Score: A quantitative assessment (0-100) generated by the AI agent, indicating how closely a candidate's profile aligns with the specified job requirements.
- Waterfall Enrichment System: A multi-stage process for finding candidate emails, where multiple email finder APIs are sequentially queried until a valid email is located.
- Email Validation Tool: A utility used to verify the deliverability and validity of discovered email addresses.
- Personalized Outreach Email: An email automatically generated by an AI model (e.g., OpenAI), customized with specific details from the candidate's profile and the job description.
- AI Personalized Video: A video outreach method that automatically incorporates the candidate's name (via voice cloning) and dynamically scrolls through their LinkedIn profile in the background.
- Senspark: A third-party tool used to create AI-personalized videos, enabling the "watermelon" technique for name insertion.
- "Watermelon" Technique: A method in Senspark where a placeholder word (e.g., "watermelon") is spoken in a base video, which the system then replaces with the actual candidate's name using voice cloning.
- Instantly: An external outreach tool for sending bulk email campaigns, integrated with Clay for automated delivery.
- API Credentials/Keys: Unique authentication tokens required to access and utilize external services (like OpenAI, email finders, Senspark) directly, often at a lower cost than platform-managed credits.
- Clay Credits: The internal currency used by the Clay platform for various actions, which can be more expensive than using personal API keys for external services.
- System Prompt: Detailed instructions provided to an AI model to define its task, desired output format, and constraints.
- Guardrails (for AI): Specific guidelines or limitations imposed on an AI model's output to ensure it remains relevant, natural-sounding, and adheres to desired communication styles.
- N8N: An alternative automation platform mentioned as being less efficient and more complex to set up for these specific recruiting workflows compared to Clay.
Overview: 10x Faster Hiring with Clay Automation
This summary details a comprehensive Clay automation designed to accelerate the hiring process by a factor of ten. The system automates candidate discovery, fit assessment, contact information retrieval, and personalized outreach, including AI-generated emails and videos. The speaker, Ben, founder of Ben Aai, emphasizes Clay's advantages for recruiting workflows and provides a free template for users to replicate the system.
Clay Platform Advantages and Use Cases
The automation is built on Clay, an automation platform primarily focused on sales and recruiting. Ben highlights several advantages of Clay over alternatives like N8N:
- Built-in Database: Clay includes a proprietary database of leads and candidates, similar to LinkedIn Sales Navigator, eliminating the need for external sourcing tools in many cases.
- Integrated Enrichment APIs: Numerous lead enrichment APIs (e.g., email finders, intent signals, LinkedIn scrapers, outreach tools) are natively built into Clay, simplifying workflow setup.
- Ease and Speed of Setup: While similar workflows can be recreated in N8N, Clay offers a significantly easier and faster setup process for complex recruiting automations, justifying its potentially higher cost.
- Signals Feature: Clay allows for trigger signals based on specific events (e.g., job change, new hire, job posting), enabling proactive automation.
Ben's company, Ben Aai, uses Clay for its custom AI agency, ready-made marketing systems (SEO, LinkedIn, newsletter), AI-automated recruiting systems for agencies, and an accelerator for AI businesses.
Step-by-Step Automation Workflow
The Clay automation workflow proceeds through several interconnected stages:
1. Candidate Sourcing and Initial Filtering
- Source Selection: Users begin by selecting "Find People" within Clay to identify potential candidates.
- Criteria Definition: Similar to LinkedIn Sales Navigator or Apollo, users input specific criteria such as job titles (e.g., "AI automation engineer"), keywords in bios (e.g., "nanmake.com," "no code"), and location.
- Preview and Application: The system previews results (e.g., "around 3,400 results" in the example). Ben advises filtering down to a few hundred or a couple of thousand to avoid overspending, as the AI agent will further filter bad fits.
- Push to Table: Selected profiles are automatically pushed into a Clay table, which functions as the automation workflow canvas, displaying initial data like company name, first name, last name, job title, location, company domain, and LinkedIn profile.
2. Candidate Fit Scoring with AI Agent
- Clay Agent Integration: The first action in the table is the "candidate fit score," powered by Clay's internal AI agent. This agent has built-in web research tools and LinkedIn scrapers.
- System Prompt: A detailed system prompt is provided to the AI agent, instructing it to:
- "review the candidates's LinkedIn profile and enrich data to assess their closeness to the provided job description."
- "output a structured sheet that includes a score from 0 to 100 of candidate fit along with supporting evidence for the score."
- Input and Output: The LinkedIn profile URL is passed as a variable to the agent. The agent then scrapes the profile, processes the data against the user's job description (which must be customized), and outputs a "fit score" (e.g., "92 fit score") and "fit score evidence" explaining the assessment.
- Conditional Filtering: A crucial filter is applied in subsequent steps to only continue the workflow if the "fit score is higher than 75." Clay simplifies this by allowing users to describe conditions in human language (e.g., "only run this if the fit score is above 75"), which it then converts into a formula.
