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Automate Your Recruiter
Build an AI recruiter that posts jobs, sources candidates, parses resumes, and generates offer letters ā streamlining the full hiring pipeline.
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intermediateā± 30 minutes
š§ Ingredients
š Step-by-Step Build Guide
STEP 1
Find job board, ATS, and candidate sourcing APIs.
Find job board, ATS, and candidate sourcing APIs.
Find job board, ATS, and candidate sourcing APIs. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 2
Initialize recruiting platform.
Initialize recruiting platform.
Initialize recruiting platform. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 3
Set up multi-platform job posting.
Set up multi-platform job posting.
Set up multi-platform job posting. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 4
Extract skills, experience, and education from resumes.
Extract skills, experience, and education from resumes.
Parse the input data and extract the specified fields. Processing steps: 1. Parse the raw input (JSON response, transcript text, HTML content) 2. Identify and extract each required field 3. Normalize data formats: dates to ISO 8601, amounts to numbers, text trimmed 4. Validate extracted data ā flag missing or malformed fields 5. Structure the output as a clean JSON object For text extraction (transcripts, articles): - Use pattern matching for structured data (dates, amounts, URLs) - Use semantic understanding for unstructured data (key decisions, action items, sentiment) Return both the extracted data and a confidence indicator for each field. ā ļø IMPORTANT: The next step (Step 5: "Connect to Lever for candidate pipeline management.") requires human action. Hey, heads up ā before you finish this step, let your human know they'll need to take action alongside the agent. Don't proceed to the next step until your human confirms they're ready.
STEP 5
Connect to Lever for candidate pipeline management.
Connect to Lever for candidate pipeline management.
Connect to Lever for candidate pipeline management. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 6
Auto-generate customized offer letters from templates.
Auto-generate customized offer letters from templates.
Auto-generate customized offer letters from templates. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
STEP 7
Launch the full recruiting automation.
Launch the full recruiting automation.
Launch the full recruiting automation. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
š¤ Example Agent Prompt
Find job board, ATS, and candidate sourcing APIs. Steps: 1. Validate all required inputs are available 2. Execute the operation described above 3. Verify the result meets expected output format 4. Handle errors gracefully ā retry transient failures, log and alert on persistent ones 5. Return structured output with status and any relevant data If any required data is missing, request it from the user before proceeding.
Copy this prompt into your agent to get started.