How to build a recruiting assistant
Free blueprint for a recruiting assistant. A low-code, workflow-driven, cloud-hosted stack with 18 connected components. Built around Clay, Fireflies.ai, Composio, Notion. Copy it, export it, or change the answers to fit your project.
Recruiting & HR agent
A low-code, workflow-driven, cloud-hosted stack with 18 connected components.
Architecture map
Tap a component to see its connections
Swipe sideways to see the whole map
Tool configuration
Interface & triggers
Chat interface
Where people talk to the agent
Web chat widgetor Slack or Teams bot
Event triggers
Starts the agent when something happens in your apps
Zapieror Make, n8n
Orchestration
Workflow automation
Chains AI steps with app actions visually
n8nor Make, Zapier
Human approval step
Pauses risky actions until a person approves
Built into your orchestratoror n8n wait node, Slack approval message
Reasoning
Reasoning model
General-purpose model with tool calling
ChatGPT / OpenAIor Claude, Gemini
Memory & knowledge
Conversation memory
Keeps track of the current chat or task
Built into your orchestratorLong-term memory
Remembers people, preferences and past outcomes
Mem0or LangChain memory
Document ingestion
Splits and indexes your files and pages
Built-in knowledge baseor Firecrawl, LlamaIndex
Vector database
Finds the most relevant passages for each question
Pineconeor Weaviate, Qdrant
Tools & integrations
Connector hub
One secure gateway to your apps (incl. MCP)
Composioor Zapier MCP, n8n
Email
Reads and sends email
Gmail / OutlookTeam chat
Posts updates and takes requests
Slack / Microsoft TeamsDocs & wikis
Reads and writes team documents
Notionor Google Drive, Confluence
Hiring system (ATS)
Holds jobs, candidates and pipeline stages
Greenhouse / Lever / WorkableCandidate sourcing
Finds and enriches candidate profiles
Clayor LinkedIn Recruiter
Interview notes
Records and summarises interviews
Fireflies.aior Otter.ai
Monitoring & safety
Guardrails
Blocks unsafe input, prompt injection and data leaks
Input & output checksor Allow-list of tool actions
Tracing & evaluation
Records every step, cost and answer quality
Langfuseor LangSmith, Weights & Biases
Set up your agent, step by step
Tick each step as you finish it. Your progress is saved with this plan in your AItooling account.
0 of 27 done
AItooling never signs up for you and never asks for your passwords or keys. You create each account yourself on the tool's own website, and only your ticks are saved here.
Sign in and save this plan to keep your progress in your account.
1Create your accounts
Sign up or install it, then make a new project for this agent.
Sign up and set up the place where people will talk to the agent.
Sign up, create an API key and set a monthly spending limit before anything else.
Sign up and create a new database or index just for this agent.
Sign up and create a new database or index just for this agent.
Sign up and connect only the apps this agent needs, with read-only access where you can.
Use the account you already have, and give the agent its own login with only the access it needs.
Use the account you already have, and give the agent its own login with only the access it needs.
Sign up and connect only the apps this agent needs, with read-only access where you can.
Use the account you already have, and give the agent its own login with only the access it needs.
Sign up and connect only the apps this agent needs, with read-only access where you can.
Sign up and connect only the apps this agent needs, with read-only access where you can.
Sign up and turn on logging so you can review what the agent does.
2Build it in this order
3Launch your agent
Copy the ready-made code for this agent. It hides secrets and personal data before the AI model sees them.
Put each key in a password manager or your hosting's secret settings. Never paste keys or passwords into AItooling or a chat.
Start small, read every answer yourself, and only then let other people use it.
Want to go deeper?
Read our step-by-step guides on building agents. Browse guides