3. Email Discovery via Waterfall Enrichment
- Multi-Tool Approach: To maximize the success rate of finding emails, Clay employs a "waterfall enrichment system" that integrates multiple email finder APIs (e.g., seven different tools in the example).
- Sequential Checking: If an email is not found by the first tool, the system automatically checks the second, then the third, and so on, leveraging the unique databases of each provider. This ensures a high email discovery rate, often "90-95% plus emails."
- Email Validation: After each email finder tool, a "validate email tool" is used to confirm the email's validity and deliverability, preventing outreach to invalid addresses.
- API Credentials Importance: It is "really important" to use personal API credentials for these external tools. If not, Clay will charge users through "Clay credits," which are "far more expensive than the actual API cost."
- Cost Optimization Tip: Users are advised that they "most likely won't need these seven different email finder tools." Using just one or two can still yield "90% of the emails" and avoid overspending.
4. Personalized Outreach Email Generation
- OpenAI Integration: An OpenAI column is used to generate a personalized outreach message.
- Best Practices for AI Outreach: Ben "highly recommend[s]" to:
- Have the message "heavily templatized."
- Give the AI (LLM) "a lot of guardrails on how to write it."
- Allow "only a small window of personalization" to prevent the message from sounding "very AI like."
- Data Input: The prompt incorporates previous data such as full name, job title, company name, and the "fit core evidence" to personalize the message.
- Output Example: The AI generates a concise email, like "Hi Sahar. I came across your profile like your experience in AI automation at Ecom. I recorded a quick video for you because we're currently looking for NA developers to join our company..."
5. AI Personalized Video Outreach with Senspark
- High Reply Rates: Personalized video outreach is described as "quite powerful" and capable of achieving "really high reply rates," especially when coming from a founder.
- Senspark Tool: The system uses Senspark to create these videos.
- "Watermelon" Technique: Users record a base video saying a placeholder word (e.g., "Hi watermelon"). Senspark then uses voice cloning to automatically replace "watermelon" with the candidate's actual name.
- LinkedIn Background: The candidate's LinkedIn profile URL is passed as a variable, allowing Senspark to automatically display their profile scrolling in the video background.
- Senspark Plan Requirements:
- Plus Plan ($250): Required for full API integration and complete automation.
- Solo Plan (Workaround): For users unwilling to pay for the Plus plan, a manual workaround involves:
- Downloading the Clay table with variables (name, email, LinkedIn profile).
- Uploading this data to Senspark for bulk video creation.
- Downloading the generated video links.
- Uploading the links back into the Clay table to continue the automation.
- Native Clay Integration: Clay has a native integration with Senspark, making setup easy once API credentials are provided.
6. Outreach Delivery
- Outreach Tool Integration: The final step is to send the personalized outreach. For bulk sending, Ben uses Instantly, an outreach tool. For smaller databases, a Gmail action can be used.
- Data Push: The system pushes relevant data to Instantly, including the work email, first name, last name, company name, the personalized outreach email text (as a variable), and the personalized video link (as a variable).
- Campaign Setup: Within Instantly, a simple email campaign is set up with placeholders for personalization and the video link. The final email includes the personalized text, video link, and a booking link.
Template Import and Setup Guide
A free template for this automation is available via a link in the video description.
- Access Template: Click the provided link to access the template in Clay.
- Create Account/Table: If new to Clay, create an account. Otherwise, click "create table."
- Upgrade Plan: A Clay Starter Plan ($149) is required to use the template and its features, as it necessitates Clay credits.
- Replace API Credentials (Crucial Step): This is the most important step for cost efficiency. For each external service used (OpenAI, email finders, Senspark), users must replace Clay's managed API accounts with their own personal API keys.
- Candidate Fit Score (AI Agent): Edit the column and change "clay managed openai account" to your own OpenAI API key.
- Personalized Outreach Email (OpenAI): Do the same for this OpenAI column.
- Work Email Finder: For each email finder tool in the waterfall system, go to "full configuration" and input your specific API key. Users can choose to keep only one or two email finders to save costs.
- Senspark: Create a Senspark account, record a campaign video (using the "watermelon" technique), and then add your Senspark API key in Clay. Configure the Senspark action to pass the contact name, contact email, and LinkedIn profile URL as variables.
- Connect Outreach Tool: Connect your preferred outreach tool (e.g., Instantly) to the workflow.
Synthesis and Conclusion
This Clay automation provides a powerful, end-to-end solution for significantly accelerating the hiring process. By integrating AI for candidate fit assessment, a robust waterfall system for email discovery, and highly personalized AI-generated emails and videos, it streamlines recruitment from sourcing to initial outreach. The system's effectiveness is amplified by Clay's built-in features and integrations. Users are strongly advised to leverage their own API credentials for external services to optimize costs and to follow best practices for AI-generated content to ensure authenticity and high engagement. The availability of a free template makes this sophisticated system accessible, provided users meet the Clay plan requirements and correctly configure their API keys.
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